{ "session_id": "20260523_134803_1c2930", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-05-23T13:48:03.653666", "last_updated": "2026-05-23T13:48:57.833802", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [85% — 1,874/2,200 chars]\n══════════════════════════════════════════════\nGateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\n§\n`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\n§\nPrintVault: /media/HDD_1TB/PrintVault/, port 3001, rebuild on code changes. NEVER delete .py files from hermes-agent/ — triggers ModuleNotFoundError cascade. Recover with `git restore .`.\n§\nZimaOS 3D-CAD: trimesh+manifold3d (venv /DATA/AppData/hermes/venv). CadQuery blocked (no libGL). np.ptp(arr) not arr.ptp(). 3MF needs networkx. Output: projects/3d/. Docker build: sudo chown az-a:docker /tmp/docker-config, DOCKER_CONFIG=/tmp/docker-config docker build --no-cache. Source changes → rmi image → rebuild.\n§\nAhmed uses Ollama Cloud Pro ($20/mo, NOT local Ollama). Base URL: https://ollama.com/v1. 3 concurrent model limit. Setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary + CCR coding), gemma3:4b (vision). Never add 4th model (404).\n§\nKiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \"SCHEDULE\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: check TELEGRAM_BOT_TOKEN + TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, gateway section in /DATA/AppData/hermes/config.yaml, stale PID/lock in /DATA/AppData/hermes/.\n§\nGoogle Workspace OAuth ready: GAPI=python3 /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py. Token at /DATA/.hermes/google_token.json. Gmail: ahmed.aytac@gmail.com. All scopes granted.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\nProject dirs: /DATA/AppData/hermes/projects/ and /DATA/AppData/hermes/work/. (Note: \"Projekte\" folder deleted — now using \"projects\" exclusively.)\n§\nUser: Ahmed Zeyd Aytac. Calls me 'Kiwi'. Wants to be addressed as 'Boss' or 'Chef' — never 'Ahmed'. If using his name, use 'Zeyd' only.\n§\nUser's location is Wien (Vienna), Austria. When asked about weather, use this location by default.\n§\nWhen listing or reviewing files/content, user prefers top-level/project overview files first — not the full detailed breakdown of every individual skill file.\n§\nUser prefers concise technical CAD reports — wants STL path, dimensions, volume, PNG preview, watertight status only. Does NOT want print recommendations (material, layer height, supports, orientation, bed temp).\nUser actively iterates on skill design — exact specifications, prefers code that he can tweak himself.\n§\nUser does not want end-of-session skill reviews. When he says \"Stop saving\" he means stop the skill-update workflow immediately. Do not ask to review or save skills at session end.\n§\nUser wants YOLO mode permanently on — `approvals.mode: off` set in config.yaml. Never ask for command approval; just execute. (Doesn't override hardline blocklist: reboot, shutdown still blocked.)\n§\nUser wants responses without any header/separator lines (\"Text überhalb von den Linien\"). Clean, direct messages only.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - media-file-management: Organize and normalize local media files (movies, TV show...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - daily-dose: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Ka...\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n - zimaos-web-app: Build small single-file web apps for ZimaOS using FastAPI...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Saturday, May 23, 2026 01:48 PM\nModel: deepseek-v4-pro\nProvider: custom\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.", "tools": [ { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } } ], "message_count": 33, "messages": [ { "role": "user", "content": "[The user sent a document: '2025-02-11_polizze.pdf'. The file is saved at: /DATA/.hermes/cache/documents/doc_e4f4914cd4ff_2025-02-11_polizze.pdf. Ask the user what they'd like you to do with it.]\n\nBitte genau und aufmerksam lesen: wie bin ich hier geschützt?" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_dhr2xvmd", "call_id": "call_dhr2xvmd", "response_item_id": "fc_dhr2xvmd", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"ocr-and-documents\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The user is asking me to read their insurance policy document (Polizze) and explain how they're protected/covered. Let me load the OCR skill first since this is a PDF document, then read it carefully.", "reasoning_content": "The user is asking me to read their insurance policy document (Polizze) and explain how they're protected/covered. Let me load the OCR skill first since this is a PDF document, then read it carefully." }, { "role": "tool", "content": "[skill_view] name=ocr-and-documents (7,117 chars)", "tool_call_id": "call_dhr2xvmd" }, { "role": "assistant", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:" }, { "role": "user", "content": "[System note: Your previous turn was interrupted before you could process the last tool result(s). The conversation history contains tool outputs you haven't responded to yet. Please finish processing those results and summarize what was accomplished, then address the user's new message below.]\n\nMach es mit Claude Code harness" }, { "role": "assistant", "content": "", "reasoning": "The user wants me to delegate the entire CallKeep app build to Claude Code using the delegate_task tool with acp_command='claude'. Let me check the claude-code skill first for the correct approach.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to delegate the entire CallKeep app build to Claude Code using the delegate_task tool with acp_command='claude'. Let me check the claude-code skill first for the correct approach.", "tool_calls": [ { "id": "call_k4ism6dl", "call_id": "call_k4ism6dl", "response_item_id": "fc_k4ism6dl", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"claude-code\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"claude-code\", \"description\": \"Delegate coding to Claude Code CLI (features, PRs).\", \"tags\": [\"Coding-Agent\", \"Claude\", \"Anthropic\", \"Code-Review\", \"Refactoring\", \"PTY\", \"Automation\"], \"related_skills\": [\"hermes-agent\", \"opencode\"], \"content\": \"---\\nname: claude-code\\ndescription: \\\"Delegate coding to Claude Code CLI (features, PRs).\\\"\\nversion: 2.2.0\\nauthor: Hermes Agent + Teknium\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [Coding-Agent, Claude, Anthropic, Code-Review, Refactoring, PTY, Automation]\\n related_skills: [hermes-agent, opencode]\\n---\\n\\n# Claude Code — Hermes Orchestration Guide\\n\\nDelegate coding tasks to [Claude Code](https://code.claude.com/docs/en/cli-reference) (Anthropic's autonomous coding agent CLI) via the Hermes terminal. Claude Code v2.x can read files, write code, run shell commands, spawn subagents, and manage git workflows autonomously.\\n\\n## Multi-Provider Backend (Claude Code Router)\\n\\nClaude Code can be run with non-Anthropic models via **claude-code-router** — a transparent proxy that routes Claude Code's API calls to any OpenAI-compatible endpoint (Ollama Cloud, DeepSeek, Gemini, OpenRouter, etc.). This gives you Claude Code's full agent harness (tool-use, subagents, plan mode, background tasks) powered by your own model stack with zero Anthropic API costs.\\n\\nSee `references/claude-code-router.md` for full installation, configuration, router setup, ZimaOS-specific workarounds, and a systemd service template.\\n\\nQuick start after installation:\\n```bash\\nccr code # Interactive Claude Code with your models\\nccr code -p \\\"Fix bug\\\" # Print mode (one-shot)\\n/ccr model # Dynamic model switching\\n```\\n\\n## Prerequisites\\n\\n- **Install:** `npm install -g @anthropic-ai/claude-code`\\n- **Auth:** run `claude` once to log in (browser OAuth for Pro/Max, or set `ANTHROPIC_API_KEY`)\\n- **Console auth:** `claude auth login --console` for API key billing\\n- **SSO auth:** `claude auth login --sso` for Enterprise\\n- **Check status:** `claude auth status` (JSON) or `claude auth status --text` (human-readable)\\n- **Health check:** `claude doctor` — checks auto-updater and installation health\\n- **Version check:** `claude --version` (requires v2.x+)\\n- **Update:** `claude update` or `claude upgrade`\\n\\n## Two Orchestration Modes\\n\\nHermes interacts with Claude Code in two fundamentally different ways. Choose based on the task.\\n\\n### Mode 1: Print Mode (`-p`) — Non-Interactive (PREFERRED for most tasks)\\n\\nPrint mode runs a one-shot task, returns the result, and exits. No PTY needed. No interactive prompts. This is the cleanest integration path.\\n\\n```\\nterminal(command=\\\"claude -p 'Add error handling to all API calls in src/' --allowedTools 'Read,Edit' --max-turns 10\\\", workdir=\\\"/path/to/project\\\", timeout=120)\\n```\\n\\n**When to use print mode:**\\n- One-shot coding tasks (fix a bug, add a feature, refactor)\\n- CI/CD automation and scripting\\n- Structured data extraction with `--json-schema`\\n- Piped input processing (`cat file | claude -p \\\"analyze this\\\"`)\\n- Any task where you don't need multi-turn conversation\\n\\n**Print mode skips ALL interactive dialogs** — no workspace trust prompt, no permission confirmations. This makes it ideal for automation.\\n\\n### Mode 2: Interactive PTY via tmux — Multi-Turn Sessions\\n\\nInteractive mode gives you a full conversational REPL where you can send follow-up prompts, use slash commands, and watch Claude work in real time. **Requires tmux orchestration.**\\n\\n```\\n# Start a tmux session\\nterminal(command=\\\"tmux new-session -d -s claude-work -x 140 -y 40\\\")\\n\\n# Launch Claude Code inside it\\nterminal(command=\\\"tmux send-keys -t claude-work 'cd /path/to/project && claude' Enter\\\")\\n\\n# Wait for startup, then send your task\\n# (after ~3-5 seconds for the welcome screen)\\nterminal(command=\\\"sleep 5 && tmux send-keys -t claude-work 'Refactor the auth module to use JWT tokens' Enter\\\")\\n\\n# Monitor progress by capturing the pane\\nterminal(command=\\\"sleep 15 && tmux capture-pane -t claude-work -p -S -50\\\")\\n\\n# Send follow-up tasks\\nterminal(command=\\\"tmux send-keys -t claude-work 'Now add unit tests for the new JWT code' Enter\\\")\\n\\n# Exit when done\\nterminal(command=\\\"tmux send-keys -t claude-work '/exit' Enter\\\")\\n```\\n\\n**When to use interactive mode:**\\n- Multi-turn iterative work (refactor → review → fix → test cycle)\\n- Tasks requiring human-in-the-loop decisions\\n- Exploratory coding sessions\\n- When you need to use Claude's slash commands (`/compact`, `/review`, `/model`)\\n\\n## PTY Dialog Handling (CRITICAL for Interactive Mode)\\n\\nClaude Code presents up to two confirmation dialogs on first launch. You MUST handle these via tmux send-keys:\\n\\n### Dialog 1: Workspace Trust (first visit to a directory)\\n```\\n❯ 1. Yes, I trust this folder ← DEFAULT (just press Enter)\\n 2. No, exit\\n```\\n**Handling:** `tmux send-keys -t Enter` — default selection is correct.\\n\\n### Dialog 2: Bypass Permissions Warning (only with --dangerously-skip-permissions)\\n```\\n❯ 1. No, exit ← DEFAULT (WRONG choice!)\\n 2. Yes, I accept\\n```\\n**Handling:** Must navigate DOWN first, then Enter:\\n```\\ntmux send-keys -t Down && sleep 0.3 && tmux send-keys -t Enter\\n```\\n\\n### Robust Dialog Handling Pattern\\n```\\n# Launch with permissions bypass\\nterminal(command=\\\"tmux send-keys -t claude-work 'claude --dangerously-skip-permissions \\\\\\\"your task\\\\\\\"' Enter\\\")\\n\\n# Handle trust dialog (Enter for default \\\"Yes\\\")\\nterminal(command=\\\"sleep 4 && tmux send-keys -t claude-work Enter\\\")\\n\\n# Handle permissions dialog (Down then Enter for \\\"Yes, I accept\\\")\\nterminal(command=\\\"sleep 3 && tmux send-keys -t claude-work Down && sleep 0.3 && tmux send-keys -t claude-work Enter\\\")\\n\\n# Now wait for Claude to work\\nterminal(command=\\\"sleep 15 && tmux capture-pane -t claude-work -p -S -60\\\")\\n```\\n\\n**Note:** After the first trust acceptance for a directory, the trust dialog won't appear again. Only the permissions dialog recurs each time you use `--dangerously-skip-permissions`.\\n\\n## CLI Subcommands\\n\\n| Subcommand | Purpose |\\n|------------|---------|\\n| `claude` | Start interactive REPL |\\n| `claude \\\"query\\\"` | Start REPL with initial prompt |\\n| `claude -p \\\"query\\\"` | Print mode (non-interactive, exits when done) |\\n| `cat file \\\\| claude -p \\\"query\\\"` | Pipe content as stdin context |\\n| `claude -c` | Continue the most recent conversation in this directory |\\n| `claude -r \\\"id\\\"` | Resume a specific session by ID or name |\\n| `claude auth login` | Sign in (add `--console` for API billing, `--sso` for Enterprise) |\\n| `claude auth status` | Check login status (returns JSON; `--text` for human-readable) |\\n| `claude mcp add -- ` | Add an MCP server |\\n| `claude mcp list` | List configured MCP servers |\\n| `claude mcp remove ` | Remove an MCP server |\\n| `claude agents` | List configured agents |\\n| `claude doctor` | Run health checks on installation and auto-updater |\\n| `claude update` / `claude upgrade` | Update Claude Code to latest version |\\n| `claude remote-control` | Start server to control Claude from claude.ai or mobile app |\\n| `claude install [target]` | Install native build (stable, latest, or specific version) |\\n| `claude setup-token` | Set up long-lived auth token (requires subscription) |\\n| `claude plugin` / `claude plugins` | Manage Claude Code plugins |\\n| `claude auto-mode` | Inspect auto mode classifier configuration |\\n\\n## Print Mode Deep Dive\\n\\n### Structured JSON Output\\n```\\nterminal(command=\\\"claude -p 'Analyze auth.py for security issues' --output-format json --max-turns 5\\\", workdir=\\\"/project\\\", timeout=120)\\n```\\n\\nReturns a JSON object with:\\n```json\\n{\\n \\\"type\\\": \\\"result\\\",\\n \\\"subtype\\\": \\\"success\\\",\\n \\\"result\\\": \\\"The analysis text...\\\",\\n \\\"session_id\\\": \\\"75e2167f-...\\\",\\n \\\"num_turns\\\": 3,\\n \\\"total_cost_usd\\\": 0.0787,\\n \\\"duration_ms\\\": 10276,\\n \\\"stop_reason\\\": \\\"end_turn\\\",\\n \\\"terminal_reason\\\": \\\"completed\\\",\\n \\\"usage\\\": { \\\"input_tokens\\\": 5, \\\"output_tokens\\\": 603, ... },\\n \\\"modelUsage\\\": { \\\"claude-sonnet-4-6\\\": { \\\"costUSD\\\": 0.078, \\\"contextWindow\\\": 200000 } }\\n}\\n```\\n\\n**Key fields:** `session_id` for resumption, `num_turns` for agentic loop count, `total_cost_usd` for spend tracking, `subtype` for success/error detection (`success`, `error_max_turns`, `error_budget`).\\n\\n### Streaming JSON Output\\nFor real-time token streaming, use `stream-json` with `--verbose`:\\n```\\nterminal(command=\\\"claude -p 'Write a summary' --output-format stream-json --verbose --include-partial-messages\\\", timeout=60)\\n```\\n\\nReturns newline-delimited JSON events. Filter with jq for live text:\\n```\\nclaude -p \\\"Explain X\\\" --output-format stream-json --verbose --include-partial-messages | \\\\\\n jq -rj 'select(.type == \\\"stream_event\\\" and .event.delta.type? == \\\"text_delta\\\") | .event.delta.text'\\n```\\n\\nStream events include `system/api_retry` with `attempt`, `max_retries`, and `error` fields (e.g., `rate_limit`, `billing_error`).\\n\\n### Bidirectional Streaming\\nFor real-time input AND output streaming:\\n```\\nclaude -p \\\"task\\\" --input-format stream-json --output-format stream-json --replay-user-messages\\n```\\n`--replay-user-messages` re-emits user messages on stdout for acknowledgment.\\n\\n### Piped Input\\n```\\n# Pipe a file for analysis\\nterminal(command=\\\"cat src/auth.py | claude -p 'Review this code for bugs' --max-turns 1\\\", timeout=60)\\n\\n# Pipe multiple files\\nterminal(command=\\\"cat src/*.py | claude -p 'Find all TODO comments' --max-turns 1\\\", timeout=60)\\n\\n# Pipe command output\\nterminal(command=\\\"git diff HEAD~3 | claude -p 'Summarize these changes' --max-turns 1\\\", timeout=60)\\n```\\n\\n### JSON Schema for Structured Extraction\\n```\\nterminal(command=\\\"claude -p 'List all functions in src/' --output-format json --json-schema '{\\\\\\\"type\\\\\\\":\\\\\\\"object\\\\\\\",\\\\\\\"properties\\\\\\\":{\\\\\\\"functions\\\\\\\":{\\\\\\\"type\\\\\\\":\\\\\\\"array\\\\\\\",\\\\\\\"items\\\\\\\":{\\\\\\\"type\\\\\\\":\\\\\\\"string\\\\\\\"}}},\\\\\\\"required\\\\\\\":[\\\\\\\"functions\\\\\\\"]}' --max-turns 5\\\", workdir=\\\"/project\\\", timeout=90)\\n```\\n\\nParse `structured_output` from the JSON result. Claude validates output against the schema before returning.\\n\\n### Session Continuation\\n```\\n# Start a task\\nterminal(command=\\\"claude -p 'Start refactoring the database layer' --output-format json --max-turns 10 > /tmp/session.json\\\", workdir=\\\"/project\\\", timeout=180)\\n\\n# Resume with session ID\\nterminal(command=\\\"claude -p 'Continue and add connection pooling' --resume $(cat /tmp/session.json | python3 -c 'import json,sys; print(json.load(sys.stdin)[\\\\\\\"session_id\\\\\\\"])') --max-turns 5\\\", workdir=\\\"/project\\\", timeout=120)\\n\\n# Or resume the most recent session in the same directory\\nterminal(command=\\\"claude -p 'What did you do last time?' --continue --max-turns 1\\\", workdir=\\\"/project\\\", timeout=30)\\n\\n# Fork a session (new ID, keeps history)\\nterminal(command=\\\"claude -p 'Try a different approach' --resume --fork-session --max-turns 10\\\", workdir=\\\"/project\\\", timeout=120)\\n```\\n\\n### Bare Mode for CI/Scripting\\n```\\nterminal(command=\\\"claude --bare -p 'Run all tests and report failures' --allowedTools 'Read,Bash' --max-turns 10\\\", workdir=\\\"/project\\\", timeout=180)\\n```\\n\\n`--bare` skips hooks, plugins, MCP discovery, and CLAUDE.md loading. Fastest startup. Requires `ANTHROPIC_API_KEY` (skips OAuth).\\n\\nTo selectively load context in bare mode:\\n| To load | Flag |\\n|---------|------|\\n| System prompt additions | `--append-system-prompt \\\"text\\\"` or `--append-system-prompt-file path` |\\n| Settings | `--settings ` |\\n| MCP servers | `--mcp-config ` |\\n| Custom agents | `--agents ''` |\\n\\n### Fallback Model for Overload\\n```\\nterminal(command=\\\"claude -p 'task' --fallback-model haiku --max-turns 5\\\", timeout=90)\\n```\\nAutomatically falls back to the specified model when the default is overloaded (print mode only).\\n\\n## Complete CLI Flags Reference\\n\\n### Session & Environment\\n| Flag | Effect |\\n|------|--------|\\n| `-p, --print` | Non-interactive one-shot mode (exits when done) |\\n| `-c, --continue` | Resume most recent conversation in current directory |\\n| `-r, --resume ` | Resume specific session by ID or name (interactive picker if no ID) |\\n| `--fork-session` | When resuming, create new session ID instead of reusing original |\\n| `--session-id ` | Use a specific UUID for the conversation |\\n| `--no-session-persistence` | Don't save session to disk (print mode only) |\\n| `--add-dir ` | Grant Claude access to additional working directories |\\n| `-w, --worktree [name]` | Run in an isolated git worktree at `.claude/worktrees/` |\\n| `--tmux` | Create a tmux session for the worktree (requires `--worktree`) |\\n| `--ide` | Auto-connect to a valid IDE on startup |\\n| `--chrome` / `--no-chrome` | Enable/disable Chrome browser integration for web testing |\\n| `--from-pr [number]` | Resume session linked to a specific GitHub PR |\\n| `--file ` | File resources to download at startup (format: `file_id:relative_path`) |\\n\\n### Model & Performance\\n| Flag | Effect |\\n|------|--------|\\n| `--model ` | Model selection: `sonnet`, `opus`, `haiku`, or full name like `claude-sonnet-4-6` |\\n| `--effort ` | Reasoning depth: `low`, `medium`, `high`, `max`, `auto` | Both |\\n| `--max-turns ` | Limit agentic loops (print mode only; prevents runaway) |\\n| `--max-budget-usd ` | Cap API spend in dollars (print mode only) |\\n| `--fallback-model ` | Auto-fallback when default model is overloaded (print mode only) |\\n| `--betas ` | Beta headers to include in API requests (API key users only) |\\n\\n### Permission & Safety\\n| Flag | Effect |\\n|------|--------|\\n| `--dangerously-skip-permissions` | Auto-approve ALL tool use (file writes, bash, network, etc.) |\\n| `--allow-dangerously-skip-permissions` | Enable bypass as an *option* without enabling it by default |\\n| `--permission-mode ` | `default`, `acceptEdits`, `plan`, `auto`, `dontAsk`, `bypassPermissions` |\\n| `--allowedTools ` | Whitelist specific tools (comma or space-separated) |\\n| `--disallowedTools ` | Blacklist specific tools |\\n| `--tools ` | Override built-in tool set (`\\\"\\\"` = none, `\\\"default\\\"` = all, or tool names) |\\n\\n### Output & Input Format\\n| Flag | Effect |\\n|------|--------|\\n| `--output-format ` | `text` (default), `json` (single result object), `stream-json` (newline-delimited) |\\n| `--input-format ` | `text` (default) or `stream-json` (real-time streaming input) |\\n| `--json-schema ` | Force structured JSON output matching a schema |\\n| `--verbose` | Full turn-by-turn output |\\n| `--include-partial-messages` | Include partial message chunks as they arrive (stream-json + print) |\\n| `--replay-user-messages` | Re-emit user messages on stdout (stream-json bidirectional) |\\n\\n### System Prompt & Context\\n| Flag | Effect |\\n|------|--------|\\n| `--append-system-prompt ` | **Add** to the default system prompt (preserves built-in capabilities) |\\n| `--append-system-prompt-file ` | **Add** file contents to the default system prompt |\\n| `--system-prompt ` | **Replace** the entire system prompt (use --append instead usually) |\\n| `--system-prompt-file ` | **Replace** the system prompt with file contents |\\n| `--bare` | Skip hooks, plugins, MCP discovery, CLAUDE.md, OAuth (fastest startup) |\\n| `--agents ''` | Define custom subagents dynamically as JSON |\\n| `--mcp-config ` | Load MCP servers from JSON file (repeatable) |\\n| `--strict-mcp-config` | Only use MCP servers from `--mcp-config`, ignoring all other MCP configs |\\n| `--settings ` | Load additional settings from a JSON file or inline JSON |\\n| `--setting-sources ` | Comma-separated sources to load: `user`, `project`, `local` |\\n| `--plugin-dir ` | Load plugins from directories for this session only |\\n| `--disable-slash-commands` | Disable all skills/slash commands |\\n\\n### Debugging\\n| Flag | Effect |\\n|------|--------|\\n| `-d, --debug [filter]` | Enable debug logging with optional category filter (e.g., `\\\"api,hooks\\\"`, `\\\"!1p,!file\\\"`) |\\n| `--debug-file ` | Write debug logs to file (implicitly enables debug mode) |\\n\\n### Agent Teams\\n| Flag | Effect |\\n|------|--------|\\n| `--teammate-mode ` | How agent teams display: `auto`, `in-process`, or `tmux` |\\n| `--brief` | Enable `SendUserMessage` tool for agent-to-user communication |\\n\\n### Tool Name Syntax for --allowedTools / --disallowedTools\\n```\\nRead # All file reading\\nEdit # File editing (existing files)\\nWrite # File creation (new files)\\nBash # All shell commands\\nBash(git *) # Only git commands\\nBash(git commit *) # Only git commit commands\\nBash(npm run lint:*) # Pattern matching with wildcards\\nWebSearch # Web search capability\\nWebFetch # Web page fetching\\nmcp____ # Specific MCP tool\\n```\\n\\n## Settings & Configuration\\n\\n### Settings Hierarchy (highest to lowest priority)\\n1. **CLI flags** — override everything\\n2. **Local project:** `.claude/settings.local.json` (personal, gitignored)\\n3. **Project:** `.claude/settings.json` (shared, git-tracked)\\n4. **User:** `~/.claude/settings.json` (global)\\n\\n### Permissions in Settings\\n```json\\n{\\n \\\"permissions\\\": {\\n \\\"allow\\\": [\\\"Bash(npm run lint:*)\\\", \\\"WebSearch\\\", \\\"Read\\\"],\\n \\\"ask\\\": [\\\"Write(*.ts)\\\", \\\"Bash(git push*)\\\"],\\n \\\"deny\\\": [\\\"Read(.env)\\\", \\\"Bash(rm -rf *)\\\"]\\n }\\n}\\n```\\n\\n### Memory Files (CLAUDE.md) Hierarchy\\n1. **Global:** `~/.claude/CLAUDE.md` — applies to all projects\\n2. **Project:** `./CLAUDE.md` — project-specific context (git-tracked)\\n3. **Local:** `.claude/CLAUDE.local.md` — personal project overrides (gitignored)\\n\\nUse the `#` prefix in interactive mode to quickly add to memory: `# Always use 2-space indentation`.\\n\\n## Interactive Session: Slash Commands\\n\\n### Session & Context\\n| Command | Purpose |\\n|---------|---------|\\n| `/help` | Show all commands (including custom and MCP commands) |\\n| `/compact [focus]` | Compress context to save tokens; CLAUDE.md survives compaction. E.g., `/compact focus on auth logic` |\\n| `/clear` | Wipe conversation history for a fresh start |\\n| `/context` | Visualize context usage as a colored grid with optimization tips |\\n| `/cost` | View token usage with per-model and cache-hit breakdowns |\\n| `/resume` | Switch to or resume a different session |\\n| `/rewind` | Revert to a previous checkpoint in conversation or code |\\n| `/btw ` | Ask a side question without adding to context cost |\\n| `/status` | Show version, connectivity, and session info |\\n| `/todos` | List tracked action items from the conversation |\\n| `/exit` or `Ctrl+D` | End session |\\n\\n### Development & Review\\n| Command | Purpose |\\n|---------|---------|\\n| `/review` | Request code review of current changes |\\n| `/security-review` | Perform security analysis of current changes |\\n| `/plan [description]` | Enter Plan mode with auto-start for task planning |\\n| `/loop [interval]` | Schedule recurring tasks within the session |\\n| `/batch` | Auto-create worktrees for large parallel changes (5-30 worktrees) |\\n\\n### Configuration & Tools\\n| Command | Purpose |\\n|---------|---------|\\n| `/model [model]` | Switch models mid-session (use arrow keys to adjust effort) |\\n| `/effort [level]` | Set reasoning effort: `low`, `medium`, `high`, `max`, or `auto` |\\n| `/init` | Create a CLAUDE.md file for project memory |\\n| `/memory` | Open CLAUDE.md for editing |\\n| `/config` | Open interactive settings configuration |\\n| `/permissions` | View/update tool permissions |\\n| `/agents` | Manage specialized subagents |\\n| `/mcp` | Interactive UI to manage MCP servers |\\n| `/add-dir` | Add additional working directories (useful for monorepos) |\\n| `/usage` | Show plan limits and rate limit status |\\n| `/voice` | Enable push-to-talk voice mode (20 languages; hold Space to record, release to send) |\\n| `/release-notes` | Interactive picker for version release notes |\\n\\n### Custom Slash Commands\\nCreate `.claude/commands/.md` (project-shared) or `~/.claude/commands/.md` (personal):\\n\\n```markdown\\n# .claude/commands/deploy.md\\nRun the deploy pipeline:\\n1. Run all tests\\n2. Build the Docker image\\n3. Push to registry\\n4. Update the $ARGUMENTS environment (default: staging)\\n```\\n\\nUsage: `/deploy production` — `$ARGUMENTS` is replaced with the user's input.\\n\\n### Skills (Natural Language Invocation)\\nUnlike slash commands (manually invoked), skills in `.claude/skills/` are markdown guides that Claude invokes automatically via natural language when the task matches:\\n\\n```markdown\\n# .claude/skills/database-migration.md\\nWhen asked to create or modify database migrations:\\n1. Use Alembic for migration generation\\n2. Always create a rollback function\\n3. Test migrations against a local database copy\\n```\\n\\n## Interactive Session: Keyboard Shortcuts\\n\\n### General Controls\\n| Key | Action |\\n|-----|--------|\\n| `Ctrl+C` | Cancel current input or generation |\\n| `Ctrl+D` | Exit session |\\n| `Ctrl+R` | Reverse search command history |\\n| `Ctrl+B` | Background a running task |\\n| `Ctrl+V` | Paste image into conversation |\\n| `Ctrl+O` | Transcript mode — see Claude's thinking process |\\n| `Ctrl+G` or `Ctrl+X Ctrl+E` | Open prompt in external editor |\\n| `Esc Esc` | Rewind conversation or code state / summarize |\\n\\n### Mode Toggles\\n| Key | Action |\\n|-----|--------|\\n| `Shift+Tab` | Cycle permission modes (Normal → Auto-Accept → Plan) |\\n| `Alt+P` | Switch model |\\n| `Alt+T` | Toggle thinking mode |\\n| `Alt+O` | Toggle Fast Mode |\\n\\n### Multiline Input\\n| Key | Action |\\n|-----|--------|\\n| `\\\\` + `Enter` | Quick newline |\\n| `Shift+Enter` | Newline (alternative) |\\n| `Ctrl+J` | Newline (alternative) |\\n\\n### Input Prefixes\\n| Prefix | Action |\\n|--------|--------|\\n| `!` | Execute bash directly, bypassing AI (e.g., `!npm test`). Use `!` alone to toggle shell mode. |\\n| `@` | Reference files/directories with autocomplete (e.g., `@./src/api/`) |\\n| `#` | Quick add to CLAUDE.md memory (e.g., `# Use 2-space indentation`) |\\n| `/` | Slash commands |\\n\\n### Pro Tip: \\\"ultrathink\\\"\\nUse the keyword \\\"ultrathink\\\" in your prompt for maximum reasoning effort on a specific turn. This triggers the deepest thinking mode regardless of the current `/effort` setting.\\n\\n## PR Review Pattern\\n\\n### Quick Review (Print Mode)\\n```\\nterminal(command=\\\"cd /path/to/repo && git diff main...feature-branch | claude -p 'Review this diff for bugs, security issues, and style problems. Be thorough.' --max-turns 1\\\", timeout=60)\\n```\\n\\n### Deep Review (Interactive + Worktree)\\n```\\nterminal(command=\\\"tmux new-session -d -s review -x 140 -y 40\\\")\\nterminal(command=\\\"tmux send-keys -t review 'cd /path/to/repo && claude -w pr-review' Enter\\\")\\nterminal(command=\\\"sleep 5 && tmux send-keys -t review Enter\\\") # Trust dialog\\nterminal(command=\\\"sleep 2 && tmux send-keys -t review 'Review all changes vs main. Check for bugs, security issues, race conditions, and missing tests.' Enter\\\")\\nterminal(command=\\\"sleep 30 && tmux capture-pane -t review -p -S -60\\\")\\n```\\n\\n### PR Review from Number\\n```\\nterminal(command=\\\"claude -p 'Review this PR thoroughly' --from-pr 42 --max-turns 10\\\", workdir=\\\"/path/to/repo\\\", timeout=120)\\n```\\n\\n### Claude Worktree with tmux\\n```\\nterminal(command=\\\"claude -w feature-x --tmux\\\", workdir=\\\"/path/to/repo\\\")\\n```\\nCreates an isolated git worktree at `.claude/worktrees/feature-x` AND a tmux session for it. Uses iTerm2 native panes when available; add `--tmux=classic` for traditional tmux.\\n\\n## Parallel Claude Instances\\n\\nRun multiple independent Claude tasks simultaneously:\\n\\n```\\n# Task 1: Fix backend\\nterminal(command=\\\"tmux new-session -d -s task1 -x 140 -y 40 && tmux send-keys -t task1 'cd ~/project && claude -p \\\\\\\"Fix the auth bug in src/auth.py\\\\\\\" --allowedTools \\\\\\\"Read,Edit\\\\\\\" --max-turns 10' Enter\\\")\\n\\n# Task 2: Write tests\\nterminal(command=\\\"tmux new-session -d -s task2 -x 140 -y 40 && tmux send-keys -t task2 'cd ~/project && claude -p \\\\\\\"Write integration tests for the API endpoints\\\\\\\" --allowedTools \\\\\\\"Read,Write,Bash\\\\\\\" --max-turns 15' Enter\\\")\\n\\n# Task 3: Update docs\\nterminal(command=\\\"tmux new-session -d -s task3 -x 140 -y 40 && tmux send-keys -t task3 'cd ~/project && claude -p \\\\\\\"Update README.md with the new API endpoints\\\\\\\" --allowedTools \\\\\\\"Read,Edit\\\\\\\" --max-turns 5' Enter\\\")\\n\\n# Monitor all\\nterminal(command=\\\"sleep 30 && for s in task1 task2 task3; do echo '=== '$s' ==='; tmux capture-pane -t $s -p -S -5 2>/dev/null; done\\\")\\n```\\n\\n## CLAUDE.md — Project Context File\\n\\nClaude Code auto-loads `CLAUDE.md` from the project root. Use it to persist project context:\\n\\n```markdown\\n# Project: My API\\n\\n## Architecture\\n- FastAPI backend with SQLAlchemy ORM\\n- PostgreSQL database, Redis cache\\n- pytest for testing with 90% coverage target\\n\\n## Key Commands\\n- `make test` — run full test suite\\n- `make lint` — ruff + mypy\\n- `make dev` — start dev server on :8000\\n\\n## Code Standards\\n- Type hints on all public functions\\n- Docstrings in Google style\\n- 2-space indentation for YAML, 4-space for Python\\n- No wildcard imports\\n```\\n\\n**Be specific.** Instead of \\\"Write good code\\\", use \\\"Use 2-space indentation for JS\\\" or \\\"Name test files with `.test.ts` suffix.\\\" Specific instructions save correction cycles.\\n\\n### Rules Directory (Modular CLAUDE.md)\\nFor projects with many rules, use the rules directory instead of one massive CLAUDE.md:\\n- **Project rules:** `.claude/rules/*.md` — team-shared, git-tracked\\n- **User rules:** `~/.claude/rules/*.md` — personal, global\\n\\nEach `.md` file in the rules directory is loaded as additional context. This is cleaner than cramming everything into a single CLAUDE.md.\\n\\n### Auto-Memory\\nClaude automatically stores learned project context in `~/.claude/projects//memory/`.\\n- **Limit:** 25KB or 200 lines per project\\n- This is separate from CLAUDE.md — it's Claude's own notes about the project, accumulated across sessions\\n\\n## Custom Subagents\\n\\nDefine specialized agents in `.claude/agents/` (project), `~/.claude/agents/` (personal), or via `--agents` CLI flag (session):\\n\\n### Agent Location Priority\\n1. `.claude/agents/` — project-level, team-shared\\n2. `--agents` CLI flag — session-specific, dynamic\\n3. `~/.claude/agents/` — user-level, personal\\n\\n### Creating an Agent\\n```markdown\\n# .claude/agents/security-reviewer.md\\n---\\nname: security-reviewer\\ndescription: Security-focused code review\\nmodel: opus\\ntools: [Read, Bash]\\n---\\nYou are a senior security engineer. Review code for:\\n- Injection vulnerabilities (SQL, XSS, command injection)\\n- Authentication/authorization flaws\\n- Secrets in code\\n- Unsafe deserialization\\n```\\n\\nInvoke via: `@security-reviewer review the auth module`\\n\\n### Dynamic Agents via CLI\\n```\\nterminal(command=\\\"claude --agents '{\\\\\\\"reviewer\\\\\\\": {\\\\\\\"description\\\\\\\": \\\\\\\"Reviews code\\\\\\\", \\\\\\\"prompt\\\\\\\": \\\\\\\"You are a code reviewer focused on performance\\\\\\\"}}' -p 'Use @reviewer to check auth.py'\\\", timeout=120)\\n```\\n\\nClaude can orchestrate multiple agents: \\\"Use @db-expert to optimize queries, then @security to audit the changes.\\\"\\n\\n## Hooks — Automation on Events\\n\\nConfigure in `.claude/settings.json` (project) or `~/.claude/settings.json` (global):\\n\\n```json\\n{\\n \\\"hooks\\\": {\\n \\\"PostToolUse\\\": [{\\n \\\"matcher\\\": \\\"Write(*.py)\\\",\\n \\\"hooks\\\": [{\\\"type\\\": \\\"command\\\", \\\"command\\\": \\\"ruff check --fix $CLAUDE_FILE_PATHS\\\"}]\\n }],\\n \\\"PreToolUse\\\": [{\\n \\\"matcher\\\": \\\"Bash\\\",\\n \\\"hooks\\\": [{\\\"type\\\": \\\"command\\\", \\\"command\\\": \\\"if echo \\\\\\\"$CLAUDE_TOOL_INPUT\\\\\\\" | grep -q 'rm -rf'; then echo 'Blocked!' && exit 2; fi\\\"}]\\n }],\\n \\\"Stop\\\": [{\\n \\\"hooks\\\": [{\\\"type\\\": \\\"command\\\", \\\"command\\\": \\\"echo 'Claude finished a response' >> /tmp/claude-activity.log\\\"}]\\n }]\\n }\\n}\\n```\\n\\n### All 8 Hook Types\\n| Hook | When it fires | Common use |\\n|------|--------------|------------|\\n| `UserPromptSubmit` | Before Claude processes a user prompt | Input validation, logging |\\n| `PreToolUse` | Before tool execution | Security gates, block dangerous commands (exit 2 = block) |\\n| `PostToolUse` | After a tool finishes | Auto-format code, run linters |\\n| `Notification` | On permission requests or input waits | Desktop notifications, alerts |\\n| `Stop` | When Claude finishes a response | Completion logging, status updates |\\n| `SubagentStop` | When a subagent completes | Agent orchestration |\\n| `PreCompact` | Before context memory is cleared | Backup session transcripts |\\n| `SessionStart` | When a session begins | Load dev context (e.g., `git status`) |\\n\\n### Hook Environment Variables\\n| Variable | Content |\\n|----------|---------|\\n| `CLAUDE_PROJECT_DIR` | Current project path |\\n| `CLAUDE_FILE_PATHS` | Files being modified |\\n| `CLAUDE_TOOL_INPUT` | Tool parameters as JSON |\\n\\n### Security Hook Examples\\n```json\\n{\\n \\\"PreToolUse\\\": [{\\n \\\"matcher\\\": \\\"Bash\\\",\\n \\\"hooks\\\": [{\\\"type\\\": \\\"command\\\", \\\"command\\\": \\\"if echo \\\\\\\"$CLAUDE_TOOL_INPUT\\\\\\\" | grep -qE 'rm -rf|git push.*--force|:(){ :|:& };:'; then echo 'Dangerous command blocked!' && exit 2; fi\\\"}]\\n }]\\n}\\n```\\n\\n## MCP Integration\\n\\nAdd external tool servers for databases, APIs, and services:\\n\\n```\\n# GitHub integration\\nterminal(command=\\\"claude mcp add -s user github -- npx @modelcontextprotocol/server-github\\\", timeout=30)\\n\\n# PostgreSQL queries\\nterminal(command=\\\"claude mcp add -s local postgres -- npx @anthropic-ai/server-postgres --connection-string postgresql://localhost/mydb\\\", timeout=30)\\n\\n# Puppeteer for web testing\\nterminal(command=\\\"claude mcp add puppeteer -- npx @anthropic-ai/server-puppeteer\\\", timeout=30)\\n```\\n\\n### MCP Scopes\\n| Flag | Scope | Storage |\\n|------|-------|---------|\\n| `-s user` | Global (all projects) | `~/.claude.json` |\\n| `-s local` | This project (personal) | `.claude/settings.local.json` (gitignored) |\\n| `-s project` | This project (team-shared) | `.claude/settings.json` (git-tracked) |\\n\\n### MCP in Print/CI Mode\\n```\\nterminal(command=\\\"claude --bare -p 'Query database' --mcp-config mcp-servers.json --strict-mcp-config\\\", timeout=60)\\n```\\n`--strict-mcp-config` ignores all MCP servers except those from `--mcp-config`.\\n\\nReference MCP resources in chat: `@github:issue://123`\\n\\n### MCP Limits & Tuning\\n- **Tool descriptions:** 2KB cap per server for tool descriptions and server instructions\\n- **Result size:** Default capped; use `maxResultSizeChars` annotation to allow up to **500K** characters for large outputs\\n- **Output tokens:** `export MAX_MCP_OUTPUT_TOKENS=50000` — cap output from MCP servers to prevent context flooding\\n- **Transports:** `stdio` (local process), `http` (remote), `sse` (server-sent events)\\n\\n## Monitoring Interactive Sessions\\n\\n### Reading the TUI Status\\n```\\n# Periodic capture to check if Claude is still working or waiting for input\\nterminal(command=\\\"tmux capture-pane -t dev -p -S -10\\\")\\n```\\n\\nLook for these indicators:\\n- `❯` at bottom = waiting for your input (Claude is done or asking a question)\\n- `●` lines = Claude is actively using tools (reading, writing, running commands)\\n- `⏵⏵ bypass permissions on` = status bar showing permissions mode\\n- `◐ medium · /effort` = current effort level in status bar\\n- `ctrl+o to expand` = tool output was truncated (can be expanded interactively)\\n\\n### Context Window Health\\nUse `/context` in interactive mode to see a colored grid of context usage. Key thresholds:\\n- **< 70%** — Normal operation, full precision\\n- **70-85%** — Precision starts dropping, consider `/compact`\\n- **> 85%** — Hallucination risk spikes significantly, use `/compact` or `/clear`\\n\\n## Environment Variables\\n\\n| Variable | Effect |\\n|----------|--------|\\n| `ANTHROPIC_API_KEY` | API key for authentication (alternative to OAuth) |\\n| `CLAUDE_CODE_EFFORT_LEVEL` | Default effort: `low`, `medium`, `high`, `max`, or `auto` |\\n| `MAX_THINKING_TOKENS` | Cap thinking tokens (set to `0` to disable thinking entirely) |\\n| `MAX_MCP_OUTPUT_TOKENS` | Cap output from MCP servers (default varies; set e.g., `50000`) |\\n| `CLAUDE_CODE_NO_FLICKER=1` | Enable alt-screen rendering to eliminate terminal flicker |\\n| `CLAUDE_CODE_SUBPROCESS_ENV_SCRUB` | Strip credentials from sub-processes for security |\\n\\n## Cost & Performance Tips\\n\\n1. **Use `--max-turns`** in print mode to prevent runaway loops. Start with 5-10 for most tasks.\\n2. **Use `--max-budget-usd`** for cost caps. Note: minimum ~$0.05 for system prompt cache creation.\\n3. **Use `--effort low`** for simple tasks (faster, cheaper). `high` or `max` for complex reasoning.\\n4. **Use `--bare`** for CI/scripting to skip plugin/hook discovery overhead.\\n5. **Use `--allowedTools`** to restrict to only what's needed (e.g., `Read` only for reviews).\\n6. **Use `/compact`** in interactive sessions when context gets large.\\n7. **Pipe input** instead of having Claude read files when you just need analysis of known content.\\n8. **Use `--model haiku`** for simple tasks (cheaper) and `--model opus` for complex multi-step work.\\n9. **Use `--fallback-model haiku`** in print mode to gracefully handle model overload.\\n10. **Start new sessions for distinct tasks** — sessions last 5 hours; fresh context is more efficient.\\n11. **Use `--no-session-persistence`** in CI to avoid accumulating saved sessions on disk.\\n\\n## Pitfalls & Gotchas\\n\\n1. **Interactive mode REQUIRES tmux** — Claude Code is a full TUI app. Using `pty=true` alone in Hermes terminal works but tmux gives you `capture-pane` for monitoring and `send-keys` for input, which is essential for orchestration.\\n2. **`--dangerously-skip-permissions` dialog defaults to \\\"No, exit\\\"** — you must send Down then Enter to accept. Print mode (`-p`) skips this entirely.\\n3. **`--max-budget-usd` minimum is ~$0.05** — system prompt cache creation alone costs this much. Setting lower will error immediately.\\n4. **`--max-turns` is print-mode only** — ignored in interactive sessions.\\n5. **Claude may use `python` instead of `python3`** — on systems without a `python` symlink, Claude's bash commands will fail on first try but it self-corrects.\\n6. **Session resumption requires same directory** — `--continue` finds the most recent session for the current working directory.\\n7. **`--json-schema` needs enough `--max-turns`** — Claude must read files before producing structured output, which takes multiple turns.\\n8. **Trust dialog only appears once per directory** — first-time only, then cached.\\n9. **Background tmux sessions persist** — always clean up with `tmux kill-session -t ` when done.\\n10. **Slash commands (like `/commit`) only work in interactive mode** — in `-p` mode, describe the task in natural language instead.\\n11. **`--bare` skips OAuth** — requires `ANTHROPIC_API_KEY` env var or an `apiKeyHelper` in settings.\\n12. **Context degradation is real** — AI output quality measurably degrades above 70% context window usage. Monitor with `/context` and proactively `/compact`.\\n13. **External files in print mode need `--add-dir` + `--permission-mode bypassPermissions`** — even in non-interactive `-p` mode, Claude Code prompts for permission when accessing files outside the current working directory. Combine both flags for truly headless operation on external paths. `--add-dir` alone isn't enough; `--permission-mode bypassPermissions` alone doesn't grant directory access. Example: `ccr code --add-dir /path/to/project --permission-mode bypassPermissions -p \\\"Analyze the code\\\"`\\n14. **Through CCR, use `ccr code` not raw `claude`** — raw `claude` with `ANTHROPIC_BASE_URL` env var will trigger OAuth login checks (\\\"Not logged in. Please run /login\\\"). Always use `ccr code` to launch Claude Code through the router.\\n15. **Headless/background runs need `TERM=dumb` + stdin redirect** — without `TERM=dumb`, tput errors (\\\"No value for $TERM and no -T specified\\\") pollute output. Without `< /dev/null`, Claude Code waits for stdin and warns \\\"no stdin data received.\\\" Always use: `TERM=dumb ccr code -p \\\"task\\\" < /dev/null`.\\n16. **`delegate_task` can't find `claude` on ZimaOS** — the Hermes subprocess inherits system PATH, not `/DATA/.local/npm-global/bin/`. Use `terminal` directly with explicit PATH export + `HOME=/DATA/.local`, or symlink binaries into `/usr/bin/`.\\n\\n## Rules for Hermes Agents\\n\\n1. **Prefer print mode (`-p`) for single tasks** — cleaner, no dialog handling, structured output\\n2. **Use tmux for multi-turn interactive work** — the only reliable way to orchestrate the TUI\\n3. **Always set `workdir`** — keep Claude focused on the right project directory\\n4. **Set `--max-turns` in print mode** — prevents infinite loops and runaway costs\\n5. **Monitor tmux sessions** — use `tmux capture-pane -t -p -S -50` to check progress\\n6. **Look for the `❯` prompt** — indicates Claude is waiting for input (done or asking a question)\\n7. **Clean up tmux sessions** — kill them when done to avoid resource leaks\\n8. **Report results to user** — after completion, summarize what Claude did and what changed\\n9. **Don't kill slow sessions** — Claude may be doing multi-step work; check progress instead\\n10. **Use `--allowedTools`** — restrict capabilities to what the task actually needs\\n\", \"path\": \"autonomous-ai-agents/claude-code/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/autonomous-ai-agents/claude-code\", \"linked_files\": {\"references\": [\"references/claude-code-router.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"Coding-Agent\", \"Claude\", \"Anthropic\", \"Code-Review\", \"Refactoring\", \"PTY\", \"Automation\"], \"related_skills\": [\"hermes-agent\", \"opencode\"]}}}", "tool_call_id": "call_k4ism6dl" }, { "role": "assistant", "content": "Der Backend-Code (main.py) steht schon. Jetzt geb ich den Rest an Claude Code — Frontend, Dockerfile, Icon, Build und Deployment.", "reasoning": "The user wants me to build the CallKeep app using Claude Code. I see they already have the project set up at /media/HDD_1TB/CallKeep/ with main.py written. Now they want me to use `claude-code` to finish building it. Let me check: have I built the Dockerfile, the frontend/index.html, and the icon.svg yet? Only main.py is done.\n\nActually, looking more carefully at the project - the main.py is already written (backend complete). Now I need to use Claude Code to build:\n1. The Dockerfile\n2. The frontend/index.html (full SPA UI)\n3. The icon.svg\n4. Build the Docker image\n5. Deploy as container\n\nThe user said \"Mach es mit Claude Code harness\" - meaning use Claude Code to handle this. Let me check if Claude Code is available via the router (ccr code) on this system.\n\nFirst, let me check if ccr is available, then I'll spawn Claude Code to handle the implementation.\n\nActually, looking at the skill more carefully, I should use print mode (`-p`) since this is a one-shot task. But the task is quite complex - writing a full frontend, Dockerfile, and deploying. \n\nLet me think about whether this is better as print mode or interactive mode. The frontend is a big single file - probably best to write it as a file directly rather than through Claude Code's tool calls. But the user explicitly asked for Claude Code.\n\nLet me check if claude-code-router (ccr) is available on the system, then use it to build the remaining pieces.\n\nWait - the skill mentions using `ccr code` not raw `claude`. Let me check if that's installed. Also, I need to use `TERM=dumb` and `< /dev/null` for headless operation.\n\nLet me first verify ccr is available, then construct a comprehensive prompt for Claude Code to finish the entire app.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to build the CallKeep app using Claude Code. I see they already have the project set up at /media/HDD_1TB/CallKeep/ with main.py written. Now they want me to use `claude-code` to finish building it. Let me check: have I built the Dockerfile, the frontend/index.html, and the icon.svg yet? Only main.py is done.\n\nActually, looking more carefully at the project - the main.py is already written (backend complete). Now I need to use Claude Code to build:\n1. The Dockerfile\n2. The frontend/index.html (full SPA UI)\n3. The icon.svg\n4. Build the Docker image\n5. Deploy as container\n\nThe user said \"Mach es mit Claude Code harness\" - meaning use Claude Code to handle this. Let me check if Claude Code is available via the router (ccr code) on this system.\n\nFirst, let me check if ccr is available, then I'll spawn Claude Code to handle the implementation.\n\nActually, looking at the skill more carefully, I should use print mode (`-p`) since this is a one-shot task. But the task is quite complex - writing a full frontend, Dockerfile, and deploying. \n\nLet me think about whether this is better as print mode or interactive mode. The frontend is a big single file - probably best to write it as a file directly rather than through Claude Code's tool calls. But the user explicitly asked for Claude Code.\n\nLet me check if claude-code-router (ccr) is available on the system, then use it to build the remaining pieces.\n\nWait - the skill mentions using `ccr code` not raw `claude`. Let me check if that's installed. Also, I need to use `TERM=dumb` and `< /dev/null` for headless operation.\n\nLet me first verify ccr is available, then construct a comprehensive prompt for Claude Code to finish the entire app.", "tool_calls": [ { "id": "call_fys1iijc", "call_id": "call_fys1iijc", "response_item_id": "fc_fys1iijc", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"which ccr 2\\u003e/dev/null || echo \\\"ccr not found\\\"; which claude 2\\u003e/dev/null || echo \\\"claude not found\\\"; ls /DATA/.local/npm-global/bin/ 2\\u003e/dev/null | grep -E 'claude|ccr'\",\"timeout\":5}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"/DATA/bin/ccr\\n/DATA/bin/claude\\nccr\\nclaude\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_fys1iijc" }, { "role": "assistant", "content": "", "reasoning": "Claude Code is available at /DATA/bin/claude and ccr. The user wants me to use \"Claude Code harness\" — this likely means using the ccr (claude-code-router) since that's the multi-provider backend setup described in the skill. Let me use ccr code -p to build the frontend, Dockerfile, and icon for the CallKeep app.\n\nLet me check the ccr setup and then delegate the full task to Claude Code via ccr.\n\nThe task is:\n1. Write frontend/index.html - a single-page app with glass-morphism design, dashboard view showing contacts sorted by urgency (overdue first), contact detail pages, call logging form, stats\n2. Write Dockerfile\n3. Write icon.svg\n4. Build Docker image\n5. Deploy as Docker container with CasaOS integration\n\nLet me craft a comprehensive prompt for Claude Code. I'll use ccr code -p since it's one-shot.\n\nWait, I should first check what model is being used. The user's ccr is set up with Ollama Cloud models. Let me just run with ccr code -p.\n\nLet me also check the current main.py to make sure it's ready before I hand off.\n\nActually, let me just delegate the whole thing. The main.py is done. Claude Code needs to:\n1. Read the existing main.py for context\n2. Create frontend/index.html\n3. Create Dockerfile\n4. Create icon.svg\n5. Build and deploy\n\nLet me write a detailed prompt.", "finish_reason": "tool_calls", "reasoning_content": "Claude Code is available at /DATA/bin/claude and ccr. The user wants me to use \"Claude Code harness\" — this likely means using the ccr (claude-code-router) since that's the multi-provider backend setup described in the skill. Let me use ccr code -p to build the frontend, Dockerfile, and icon for the CallKeep app.\n\nLet me check the ccr setup and then delegate the full task to Claude Code via ccr.\n\nThe task is:\n1. Write frontend/index.html - a single-page app with glass-morphism design, dashboard view showing contacts sorted by urgency (overdue first), contact detail pages, call logging form, stats\n2. Write Dockerfile\n3. Write icon.svg\n4. Build Docker image\n5. Deploy as Docker container with CasaOS integration\n\nLet me craft a comprehensive prompt for Claude Code. I'll use ccr code -p since it's one-shot.\n\nWait, I should first check what model is being used. The user's ccr is set up with Ollama Cloud models. Let me just run with ccr code -p.\n\nLet me also check the current main.py to make sure it's ready before I hand off.\n\nActually, let me just delegate the whole thing. The main.py is done. Claude Code needs to:\n1. Read the existing main.py for context\n2. Create frontend/index.html\n3. Create Dockerfile\n4. Create icon.svg\n5. Build and deploy\n\nLet me write a detailed prompt.", "tool_calls": [ { "id": "call_c1j1gq0v", "call_id": "call_c1j1gq0v", "response_item_id": "fc_c1j1gq0v", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Create project structure (/media/HDD_1TB/CallKeep/)\",\"id\":\"1\",\"status\":\"completed\"},{\"content\":\"Write main.py (FastAPI backend + SQLite schema)\",\"id\":\"2\",\"status\":\"completed\"},{\"content\":\"Write frontend/index.html, Dockerfile, icon.svg via Claude Code\",\"id\":\"3\",\"status\":\"in_progress\"},{\"content\":\"Build Docker image + deploy with CasaOS\",\"id\":\"4\",\"status\":\"pending\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Create project structure (/media/HDD_1TB/CallKeep/)\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"Write main.py (FastAPI backend + SQLite schema)\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"Write frontend/index.html, Dockerfile, icon.svg via Claude Code\", \"status\": \"in_progress\"}, {\"id\": \"4\", \"content\": \"Build Docker image + deploy with CasaOS\", \"status\": \"pending\"}, {\"id\": \"5\", \"content\": \"Write icon.svg\", \"status\": \"pending\"}, {\"id\": \"6\", \"content\": \"Build Docker image\", \"status\": \"pending\"}, {\"id\": \"7\", \"content\": \"Deploy container with docker run + CasaOS labels\", \"status\": \"pending\"}, {\"id\": \"8\", \"content\": \"Register in CasaOS dashboard\", \"status\": \"pending\"}], \"summary\": {\"total\": 8, \"pending\": 5, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_c1j1gq0v" }, { "role": "assistant", "content": "", "reasoning": "Chef wants me to use Claude Code harness to build the CallKeep app. The backend main.py is already written. I need to delegate the remaining work (frontend/index.html, Dockerfile, icon.svg) to Claude Code, then handle build and deploy.\n\nLet me structure a comprehensive prompt for Claude Code that includes:\n1. The full context of what CallKeep is\n2. The already-written backend\n3. Instructions to create: frontend/index.html, Dockerfile, icon.svg\n4. Design rules from the zimaos-web-app skill\n5. Then build and deploy\n\nLet me use print mode (-p) with sufficient max-turns since this is a lot of work.", "finish_reason": "tool_calls", "reasoning_content": "Chef wants me to use Claude Code harness to build the CallKeep app. The backend main.py is already written. I need to delegate the remaining work (frontend/index.html, Dockerfile, icon.svg) to Claude Code, then handle build and deploy.\n\nLet me structure a comprehensive prompt for Claude Code that includes:\n1. The full context of what CallKeep is\n2. The already-written backend\n3. Instructions to create: frontend/index.html, Dockerfile, icon.svg\n4. Design rules from the zimaos-web-app skill\n5. Then build and deploy\n\nLet me use print mode (-p) with sufficient max-turns since this is a lot of work.", "tool_calls": [ { "id": "call_z6jjdf48", "call_id": "call_z6jjdf48", "response_item_id": "fc_z6jjdf48", "type": "function", "function": { "name": "delegate_task", "arguments": "{\"goal\":\"Build the complete CallKeep app: write frontend/index.html, Dockerfile, and icon.svg, then build the Docker image and deploy it to ZimaOS with CasaOS dashboard integration.\",\"context\":\"## Project: CallKeep — Beziehungs-Tracker\\nLocation: /media/HDD_1TB/CallKeep/\\nThe backend (main.py) is already written and working. You need to create the remaining files, build, and deploy.\\n\\n### What main.py already provides:\\n- FastAPI app on port 3002\\n- SQLite database at /data/callkeep.db\\n- API endpoints:\\n - GET/POST/PUT/DELETE /api/contacts — CRUD contacts (fields: name, nickname, relationship, frequency, priority, notes, birthday, photo_url)\\n - GET/POST/PUT/DELETE /api/calls — CRUD calls (fields: contact_id, direction, duration_minutes, topics, mood, follow_up_needed, follow_up_note, called_at, next_call_at)\\n - GET /api/dashboard — sorted list of contacts with overdue/soon/ok status\\n - GET /api/stats — total_contacts + calls_this_week\\n - GET /api/options — standardized dropdown options\\n - POST /api/kiwi/log-call — simple endpoint for Kiwi to log calls by contact name\\n- FRONTEND_DIR = /app/frontend (absolute in container, relative in dev: Path(__file__).parent / \\\"frontend\\\")\\n- The app reads DATA_DIR env var for data directory (default Path(__file__).parent)\\n\\n### What to create:\\n\\n1. **frontend/index.html** — Full SPA. Must use the PRIMARY design: Blue glass-morphism system-aware light/dark theme (see style rules below). Features:\\n - **Dashboard view**: list all contacts sorted by overdue → soon → ok. Each contact card shows: name, relationship badge, last call date, mood emoji, due indicator (🔥 overdue = red pulsing, ⏰ soon = orange, ✓ ok = green). \\n - **Contact detail modal** (bottom sheet): shows all past calls for that contact, list of topics, mood history, \\\"Next call due\\\" indicator. Button to log new call.\\n - **Log call modal**: pick contact (searchable dropdown), direction (Ausgehend/Eingehend), duration (int minutes), topics (tags input or comma-sep), mood (emoji picker: 😊😐😢), follow-up checkbox + note, date/time. Also has \\\"Nächster Anruf geplant\\\" date picker.\\n - **Add contact modal**: name, nickname, relationship (dropdown from API), frequency (dropdown), priority (1-5 stars), birthday (date), notes.\\n - **Stats header**: total contacts, calls this week.\\n - **Header**: app name \\\"📞 CallKeep\\\" with glass-morphism backdrop.\\n - Mobile-first, all modals as bottom sheets with drag handles.\\n\\n2. **Dockerfile**: \\n - FROM python:3.11-slim\\n - pip install fastapi uvicorn\\n - COPY main.py /app/ + COPY frontend/ /app/frontend/\\n - ENV DATA_DIR=/data\\n - EXPOSE 3002\\n - CMD uvicorn main:app --host 0.0.0.0 --port 3002\\n - WORKDIR /app\\n\\n3. **icon.svg** — A phone icon with a heart or checkmark, using the blue color scheme (#2563EB)\\n\\n### Design Rules (from zimaos-web-app skill):\\n\\n**Blue glass-morphism, system-aware light/dark:**\\n- Light mode (default): --bg: #F8FAFC, --card-glass: rgba(255,255,255,0.75), --card-border: rgba(0,0,0,0.06), --text: #0F172A\\n- Dark mode (@media prefers-color-scheme: dark): --bg: #0A0E1A, --card-glass: rgba(255,255,255,0.06), --card-border: rgba(255,255,255,0.08), --text: #F1F5F9\\n- primary blue: #2563EB, accent: #3B82F6, dark accent: #1E3A5F\\n- Rounded corners: cards 18px, modal top 22px, buttons 12px\\n- Touch-friendly: minimum 44px tap targets, card :active scale(0.97)\\n- Smooth transitions: cubic-bezier(0.25, 0.1, 0.25, 1)\\n- Mobile-first with safe-area insets\\n- Bottom-sheet modals with drag handles, slide-up animation, max-height 88vh\\n- Toast notifications (top center, pill shape, auto-dismiss)\\n- Radial gradient background (blue glow on edges)\\n- Header: sticky, glass backdrop-filter blur(24px)\\n- No external CDN dependencies — all inline CSS + JS\\n- All dropdown options loaded from /api/options\\n\\n### Deployment:\\n\\n- Network: bridge, port 3002\\n- Data dir: /media/HDD_1TB/CallKeep → /data in container\\n- CasaOS labels: title=\\\"CallKeep\\\", icon=http://192.168.178.171:3002/icon.svg, scheme=http, hostname=\\\"\\\", port=3002, category=Utilities\\n- Image name: callkeep\\n- Restart: unless-stopped\\n\\n**Build and deploy steps:**\\n1. Write all three files first\\n2. Build: sudo env HOME=/tmp docker build -t callkeep /media/HDD_1TB/CallKeep/\\n3. Stop/remove old container if exists\\n4. Run: sudo docker run -d --name CallKeep --network bridge --restart unless-stopped -p 3002:3002 -v /media/HDD_1TB/CallKeep:/data -e PORT=3002 -e DATA_DIR=/data -l casaos.title=\\\"CallKeep\\\" -l casaos.description=\\\"Beziehungs-Tracker — vergiss nie wieder einen Anruf\\\" -l casaos.icon=\\\"http://192.168.178.171:3002/icon.svg\\\" -l casaos.scheme=\\\"http\\\" -l casaos.hostname=\\\"\\\" -l casaos.port=\\\"3002\\\" -l casaos.index=\\\"/\\\" -l casaos.category=\\\"Utilities\\\" callkeep\\n5. Register in CasaOS: sudo systemctl stop zimaos-app-management, sudo python3 -c \\\"import json; apps=json.load(open('/etc/casaos/app-management.json')); apps=[a for a in apps if a.get('name','') not in ('CallKeep',)]; json.dump(apps, open('/etc/casaos/app-management.json','w'), indent=2)\\\", sudo systemctl start zimaos-app-management, sleep 5, sudo systemctl restart zimaos-gateway\\n6. Verify: curl http://localhost:3002/api/dashboard returns JSON\\n\\nReturn a summary of what you built and whether the deployment is working (include curl test results).\",\"toolsets\":[\"terminal\",\"file\"]}" } } ] }, { "role": "tool", "name": "delegate_task", "content": "{\"results\": [{\"task_index\": 0, \"status\": \"timeout\", \"summary\": null, \"error\": \"Subagent timed out after 600.0s with 9 API call(s) completed — likely stuck on a slow API call or unresponsive network request.\", \"exit_reason\": \"timeout\", \"api_calls\": 9, \"duration_seconds\": 600.0, \"diagnostic_path\": null}], \"total_duration_seconds\": 600.08}", "tool_call_id": "call_z6jjdf48" }, { "role": "assistant", "content": "", "reasoning": "The subagent timed out after 600 seconds. Let me check what it managed to do before timing out. Let me look at the files it may have created and check if the container was deployed.", "finish_reason": "tool_calls", "reasoning_content": "The subagent timed out after 600 seconds. Let me check what it managed to do before timing out. Let me look at the files it may have created and check if the container was deployed.", "tool_calls": [ { "id": "call_gw9ng35h", "call_id": "call_gw9ng35h", "response_item_id": "fc_gw9ng35h", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\":\"/media/HDD_1TB/CallKeep\",\"pattern\":\"*\",\"target\":\"files\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 3, \"files\": [\"/media/HDD_1TB/CallKeep/main.py\", \"/media/HDD_1TB/CallKeep/icon.svg\", \"/media/HDD_1TB/CallKeep/Dockerfile\"]}", "tool_call_id": "call_gw9ng35h" }, { "role": "user", "content": "[Your active task list was preserved across context compression]\n- [>] 3. Write frontend/index.html, Dockerfile, icon.svg via Claude Code (in_progress)\n- [ ] 4. Build Docker image + deploy with CasaOS (pending)\n- [ ] 5. Write icon.svg (pending)\n- [ ] 6. Build Docker image (pending)\n- [ ] 7. Deploy container with docker run + CasaOS labels (pending)\n- [ ] 8. Register in CasaOS dashboard (pending)" }, { "role": "assistant", "content": "", "reasoning": "Der Claude Code hat ein Timeout bekommen, aber ich sehe dass Dockerfile und icon.svg erstellt wurden. Die index.html fehlt noch. Ich muss jetzt:\n1. Die index.html selbst schreiben\n2. Dann Docker Image bauen und deployen\n\nLass mich zuerst die erstellten Dateien prüfen und dann das Frontend selbst schreiben.", "finish_reason": "tool_calls", "reasoning_content": "Der Claude Code hat ein Timeout bekommen, aber ich sehe dass Dockerfile und icon.svg erstellt wurden. Die index.html fehlt noch. Ich muss jetzt:\n1. Die index.html selbst schreiben\n2. Dann Docker Image bauen und deployen\n\nLass mich zuerst die erstellten Dateien prüfen und dann das Frontend selbst schreiben.", "tool_calls": [ { "id": "call_29ykpdrb", "call_id": "call_29ykpdrb", "response_item_id": "fc_29ykpdrb", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/media/HDD_1TB/CallKeep/Dockerfile\"}" } }, { "id": "call_1h1e0j8a", "call_id": "call_1h1e0j8a", "response_item_id": "fc_1h1e0j8a", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/media/HDD_1TB/CallKeep/icon.svg\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|FROM python:3.11-slim\\n 2|\\n 3|RUN pip install --no-cache-dir fastapi uvicorn\\n 4|\\n 5|COPY main.py /app/\\n 6|COPY frontend/ /app/frontend/\\n 7|\\n 8|ENV DATA_DIR=/data\\n 9|WORKDIR /app\\n 10|\\n 11|EXPOSE 3002\\n 12|CMD [\\\"uvicorn\\\", \\\"main:app\\\", \\\"--host\\\", \\\"0.0.0.0\\\", \\\"--port\\\", \\\"3002\\\"]\\n 13|\", \"total_lines\": 12, \"file_size\": 233, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_29ykpdrb" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|\\n 2| \\n 3| \\n 4| \\n 5| \\n 6| \\n 7| \\n 8| \\n 9| \\n 10| \\n 11| \\n 12| \\n 13| \\n 14| \\n 15| \\n 16| \\n 17| \\n 18| \\n 19| \\n 20| \\n 22| \\n 24| \\n 25| \\n 26| \\n 27| \\n 29| \\n 30|\\n 31|\", \"total_lines\": 30, \"file_size\": 1336, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_1h1e0j8a" }, { "role": "assistant", "content": "Claude Code hat Dockerfile und icon.svg erstellt, aber das Frontend fehlt noch. Schreibe ich jetzt selbst.", "reasoning": "Claude Code timed out but did create Dockerfile and icon.svg. The frontend/index.html is missing — that's the big piece. Let me check if frontend dir exists at all.\n\nI need to write the frontend/index.html myself now. Let me also verify the files Claude created are correct, then write the HTML file.", "finish_reason": "tool_calls", "reasoning_content": "Claude Code timed out but did create Dockerfile and icon.svg. The frontend/index.html is missing — that's the big piece. Let me check if frontend dir exists at all.\n\nI need to write the frontend/index.html myself now. Let me also verify the files Claude created are correct, then write the HTML file.", "tool_calls": [ { "id": "call_x7kytj8u", "call_id": "call_x7kytj8u", "response_item_id": "fc_x7kytj8u", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Write frontend/index.html, Dockerfile, icon.svg\",\"id\":\"3\",\"status\":\"in_progress\"},{\"content\":\"Write icon.svg\",\"id\":\"5\",\"status\":\"completed\"},{\"content\":\"Build Docker image + deploy with CasaOS\",\"id\":\"4\",\"status\":\"pending\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Create project structure (/media/HDD_1TB/CallKeep/)\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"Write main.py (FastAPI backend + SQLite schema)\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"Write frontend/index.html, Dockerfile, icon.svg\", \"status\": \"in_progress\"}, {\"id\": \"4\", \"content\": \"Build Docker image + deploy with CasaOS\", \"status\": \"pending\"}, {\"id\": \"5\", \"content\": \"Write icon.svg\", \"status\": \"completed\"}, {\"id\": \"6\", \"content\": \"Build Docker image\", \"status\": \"pending\"}, {\"id\": \"7\", \"content\": \"Deploy container with docker run + CasaOS labels\", \"status\": \"pending\"}, {\"id\": \"8\", \"content\": \"Register in CasaOS dashboard\", \"status\": \"pending\"}], \"summary\": {\"total\": 8, \"pending\": 4, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_x7kytj8u" }, { "role": "assistant", "content": "", "reasoning": "The user wants me to write the CallKeep frontend index.html. Let me create a full SPA with the blue glass-morphism theme, mobile-first design, dashboard, contact management, call logging, etc.\n\nLet me design this carefully:\n\n1. Dashboard view - list contacts sorted by overdue/soon/ok\n2. Contact detail modal (bottom sheet)\n3. Log call modal\n4. Add contact modal\n5. Stats header\n6. Glass morphism header\n7. Toast notifications\n\nI'll write a comprehensive single-file HTML with inline CSS and JS, no external dependencies.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to write the CallKeep frontend index.html. Let me create a full SPA with the blue glass-morphism theme, mobile-first design, dashboard, contact management, call logging, etc.\n\nLet me design this carefully:\n\n1. Dashboard view - list contacts sorted by overdue/soon/ok\n2. Contact detail modal (bottom sheet)\n3. Log call modal\n4. Add contact modal\n5. Stats header\n6. Glass morphism header\n7. Toast notifications\n\nI'll write a comprehensive single-file HTML with inline CSS and JS, no external dependencies.", "tool_calls": [ { "id": "call_rkmrgymb", "call_id": "call_rkmrgymb", "response_item_id": "fc_rkmrgymb", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"mkdir -p /media/HDD_1TB/CallKeep/frontend\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_rkmrgymb" }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act." }, { "role": "assistant", "content": "", "reasoning": "The user wants me to review the conversation and update the skill library. Let me think about what happened in this session:\n\n1. The user sent a PDF document (an insurance policy - \"2025-02-11_polizze.pdf\") and asked me to read it carefully to understand how they're protected.\n\n2. I loaded the `ocr-and-documents` skill to process the PDF.\n\n3. Then the conversation was compacted. The user said \"Mach es mit Claude Code harness\" - meaning they wanted me to delegate the PDF analysis to Claude Code.\n\n4. I loaded the `claude-code` skill.\n\n5. Then there was another context compaction with an active task list about building CallKeep (a relationship tracker app on ZimaOS).\n\n6. I started the CallKeep workflow: created project structure, wrote main.py, then tried to delegate the remaining work (frontend, Dockerfile, icon, build/deploy) to Claude Code via delegate_task.\n\n7. The delegate_task timed out after 600 seconds with 9 API calls. Claude Code managed to create Dockerfile and icon.svg but didn't create the frontend/index.html.\n\n8. I was about to write the frontend myself when the conversation was compacted again.\n\nNow let me look for signals:\n\n**Signal 1: delegate_task to Claude Code for non-coding tasks (PDF analysis)**\nThe user said \"Mach es mit Claude Code harness\" when asked to analyze a PDF. This is interesting - they wanted me to delegate PDF analysis to Claude Code rather than doing it myself. But then the task shifted to building CallKeep.\n\n**Signal 2: delegate_task timeout for building web apps**\nThe delegate_task to Claude Code timed out trying to build the CallKeep app. This is a pitfall worth documenting - for complex web app builds with multiple files, delegate_task via Claude Code may timeout. The zimaos-web-app skill should note this.\n\n**Signal 3: The workflow itself - building ZimaOS web apps**\nThis session involved a specific workflow for building and deploying a ZimaOS web app with CasaOS integration. Let me check the zimaos-web-app skill to see if there are gaps.\n\nLet me look at the zimaos-web-app skill more carefully, and also look at the claude-code skill for any pitfalls to add.\n\nActually wait - the conversation shows that the user originally asked about an insurance policy PDF, and then it shifted to building CallKeep. Let me think about what skills were loaded and what updates make sense:\n\n1. `ocr-and-documents` was loaded - no issues, just loaded\n2. `claude-code` was loaded - used for delegate_task which timed out\n3. `zimaos-web-app` - the CallKeep build is a ZimaOS web app\n\nThe key learning: delegate_task to Claude Code for building multi-file ZimaOS web apps with Docker build+deploy is too slow and times out. For these tasks, it's better for Hermes to handle the coding directly and only use Claude Code for simpler single-file tasks.\n\nAlso, the user explicitly said \"Mach es mit Claude Code harness\" - this is a preference signal about using Claude Code as a harness for tasks.\n\nLet me think about what to update:\n\n1. **claude-code skill** - Add a pitfall about delegate_task timeouts for complex multi-step workflows (multiple files + Docker build + deploy). For web app builds, consider breaking the work into smaller chunks or handling the coding directly.\n\n2. **zimaos-web-app skill** - Add a note about delegate_task limitations for full app builds. The skill should suggest coding directly rather than delegating for complete app builds.\n\nLet me check the zimaos-web-app skill first to see what it already contains.\n\nActually, I should also consider: the user wanted the PDF analyzed, but the conversation pivoted. The \"Mach es mit Claude Code harness\" instruction suggests using Claude Code for tasks like document analysis - this could be a general note for the claude-code skill about using it for analysis tasks, not just coding.\n\nLet me focus on what's most actionable:\n\n1. **Patch `claude-code`** - Add pitfall about delegate_task timing out on complex multi-step workflows (code + Docker + deploy). Recommend breaking into separate delegate_task calls or handling simpler steps directly.\n\n2. Maybe add a reference file about the CallKeep project setup as a template for future ZimaOS web apps? But that seems too specific.\n\nActually, let me re-read the user's request more carefully. They said to review the conversation and update the skill library. Let me focus on concrete learnings:\n\n- delegate_task with Claude Code timed out on a full web app build (3 files + Docker build + deploy). It only completed 2 of 3 files before timing out.\n- The effective pattern would be: write code yourself, use delegate_task for simpler/decomposed subtasks.\n\nLet me load the zimaos-web-app skill to see if there's anything to update there.\n\nWait, I should also check if the claude-code skill already mentions delegate_task limitations. Let me check what skills were loaded this session.\n\nSkills loaded: ocr-and-documents, claude-code\n\nLet me patch the claude-code skill to add a pitfall about delegate_task timeouts for complex workflows, and also check if there's anything to update in zimaos-web-app.\n\nActually, I realize I should check what files exist in the CallKeep project and whether main.py was written successfully. But that's task execution, not skill updating.\n\nLet me focus on the skill updates:\n\n1. **Patch claude-code skill** - Add pitfall #17: delegate_task to Claude Code for complex multi-file builds + Docker build + deploy can timeout (600s default). Break work into separate calls or handle simpler parts directly.\n\nLet me also consider: was there a skill for the CallKeep/relationship tracker pattern? The zimaos-web-app skill covers building web apps for ZimaOS. Let me load it to check.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to review the conversation and update the skill library. Let me think about what happened in this session:\n\n1. The user sent a PDF document (an insurance policy - \"2025-02-11_polizze.pdf\") and asked me to read it carefully to understand how they're protected.\n\n2. I loaded the `ocr-and-documents` skill to process the PDF.\n\n3. Then the conversation was compacted. The user said \"Mach es mit Claude Code harness\" - meaning they wanted me to delegate the PDF analysis to Claude Code.\n\n4. I loaded the `claude-code` skill.\n\n5. Then there was another context compaction with an active task list about building CallKeep (a relationship tracker app on ZimaOS).\n\n6. I started the CallKeep workflow: created project structure, wrote main.py, then tried to delegate the remaining work (frontend, Dockerfile, icon, build/deploy) to Claude Code via delegate_task.\n\n7. The delegate_task timed out after 600 seconds with 9 API calls. Claude Code managed to create Dockerfile and icon.svg but didn't create the frontend/index.html.\n\n8. I was about to write the frontend myself when the conversation was compacted again.\n\nNow let me look for signals:\n\n**Signal 1: delegate_task to Claude Code for non-coding tasks (PDF analysis)**\nThe user said \"Mach es mit Claude Code harness\" when asked to analyze a PDF. This is interesting - they wanted me to delegate PDF analysis to Claude Code rather than doing it myself. But then the task shifted to building CallKeep.\n\n**Signal 2: delegate_task timeout for building web apps**\nThe delegate_task to Claude Code timed out trying to build the CallKeep app. This is a pitfall worth documenting - for complex web app builds with multiple files, delegate_task via Claude Code may timeout. The zimaos-web-app skill should note this.\n\n**Signal 3: The workflow itself - building ZimaOS web apps**\nThis session involved a specific workflow for building and deploying a ZimaOS web app with CasaOS integration. Let me check the zimaos-web-app skill to see if there are gaps.\n\nLet me look at the zimaos-web-app skill more carefully, and also look at the claude-code skill for any pitfalls to add.\n\nActually wait - the conversation shows that the user originally asked about an insurance policy PDF, and then it shifted to building CallKeep. Let me think about what skills were loaded and what updates make sense:\n\n1. `ocr-and-documents` was loaded - no issues, just loaded\n2. `claude-code` was loaded - used for delegate_task which timed out\n3. `zimaos-web-app` - the CallKeep build is a ZimaOS web app\n\nThe key learning: delegate_task to Claude Code for building multi-file ZimaOS web apps with Docker build+deploy is too slow and times out. For these tasks, it's better for Hermes to handle the coding directly and only use Claude Code for simpler single-file tasks.\n\nAlso, the user explicitly said \"Mach es mit Claude Code harness\" - this is a preference signal about using Claude Code as a harness for tasks.\n\nLet me think about what to update:\n\n1. **claude-code skill** - Add a pitfall about delegate_task timeouts for complex multi-step workflows (multiple files + Docker build + deploy). For web app builds, consider breaking the work into smaller chunks or handling the coding directly.\n\n2. **zimaos-web-app skill** - Add a note about delegate_task limitations for full app builds. The skill should suggest coding directly rather than delegating for complete app builds.\n\nLet me check the zimaos-web-app skill first to see what it already contains.\n\nActually, I should also consider: the user wanted the PDF analyzed, but the conversation pivoted. The \"Mach es mit Claude Code harness\" instruction suggests using Claude Code for tasks like document analysis - this could be a general note for the claude-code skill about using it for analysis tasks, not just coding.\n\nLet me focus on what's most actionable:\n\n1. **Patch `claude-code`** - Add pitfall about delegate_task timing out on complex multi-step workflows (code + Docker + deploy). Recommend breaking into separate delegate_task calls or handling simpler steps directly.\n\n2. Maybe add a reference file about the CallKeep project setup as a template for future ZimaOS web apps? But that seems too specific.\n\nActually, let me re-read the user's request more carefully. They said to review the conversation and update the skill library. Let me focus on concrete learnings:\n\n- delegate_task with Claude Code timed out on a full web app build (3 files + Docker build + deploy). It only completed 2 of 3 files before timing out.\n- The effective pattern would be: write code yourself, use delegate_task for simpler/decomposed subtasks.\n\nLet me load the zimaos-web-app skill to see if there's anything to update there.\n\nWait, I should also check if the claude-code skill already mentions delegate_task limitations. Let me check what skills were loaded this session.\n\nSkills loaded: ocr-and-documents, claude-code\n\nLet me patch the claude-code skill to add a pitfall about delegate_task timeouts for complex workflows, and also check if there's anything to update in zimaos-web-app.\n\nActually, I realize I should check what files exist in the CallKeep project and whether main.py was written successfully. But that's task execution, not skill updating.\n\nLet me focus on the skill updates:\n\n1. **Patch claude-code skill** - Add pitfall #17: delegate_task to Claude Code for complex multi-file builds + Docker build + deploy can timeout (600s default). Break work into separate calls or handle simpler parts directly.\n\nLet me also consider: was there a skill for the CallKeep/relationship tracker pattern? The zimaos-web-app skill covers building web apps for ZimaOS. Let me load it to check.", "tool_calls": [ { "id": "call_lszlkmun", "call_id": "call_lszlkmun", "response_item_id": "fc_lszlkmun", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"zimaos-web-app\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"zimaos-web-app\", \"description\": \"Build small single-file web apps for ZimaOS using FastAPI + vanilla HTML/CSS/JS. Apple-inspired minimal design, mobile-optimized, no auth unless specified.\", \"tags\": [\"zimaos\", \"web-app\", \"fastapi\", \"html\", \"mobile\"], \"related_skills\": [], \"content\": \"---\\nname: zimaos-web-app\\nversion: 1.0.0\\ndescription: Build small single-file web apps for ZimaOS using FastAPI + vanilla HTML/CSS/JS. Apple-inspired minimal design, mobile-optimized, no auth unless specified.\\nauthor: Kiwi\\nmetadata:\\n hermes:\\n tags: [zimaos, web-app, fastapi, html, mobile]\\n---\\n\\n# ZimaOS Web App\\n\\n## Purpose\\nBuild small, self-contained web applications that run on ZimaOS under `/DATA/AppData/hermes/projects/`. The pattern: one Python file (FastAPI backend + static serving) + one HTML file (frontend). Accessible from any device on the local network. No Docker, no Node.js, no build step.\\n\\n## When to Use\\nUse when the user asks for a \\\"small web app\\\", \\\"tool\\\", \\\"web-ui\\\", or any browser-based utility that runs on their ZimaOS server.\\n\\n## Design Rules (user preferences)\\n\\n**UI Style (primary — Zeyd's blue glass-morphism, system-aware theme):**\\n- **System-aware:** Always implement light mode as default with `@media (prefers-color-scheme: dark)` overrides. Never hardcode dark-only. User wants the app to match the device's system setting.\\n- Blue color scheme: primary `#2563EB`, accent `#3B82F6`, dark accent `#1E3A5F`\\n- Glass-morphism: use CSS variables for `card-glass`, `card-border`, `modal-bg` that change between light/dark\\n- Light mode: `--bg: #F8FAFC`, `--card-glass: rgba(255,255,255,0.75)`, `--card-border: rgba(0,0,0,0.06)`\\n- Dark mode: `--bg: #0A0E1A`, `--card-glass: rgba(255,255,255,0.06)`, `--card-border: rgba(255,255,255,0.08)`\\n- Mobile-first with safe-area insets (`env(safe-area-inset-*)`), viewport-fit=cover\\n- Bottom-sheet modals with drag handle (slide-up from bottom, max-height 88vh)\\n- Rounded corners: cards 18px, modal top 22px, buttons 12px\\n- Touch-friendly: minimum 44px tap targets, card `:active` scale(0.97) feedback\\n- Smooth transitions: `cubic-bezier(0.25, 0.1, 0.25, 1)`\\n- Reference apps: DocMaster, DailyDose, PrintVault (style orientation)\\n\\n**UI Style (alternative — Stripe Link, warm & editorial):**\\n- Inspired by Stripe Link (link.com): warm off-white background, clean cards, serif font for headlines, system font for UI\\n- Color palette: background `#fdf5ef`, cards `#FFFFFF`, text `#13343B`, dim text `#555`\\n- Accent blue: `#00579F`, hover `#003F75`, light blue `rgba(0,87,159,0.08)`\\n- Functional colors: red `#EF4562` (Stripe's warm red, not harsh), green `#0E6245` (deep), teal accent `#1FB8CD`\\n- Typography: **Lora** (Google Fonts serif, 400/500/600/700) for headlines and large numbers, `-apple-system` for UI labels and body text. Load via Google Fonts CDN preconnect + link\\n- Cards: `border-radius 12px`, `box-shadow: 0 1px 3px rgba(19,52,59,0.06)`, subtle border `rgba(19,52,59,0.08)`, white background\\n- Header: sticky, `backdrop-filter blur(16px)` on `rgba(253,245,239,0.92)`, thin bottom border\\n- No dark mode (Stripe Link is light-only), no radial gradients\\n- Much white space, large serif numbers for hero values, minimal icon usage\\n- Use when user says \\\"wie Stripe Link\\\", \\\"link.com/at style\\\", or requests warm/editorial/serif design for finance/docs apps\\n- SF Pro fonts, rounded corners (16px), subtle shadows, frosted glass header\\n- Color palette: background `#F2F2F7`, cards `#FFFFFF`, text `#1D1D1F`, blue `#007AFF`, green `#34C759`, red `#FF3B30`\\n- Use only when user explicitly requests Apple/light-minimal style\\n\\n**Auth:**\\n- No authentication unless the user explicitly requests it\\n- If auth needed, use HTTP Basic Auth middleware (like DocMaster)\\n\\n## Deployment Patterns\\n\\n### Option A: Direct Python (quick dev)\\nRun via: `python main.py` (uses uvicorn in `__main__`).\\nPort: pick an unused port near 3000 (check with `ss -tlnp | grep 300`).\\n\\n### Option B: Docker Container (production, user preference)\\nUse when the user wants a persistent container with CasaOS dashboard integration.\\n\\n**Build (ZimaOS quirks):**\\n```bash\\n# ZimaOS has read-only /root/.docker — must use HOME=/tmp\\n# User az-a is NOT in docker group — always sudo\\nsudo env HOME=/tmp docker build -t /DATA/AppData/hermes/projects/\\n```\\n\\n**Deploy — choose pattern A or B:**\\n\\nSee *Two valid deployment patterns* below for complete instructions with correct hostname/icon conventions.\\n\\n**Dockerfile (if needed):**\\n```dockerfile\\nFROM python:3.11-slim\\nRUN pip install --no-cache-dir fastapi uvicorn \\nWORKDIR /app\\nCOPY main.py .\\nCOPY frontend/ frontend/\\nENV MPLCONFIGDIR=/tmp/matplotlib # if using matplotlib\\nEXPOSE \\nCMD [\\\"uvicorn\\\", \\\"main:app\\\", \\\"--host\\\", \\\"0.0.0.0\\\", \\\"--port\\\", \\\"\\\"]\\n```\\n\\n## CasaOS Dashboard Integration\\n\\n### \\\"Derzeit nicht unterstützt\\\" — Root Cause & Complete Fix\\n\\nWhen clicking an app tile in CasaOS shows \\\"Derzeit nicht unterstützt\\\" (currently not supported), there are **two layers** to the fix. Apply both:\\n\\n**Layer 1: CSP iframe middleware** — allow CasaOS to embed your app:\\n```python\\n@app.middleware(\\\"http\\\")\\nasync def add_frame_options(request: Request, call_next):\\n \\\"\\\"\\\"Allow iframe embedding for CasaOS dashboard.\\\"\\\"\\\"\\n response = await call_next(request)\\n response.headers[\\\"X-Frame-Options\\\"] = \\\"ALLOWALL\\\"\\n response.headers[\\\"Content-Security-Policy\\\"] = \\\"frame-ancestors 'self' http://*:* https://*:*;\\\"\\n return response\\n```\\n\\n**Layer 2: App type registration** — this is the REAL root cause. `zimaos-app-management` discovers containers by scanning Docker labels and compose files. It assigns an `app_type`:\\n\\n- `container` — discovered via direct `docker run` (no `com.docker.compose.*` labels). Works. The gateway reads `casaos.*` Docker labels directly for routing.\\n- `v2app` — discovered via compose files with `com.docker.compose.project` labels. Works when a proper `x-casaos` extension block is present in the compose file. Without `x-casaos`, the service logs `error: \\\"extension x-casaos not found\\\"` → dashboard shows \\\"Derzeit nicht unterstützt\\\".\\n\\n**Both patterns work:** `docker run` with `casaos.*` labels (Pattern A, no compose needed) OR compose file with `x-casaos` block (Pattern B). Never use compose WITHOUT `x-casaos`.\\n\\n**Complete fix — switch from compose to docker run, then clean up app-management.json:**\\n```bash\\n# 1. Stop and remove compose-managed container\\nsudo docker stop 2>/dev/null\\nsudo docker rm 2>/dev/null\\n\\n# 2. Start directly with casaos.* labels only (NO compose labels)\\nsudo docker run -d \\\\\\n --name \\\\\\n --network bridge \\\\\\n --restart unless-stopped \\\\\\n -p : \\\\\\n -v /media/HDD_1TB/:/data \\\\\\n -e PORT= \\\\\\n -l casaos.title=\\\"\\\" \\\\\\n -l casaos.description=\\\"\\\" \\\\\\n -l casaos.icon=\\\"http://localhost:/icon.svg\\\" \\\\\\n -l casaos.scheme=\\\"http\\\" \\\\\\n -l casaos.hostname=\\\"\\\" \\\\\\n -l casaos.port=\\\"\\\" \\\\\\n -l casaos.index=\\\"/\\\" \\\\\\n -l casaos.category=\\\"Utilities\\\" \\\\\\n \\n\\n# 3. Stop app-management, remove old v2app entries, restart\\nsudo systemctl stop zimaos-app-management\\nsudo python3 -c \\\"\\nimport json\\nwith open('/etc/casaos/app-management.json') as f:\\n apps = json.load(f)\\n# Remove old v2app entries by name AND old container hash entries\\napps = [a for a in apps if a.get('name','') not in ('','')]\\nwith open('/etc/casaos/app-management.json','w') as f:\\n json.dump(apps, f, indent=2)\\n\\\"\\nsudo systemctl start zimaos-app-management\\nsleep 5\\nsudo systemctl restart zimaos-gateway\\n\\n# 4. Verify: both apps should now be type 'container'\\nsudo docker ps --format '{{.Names}} {{.Status}}' | grep -E ''\\n# Also check no x-casaos errors in logs:\\nsudo journalctl -u zimaos-app-management --since \\\"1 min ago\\\" --no-pager | grep -i x-casaos\\n```\\n\\n**Critical details:**\\n- Stop app-management BEFORE editing the JSON — the service overwrites it from memory on shutdown. Edit while stopped, then start.\\n- Remove ALL old entries for the app (both the `v2app` by name and any stale `container` entry by Docker hash ID). Otherwise duplicates appear.\\n- `zimaos-gateway` must be restarted after app-management to pick up the new routes. Gateway caches are the #1 cause of \\\"fixed JSON but still shows error\\\".\\n- This approach survives reboots — `docker run` with `--restart unless-stopped` re-launches the container with the same labels. No compose file needed.\\n\\n**Verification — check the appgrid API:**\\n```bash\\nPORT=$(sudo ss -tlnp | grep zimaos-app-man | awk '{print $4}' | cut -d: -f2 | head -1)\\ncurl -s http://127.0.0.1:$PORT/v2/app_management/web/appgrid | python3 -c \\\"\\nimport json,sys\\nfor item in json.load(sys.stdin)['data']:\\n if item.get('app_type') == 'container':\\n print(item.get('title',{}).get('en_US','?'), '-> type:', item.get('app_type'))\\n\\\"\\n```\\n\\n### network_mode: bridge\\n\\nApps deployed via docker compose get isolated networks by default (e.g., `printvault_default` on 172.19.x). CasaOS can only reach containers on the default `bridge` network. Add to docker-compose.yml:\\n```yaml\\n network_mode: bridge\\n```\\n\\n### Two valid deployment patterns\\n\\n**Pattern A: `container` type via `docker run` + `casaos.*` labels** — recommended for simple apps. Container is discovered via Docker daemon scanning and registered as `container` type. Routing data is read directly from Docker labels at gateway time — no compose file needed.\\n\\n```bash\\nsudo docker run -d \\\\\\n --name --network bridge --restart unless-stopped \\\\\\n -p : -e PORT= \\\\\\n -l casaos.title=\\\"\\\" \\\\\\n -l casaos.icon=\\\"http://:/icon.svg\\\" \\\\\\n -l casaos.scheme=\\\"http\\\" \\\\\\n -l casaos.hostname=\\\"\\\" \\\\\\n -l casaos.port=\\\"\\\" \\\\\\n -l casaos.index=\\\"/\\\" \\\\\\n -l casaos.category=\\\"Utilities\\\" \\\\\\n \\n```\\n\\n**Pattern B: `v2app` type via `x-casaos` compose file** — for apps that need complex compose config (volumes, env files, depends_on). Place a `docker-compose.yml` in `/var/lib/casaos/apps//` with an `x-casaos` top-level block. The service discovers it and registers as `v2app` type with all fields populated from the `x-casaos` block. **This works — the \\\"never compose\\\" rule below was wrong. See Pitfalls for the distinction.**\\n\\nExample `/var/lib/casaos/apps/PrintVault/docker-compose.yml`:\\n```yaml\\nname: printvault\\nservices:\\n PrintVault:\\n image: printvault\\n network_mode: bridge\\n container_name: PrintVault\\n ports: [\\\"3001:3001\\\"]\\n environment: [PORT=3001]\\n restart: unless-stopped\\nx-casaos:\\n author: self\\n category: self\\n hostname: \\\"\\\" # empty = works everywhere (LAN, VPN, remote) — all official apps use this\\n icon: http://192.168.178.171:3001/icon.svg\\n index: /\\n is_uncontrolled: false\\n port_map: \\\"3001\\\"\\n scheme: http\\n store_app_id: printvault\\n title:\\n custom: PrintVault\\n```\\n\\n**Pattern B deployment steps (proven working):**\\n```bash\\n# 1. Write compose file with x-casaos block (see template above)\\nsudo mkdir -p /var/lib/casaos/apps/\\nsudo tee /var/lib/casaos/apps//docker-compose.yml << 'EOF'\\n# Top-level name must match store_app_id for discovery\\nname: \\nservices:\\n ...\\nx-casaos:\\n store_app_id: \\n ...\\nEOF\\n\\n# 2. Copy source files into the deploy directory (if building from source)\\nsudo cp /main.py /var/lib/casaos/apps//main.py\\nsudo cp -r /frontend/ /var/lib/casaos/apps//frontend/\\n\\n# 3. Stop app-management, rebuild image (--no-cache required!), restart container\\nsudo systemctl stop zimaos-app-management\\ncd /var/lib/casaos/apps/ && sudo docker compose down\\ncd /var/lib/casaos/apps/ && sudo env DOCKER_CONFIG=/tmp/docker-config docker compose build --no-cache\\ncd /var/lib/casaos/apps/ && sudo docker compose up -d\\nsudo systemctl start zimaos-app-management\\nsleep 6\\n\\n# 4. Restart gateway (MANDATORY — routes are cached)\\nsudo systemctl restart zimaos-gateway\\nsleep 8\\n\\n# 5. Verify the app appears in installed list\\nPORT=$(sudo ss -tlnp | grep zimaos-app-man | awk '{print $4}' | cut -d: -f2 | head -1)\\ncurl -s \\\"http://127.0.0.1:$PORT/v2/app_management/apps\\\" | python3 -c \\\"\\nimport json,sys\\ndata=json.load(sys.stdin)\\nprint('Installed:', data['data']['installed'])\\n\\\"\\n```\\n\\n**⚠️ Critical: When source files change, you MUST rebuild.** `docker compose up -d` alone reuses the cached image. If you copied new source files but didn't rebuild, the app runs the old code — this is the #1 cause of \\\"app works but looks old/wrong\\\". Always run `build --no-cache` before `up -d` when files changed.\\n\\n**Why compose without x-casaos fails:** Docker compose generates `com.docker.compose.*` labels even without an `x-casaos` block. These labels trigger `v2app` registration, but without the `x-casaos` extension the app-management service logs `error: \\\"extension x-casaos not found\\\"` → dashboard shows \\\"Derzeit nicht unterstützt\\\". The fix is either: (A) switch to `docker run` with only `casaos.*` labels, OR (B) add the proper `x-casaos` block to the compose file.\\n\\nManual edits to `/etc/casaos/app-management.json` are **reverted by the service on restart** because it regenerates the JSON from in-memory state. To clean up old entries: stop the service first (`sudo systemctl stop zimaos-app-management`), edit the JSON, then start.\\n\\nNote: `title` in app-management.json is an i18n dict (e.g. `{\\\"en_US\\\": \\\"PrintVault\\\"}` or `{\\\"custom\\\": \\\"PrintVault\\\"}`), NOT a flat string — parse with `.get('en_US', '') or .get('custom', '')`, never cast directly. To verify app is registered, query the simpler `installed` list endpoint: `/v2/app_management/apps` → `data.installed` is a flat array of store_app_id strings.\\n\\n### Icon & hostname — critical correctness\\n\\n**`hostname` field determines iframe URL construction.** The CasaOS frontend uses it to build the URL that loads your app in an iframe:\\n- `hostname=\\\"\\\"` (empty string) → frontend uses `window.location.hostname` (the same host the dashboard was accessed from) → works for both LAN and VPN/remote access ✅ (**RECOMMENDED** — all official apps like Plex, Immich, Komga use this)\\n- `hostname=\\\"localhost\\\"` → frontend constructs `localhost:` → resolves to **the client browser's machine**, NOT the ZimaOS server → blank page ❌\\n- `hostname=\\\"192.168.178.171\\\"` (hardcoded LAN IP) → works on LAN but **breaks over VPN/remote access** (client browser can't reach the LAN IP through the VPN tunnel)\\n- `hostname=\\\"172.17.0.x\\\"` (Docker bridge IP) → only reachable from within Docker network → fails from client browser\\n\\n**Icon URL follows a different rule:** the icon must be reachable from the client browser. For LAN-only access, use the server's LAN IP (e.g. `http://192.168.178.171:/icon.svg`). Over VPN, the LAN IP icon URL won't load — but the app still works (icon is cosmetic). If you need universal icon reachability, serve it through the gateway proxy or use a data URI. For simple apps, the LAN IP icon is fine.\\n\\nFor both patterns, determine server IP: `ip route get 1 2>/dev/null | awk '{print $7}' | head -1`\\n\\nServe a local SVG icon at `/icon.svg` (don't use external CDN links — they may fail on some ZimaOS builds):\\n\\n```python\\n@app.get(\\\"/icon.svg\\\")\\ndef serve_icon():\\n return FileResponse(FRONTEND_DIR / \\\"icon.svg\\\", media_type=\\\"image/svg+xml\\\")\\n```\\n\\nThen reference it with the server's LAN IP in your deployment labels/block: `casaos.icon: \\\"http://:/icon.svg\\\"` (see Icon & hostname section above for why localhost doesn't work).\\n\\n## Project Structure\\n\\n**Primary (Source + Data on HDD):** When the user says \\\"alles in einen Ordner\\\" or wants consolidation, put everything on the HDD:\\n\\n```\\n/media/HDD_1TB//\\n├── main.py # FastAPI app — all backend logic\\n├── Dockerfile # Container build\\n├── metadata.json # Persistent data (if any)\\n├── stls/ # Uploaded files (if app handles files)\\n├── thumbs/ # Generated thumbnails\\n└── frontend/\\n ├── index.html # Single HTML file — inline CSS + JS\\n └── icon.svg # App icon\\n```\\n\\nThe `docker-compose.yml` stays in `/var/lib/casaos/apps//` with `build.context` pointing to the HDD path:\\n```yaml\\nservices:\\n :\\n build:\\n context: /media/HDD_1TB/\\n volumes:\\n - /media/HDD_1TB/:/data\\n environment:\\n - DATA_DIR=/data\\n```\\n\\nThis keeps all files on the durable HDD (survives OS reinstalls) while CasaOS still discovers the app via its compose file. The volume mount gives the container access to the same directory as `/data`, and the app uses `DATA_DIR=/data` to find its data.\\n\\n**Secondary (Project on SSD, data on HDD):** For simpler apps where the user hasn't asked for consolidation:\\n\\n```\\n/DATA/AppData/hermes/projects//\\n├── main.py # FastAPI app — all backend logic\\n└── frontend/\\n └── index.html # Single HTML file — inline CSS + JS\\n```\\n\\nWith data on HDD via volume mount: `-v /media/HDD_1TB/:/data`.\\n\\n## FastAPI Backend Template\\n\\n```python\\n\\\"\\\"\\\"\\n — Description\\nFastAPI Backend + Static Frontend\\n\\\"\\\"\\\"\\nfrom pathlib import Path\\nfrom fastapi import FastAPI\\nfrom fastapi.responses import FileResponse\\nfrom fastapi.middleware.cors import CORSMiddleware\\n\\nFRONTEND_DIR = Path(__file__).parent / \\\"frontend\\\"\\n\\napp = FastAPI(title=\\\"\\\")\\napp.add_middleware(CORSMiddleware, allow_origins=[\\\"*\\\"], allow_methods=[\\\"*\\\"], allow_headers=[\\\"*\\\"])\\n\\n@app.get(\\\"/\\\")\\ndef serve_frontend():\\n return FileResponse(FRONTEND_DIR / \\\"index.html\\\")\\n\\n@app.get(\\\"/api/stats\\\")\\ndef stats():\\n return {\\\"status\\\": \\\"ok\\\"}\\n\\nif __name__ == \\\"__main__\\\":\\n import uvicorn\\n uvicorn.run(app, host=\\\"0.0.0.0\\\", port=3001)\\n```\\n\\n## Common API Patterns\\n\\nAdd to any media/file-library app's backend:\\n\\n**File download endpoint:**\\n```python\\n@app.get(\\\"/api/download/{file_id}\\\")\\ndef download_file(file_id: str):\\n file_path = STORAGE_DIR / f\\\"{file_id}.\\\"\\n if not file_path.exists():\\n raise HTTPException(404, \\\"Datei nicht gefunden\\\")\\n meta = load_meta()\\n display_name = meta.get(file_id, {}).get(\\\"name\\\", file_id).replace(\\\" \\\", \\\"_\\\") + \\\".\\\"\\n return FileResponse(file_path, media_type=\\\"application/octet-stream\\\", filename=display_name)\\n```\\n\\n## Frontend Skeleton (Primary — Blue Glass-Morphism, System-Aware Light/Dark)\\n\\nThis is the DEFAULT skeleton. All new apps use this unless the user explicitly asks for the Apple-minimal light variant.\\n\\n**Critical: System-aware theme.** Always use `@media (prefers-color-scheme: dark)` with light-as-default variables. Never hardcode dark-only. The user wants the app to match the device's system setting.\\n\\n```html\\n\\n\\n\\n\\n\\nApp Name\\n\\n\\n\\n

📦 App Name

\\n
\\n\\n\\n```\\n\\n### Frontend Skeleton (Alternative — Apple-Inspired Light)\\n\\nUse ONLY when user explicitly requests Apple/light-minimal style. This is NOT the default.\\n\\n```html\\n\\n\\n\\n\\n\\nApp Name\\n\\n\\n\\n

📦 App Name

\\n
\\n\\n\\n```\\n\\n### Full-width design (when user asks \\\"nutze die gesamte Breite\\\")\\n\\nWhen the user requests full-width layout, the correct approach is:\\n- **Remove** `max-width: 800px` from `.header-inner`, `.controls`, `.upload-zone`, `.grid`\\n- **Keep** the natural 20px content padding (like `margin: 0 20px` or inherited from `header { padding: 12px 20px }`)\\n- **Do NOT** replace with `max-width: 100%` + larger fixed margins (like `32px`) — that creates awkward spacing on mobile and conflicts with the header's own padding, resulting in 52px total offset from the edge. User will say \\\"Sieht irgendwie nicht richtig aus.\\\"\\n- The grid's `auto-fill` and card sizes already handle responsive width naturally — removing the max-width constraint is sufficient.\\n\\n## Checklist\\n\\nBefore declaring done, verify:\\n- [ ] Port is free (`ss -tlnp`)\\n- [ ] `curl localhost:/` returns HTML\\n- [ ] `curl localhost:/api/stats` returns JSON\\n- [ ] Background process is running and not blocked on permissions\\n- [ ] HDD paths exist with correct ownership (`sudo mkdir` + `sudo chown az-a:users` if needed)\\n- [ ] Mobile viewport meta tag present\\n- [ ] No external CSS/JS dependencies (no CDN links)\\n- [ ] Toast notifications work\\n- [ ] Card :active feedback works on mobile\\n\\n## Pitfalls\\n\\n| Symptom | Cause | Fix |\\n|---------|-------|-----|\\n| `PermissionError` on `/media/HDD_1TB/` | Root-owned mount, user `az-a` can't write | `sudo mkdir -p ` + `sudo chown az-a:users ` |\\n| Port already in use | Another service | Pick next available (3002, 3003…) |\\n| Frontend not found (404) | Wrong FRONTEND_DIR path | Use `Path(__file__).parent / \\\"frontend\\\"` |\\n| `ImportError: Library \\\"GL\\\" not found` | pyglet needs OpenGL on headless ZimaOS | Use matplotlib with `Agg` backend for 3D thumbnails instead of `trimesh.scene.save_image()` |\\n| Matplotlib permission warning | Can't write `~/.config/matplotlib` | Set `MPLCONFIGDIR=/tmp` — harmless |\\n| Background process dies immediately | Module import error (missing dep) | Check `process log` for traceback |\\n| Docker build fails with `read-only file system` or `permission denied` on `/tmp/docker-config/buildx/instances` | ZimaOS has `/root/.docker` on read-only FS. `DOCKER_CONFIG=/tmp/docker-config` needs a writable directory owned by the user running docker (not root). | **Full sequence — works for both `docker build` and `docker compose build`:** (1) `sudo rm -rf /tmp/docker-config` (may exist with root ownership from prior sudo invocations), (2) `sudo mkdir -p /tmp/docker-config`, (3) `sudo chown -R az-a:docker /tmp/docker-config` (critical — docker needs to write buildx instances), (4) `DOCKER_CONFIG=/tmp/docker-config docker build -t `. For compose: same prep + `DOCKER_CONFIG=/tmp/docker-config docker compose -f build --no-cache`. The `HOME` variable alone is NOT sufficient for compose — `DOCKER_CONFIG` overrides where compose writes its config. `sudo env` is NOT needed when the directory is chown'd to az-a. |\\n| Docker build blocked (tool policy: \\\"foreground command appears to start a long-lived server\\\") | Build takes 90-180s which exceeds foreground threshold | Always use `background=true` + `notify_on_complete=true` for docker build. Check result with `process poll` after notification. |\\n| `docker compose up -d --wait` hangs or fails | Container has no healthcheck defined | Use plain `docker compose up -d` (without `--wait`). App-management will discover the running container on restart. |\\n| `curl -I` (HEAD) returns 405 on icon.svg or other static routes | FastAPI route handler (`@app.get`) only handles GET, not HEAD | Use `curl -s` (GET) for verification. The CasaOS frontend uses GET, not HEAD, so this is a testing-only issue. |\\n| `curl` returns nothing (exit code 7) | Container not ready yet | Wait 3-5s after `up -d`, then retry |\\n| \\\"Derzeit nicht unterstützt\\\" when clicking app tile | Container registered as `v2app` type without proper `x-casaos` extension. Docker compose generates `com.docker.compose.*` labels that trigger v2app registration, but without an `x-casaos` top-level block the service can't read routing fields. | Option A (simpler): redeploy via `docker run` with only `casaos.*` labels. Option B (full): add proper `x-casaos` block to the compose file with all required fields (hostname, icon, index, port_map, scheme, store_app_id, title). Stop app-management, deploy, restart. See full workflow above. |\\n| \\\"Derzeit nicht unterstützt\\\" or blank page when clicking app tile over VPN/remote access | **(1)** `hostname` is hardcoded to a LAN IP (e.g. `192.168.178.171`) that is unreachable through a VPN tunnel — the client browser can't resolve the LAN IP. **(2)** `hostname=\\\"localhost\\\"` causes the frontend to resolve to the client machine instead of ZimaOS server. **(3)** `hostname=\\\"172.17.0.x\\\"` (Docker bridge IP) is only reachable from inside Docker. | Set `hostname=\\\"\\\"` (empty string) for universal compatibility — works on LAN, VPN, and remote. Every official CasaOS app (Plex, Immich, Komga, Audiobookshelf) ships with empty hostname. **This is the #1 VPN access bug** — user says \\\"drücke drauf und komme nicht rein, bin über VPN\\\". The JSON `app_type` field is NOT the issue (all apps are `v2app`). Check `hostname` first. Only hardcode the LAN IP in `casaos.icon` if you need the icon to display on the dashboard. |\\n| Codex CLI / Node.js install fails on ZimaOS | No apt/dnf/apk/yum/pacman on ZimaOS. Read-only `/usr/local`. Only way is manual tarball extract, then npm global installs hit permission errors. **Don't waste time** — if user says \\\"lass das über Codex laufen\\\" on ZimaOS, tell them Codex can't be installed here and offer to do the work directly instead. |\\\\n| Next.js app blocked in iframe (blank page, console CSP error) | `next.config.ts` headers block framing: `X-Frame-Options: DENY` + `frame-ancestors 'none'` | Patch `next.config.ts` security headers: set `X-Frame-Options: ALLOWALL` and `frame-ancestors *`. Rebuild image, redeploy. |\\n| `ModuleNotFoundError: No module named 'scipy'` in trimesh | ZimaOS has no scipy. `trimesh.fix_normals()`, `split()`, `boolean difference`, and many advanced mesh operations import scipy internally. | Avoid `fix_normals()`, `split()`, and `Mesh.connected_components`. Use basic creation functions (`trimesh.creation.*`). For boolean ops, try `manifold3d` if available. The venv at `/DATA/AppData/hermes/venv` has trimesh+manifold3d but no scipy. |\\n| `docker inspect` shows empty `Config.Labels` | Container was started without labels | Redeploy via `docker run` with `-l` flags |\\n| JSON edit reverted after service restart | `zimaos-app-management` overwrites JSON from memory on shutdown | Stop service first (`sudo systemctl stop zimaos-app-management`), edit JSON, then start |\\n| `title` field shows as dict object, not string | `title` is i18n dict `{\\\"en_US\\\": \\\"AppName\\\"}` | Parse with `.get('en_US', '')`, never cast directly |\\n| App reappears as `v2app` after cleanup | Service re-discovers compose-managed container with `com.docker.compose.*` labels | Redeploy via `docker run` (step 2 of fix pipeline) — compose labels are sticky |\\n| After rebuild + gateway restart, user still sees old UI | **Browser cache.** The browser cached the old HTML/CSS/JS and serves it instead of requesting the new version. Compounding factor: CasaOS loads apps in iframes, which makes cache-busting less visible. | Tell user: **Hard refresh** (`Ctrl+Shift+R` / `Cmd+Shift+R`) or open in **private/incognito window**. The container code is correct (verify with `curl localhost:/`), so there's nothing wrong with the build — it's client-side caching. Do NOT rebuild again; it won't help. |\\n| App UI looks outdated/old after \\\"redeploy\\\" (wrong colors, missing features, old layout) | `docker compose up -d` did NOT rebuild the image. Compose only rebuilds when `--build` is passed or the image tag changed. **Common failure mode:** compose file uses `image: ` directive — compose caches the image tag and `up -d` pulls the stale tagged image even after a separate `docker build`. The container runs old code even though a fresh image exists with a different hash. Verify with `docker exec wc -c /app/frontend/index.html` — if byte counts differ from source, the container has the old image. | **Nuclear fix (always works):** (1) `docker compose down`, (2) `docker rmi :latest`, (3) `docker compose up -d --build` (compose detects missing image, builds fresh). Or use explicit rebuild: `DOCKER_CONFIG=/tmp/docker-config docker build --no-cache -t `, then `docker compose down && docker compose up -d`. **DO NOT** rely on `docker compose build --no-cache` alone when the compose file has an `image:` directive — the tagged image reference can persist in compose's project state. The nuclear `docker rmi` forces compose to build from scratch. Always verify with `docker exec wc -c /app/frontend/index.html` after deploy to confirm the byte count matches the source file. |\\n| `docker compose build` blocked by tool policy (foreground long-lived server) | Build takes 90-180s | See \\\"Docker build blocked\\\" pitfall above — use `background=true` + `notify_on_complete=true`. Combine build+up in one background command: chain `down && build --no-cache && up -d` then `start app-management` and `restart gateway` in a separate foreground command after. |\\n| New `docker run` container not showing in CasaOS Dashboard | `zimaos-app-management` only scans for new containers on startup, not continuously. A freshly started container appears in the `appgrid` API immediately (as type `container`), but doesn't always register in the `installed` list. | **(1)** Stop app-management (`sudo systemctl stop zimaos-app-management`), **(2)** Remove the container's hash-ID entry from `/etc/casaos/app-management.json` while the service is stopped, **(3)** Start app-management (`sudo systemctl start zimaos-app-management`) — it re-scans Docker on start and discovers the container, **(4)** Restart zimaos-gateway (`sudo systemctl restart zimaos-gateway`) to pick up new routes. Also works: `docker stop && docker start && systemctl restart zimaos-app-management`. The container restart forces fresh label reading, and the app-management restart triggers the scan. |\\n| VPN access: user connected via VPN can't reach app | `hostname` was set to LAN IP (e.g. `192.168.178.171`) — client browser over VPN can't resolve that. | Set `hostname=\\\"\\\"` (empty string) — frontend constructs iframe URL using `window.location.hostname` which is the same host used for the dashboard, so it works regardless of LAN, VPN, or remote access. Deploy via v2app compose file (Pattern B) for reliable VPN routing. All official CasaOS apps use empty hostname. |\\n| New `docker run` container not showing in CasaOS Dashboard | zimaos-app-management only scans for new containers on startup, not continuously. A freshly started container appears in the `appgrid` API immediately (as type `container`), but doesn't always register in the `installed` list. | **(1)** Stop app-management (`sudo systemctl stop zimaos-app-management`), **(2)** Remove the container's hash-ID entry from `/etc/casaos/app-management.json` while the service is stopped, **(3)** Start app-management (`sudo systemctl start zimaos-app-management`) — it re-scans Docker on start and discovers the container, **(4)** Restart zimaos-gateway (`sudo systemctl restart zimaos-gateway`) to pick up new routes. Also works: `docker stop && docker start && systemctl restart zimaos-app-management`. The container restart forces fresh label reading, and the app-management restart triggers the scan. |\\n\\n## Reference Apps\\n\\n- **PrintVault** — `/DATA/AppData/hermes/projects/printvault/` — STL library with upload, trimesh analysis, matplotlib thumbnails, tag management. Full blue-glass frontend blueprint at `references/blue-glass-frontend-blueprint.html`.\\n- **DocMaster** — inspiration for port pattern (3000 + Next.js), file-on-HDD storage, optional Basic Auth\\n\", \"path\": \"software-development/zimaos-web-app/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/software-development/zimaos-web-app\", \"linked_files\": {\"references\": [\"references/casaos-dashboard-debugging.md\", \"references/fastapi-sqlite-basic-auth.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"zimaos\", \"web-app\", \"fastapi\", \"html\", \"mobile\"]}}}", "tool_call_id": "call_lszlkmun" }, { "role": "assistant", "content": "Lass mich die Polizze genau lesen.", "reasoning": "The user sent a PDF insurance policy document and asked me to read it carefully to understand how they are protected. But I notice the conversation summary mentions this is actually a continuation - the user's real question is \"Mach es mit Claude Code harness\" (Do it with Claude Code harness). \n\nWait, let me re-read. The active task says the user wants me to create a CallKeep app using Claude Code. The document reference at the top is just context compaction stuff. The actual current task is building the CallKeep app.\n\nBut looking more carefully at the conversation flow:\n1. Earlier: user sent a PDF and asked \"Bitte genau und aufmerksam lesen: wie bin ich hier geschützt?\" (Please read carefully: how am I protected here?)\n2. Then: \"Mach es mit Claude Code harness\" (Do it with Claude Code harness)\n3. I started delegating to Claude Code with delegate_task\n4. Claude Code timed out after creating Dockerfile and icon.svg, but no frontend/index.html\n5. I created the frontend directory\n\nSo the current state is: Dockerfile and icon.svg are done, frontend directory exists but index.html was never created. I need to write the frontend/index.html now.\n\nWait, actually I need to re-read this more carefully. The compaction summary says \"Your current task is identified in the '## Active Task' section of the summary — resume exactly from there.\" And the active task is about the CallKeep app. But the very last user message is: \"Bitte genau und aufmerksam lesen: wie bin ich hier geschützt?\" \n\nHmm, the document title is \"2025-02-11_polizze.pdf\" which is an insurance policy. The user wants to know how they're protected. But the active task is about CallKeep app.\n\nI think the PDF question was from the earlier context that got compacted, and I already answered it. The current task is to continue building the CallKeep app - specifically, write the frontend/index.html that Claude Code failed to create.\n\nActually wait - looking again more carefully at the very first line of the prompt: \"[The user sent a document: '2025-02-11_polizze.pdf'. The file is saved at: /DATA/.hermes/cache/documents/doc_e4f4914cd4ff_2025-02-11_polizze.pdf. Ask the user what they'd like you to do with it.]\"\n\nThen the user says: \"Bitte genau und aufmerksam lesen: wie bin ich hier geschützt?\"\n\nSo this IS a new request about the insurance policy. The user wants me to read the PDF and tell them how they are protected/insured. All the CallKeep stuff is from a different/prior context that got compacted in.\n\nLet me just focus on the user's actual current request: read the PDF and explain the insurance coverage.", "finish_reason": "tool_calls", "reasoning_content": "The user sent a PDF insurance policy document and asked me to read it carefully to understand how they are protected. But I notice the conversation summary mentions this is actually a continuation - the user's real question is \"Mach es mit Claude Code harness\" (Do it with Claude Code harness). \n\nWait, let me re-read. The active task says the user wants me to create a CallKeep app using Claude Code. The document reference at the top is just context compaction stuff. The actual current task is building the CallKeep app.\n\nBut looking more carefully at the conversation flow:\n1. Earlier: user sent a PDF and asked \"Bitte genau und aufmerksam lesen: wie bin ich hier geschützt?\" (Please read carefully: how am I protected here?)\n2. Then: \"Mach es mit Claude Code harness\" (Do it with Claude Code harness)\n3. I started delegating to Claude Code with delegate_task\n4. Claude Code timed out after creating Dockerfile and icon.svg, but no frontend/index.html\n5. I created the frontend directory\n\nSo the current state is: Dockerfile and icon.svg are done, frontend directory exists but index.html was never created. I need to write the frontend/index.html now.\n\nWait, actually I need to re-read this more carefully. The compaction summary says \"Your current task is identified in the '## Active Task' section of the summary — resume exactly from there.\" And the active task is about the CallKeep app. But the very last user message is: \"Bitte genau und aufmerksam lesen: wie bin ich hier geschützt?\" \n\nHmm, the document title is \"2025-02-11_polizze.pdf\" which is an insurance policy. The user wants to know how they're protected. But the active task is about CallKeep app.\n\nI think the PDF question was from the earlier context that got compacted, and I already answered it. The current task is to continue building the CallKeep app - specifically, write the frontend/index.html that Claude Code failed to create.\n\nActually wait - looking again more carefully at the very first line of the prompt: \"[The user sent a document: '2025-02-11_polizze.pdf'. The file is saved at: /DATA/.hermes/cache/documents/doc_e4f4914cd4ff_2025-02-11_polizze.pdf. Ask the user what they'd like you to do with it.]\"\n\nThen the user says: \"Bitte genau und aufmerksam lesen: wie bin ich hier geschützt?\"\n\nSo this IS a new request about the insurance policy. The user wants me to read the PDF and tell them how they are protected/insured. All the CallKeep stuff is from a different/prior context that got compacted in.\n\nLet me just focus on the user's actual current request: read the PDF and explain the insurance coverage.", "tool_calls": [ { "id": "call_26r4w8ns", "call_id": "call_26r4w8ns", "response_item_id": "fc_26r4w8ns", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"ocr-and-documents\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"ocr-and-documents\", \"description\": \"Extract text from PDFs/scans (pymupdf, marker-pdf).\", \"tags\": [\"PDF\", \"Documents\", \"Research\", \"Arxiv\", \"Text-Extraction\", \"OCR\"], \"related_skills\": [\"powerpoint\"], \"content\": \"---\\nname: ocr-and-documents\\ndescription: \\\"Extract text from PDFs/scans (pymupdf, marker-pdf).\\\"\\nversion: 2.3.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [PDF, Documents, Research, Arxiv, Text-Extraction, OCR]\\n related_skills: [powerpoint]\\n---\\n\\n# PDF & Document Extraction\\n\\nFor DOCX: use `python-docx` (parses actual document structure, far better than OCR).\\nFor PPTX: see the `powerpoint` skill (uses `python-pptx` with full slide/notes support).\\nThis skill covers **PDFs and scanned documents**.\\n\\n## Step 1: Remote URL Available?\\n\\nIf the document has a URL, **always try `web_extract` first**:\\n\\n```\\nweb_extract(urls=[\\\"https://arxiv.org/pdf/2402.03300\\\"])\\nweb_extract(urls=[\\\"https://example.com/report.pdf\\\"])\\n```\\n\\nThis handles PDF-to-markdown conversion via Firecrawl with no local dependencies.\\n\\nOnly use local extraction when: the file is local, web_extract fails, or you need batch processing.\\n\\n## Step 2: Choose Local Extractor\\n\\n| Feature | pymupdf (~25MB) | marker-pdf (~3-5GB) |\\n|---------|-----------------|---------------------|\\n| **Text-based PDF** | ✅ | ✅ |\\n| **Scanned PDF (OCR)** | ❌ | ✅ (90+ languages) |\\n| **Tables** | ✅ (basic) | ✅ (high accuracy) |\\n| **Equations / LaTeX** | ❌ | ✅ |\\n| **Code blocks** | ❌ | ✅ |\\n| **Forms** | ❌ | ✅ |\\n| **Headers/footers removal** | ❌ | ✅ |\\n| **Reading order detection** | ❌ | ✅ |\\n| **Images extraction** | ✅ (embedded) | ✅ (with context) |\\n| **Images → text (OCR)** | ❌ | ✅ |\\n| **EPUB** | ✅ | ✅ |\\n| **Markdown output** | ✅ (via pymupdf4llm) | ✅ (native, higher quality) |\\n| **Install size** | ~25MB | ~3-5GB (PyTorch + models) |\\n| **Speed** | Instant | ~1-14s/page (CPU), ~0.2s/page (GPU) |\\n\\n**Decision**: Use pymupdf unless you need OCR, equations, forms, or complex layout analysis.\\n\\nIf the user needs marker capabilities but the system lacks ~5GB free disk:\\n> \\\"This document needs OCR/advanced extraction (marker-pdf), which requires ~5GB for PyTorch and models. Your system has [X]GB free. Options: free up space, provide a URL so I can use web_extract, or I can try pymupdf which works for text-based PDFs but not scanned documents or equations.\\\"\\n\\n---\\n\\n## pymupdf (lightweight)\\n\\n```bash\\npip install pymupdf pymupdf4llm\\n```\\n\\n**Via helper script**:\\n```bash\\npython scripts/extract_pymupdf.py document.pdf # Plain text\\npython scripts/extract_pymupdf.py document.pdf --markdown # Markdown\\npython scripts/extract_pymupdf.py document.pdf --tables # Tables\\npython scripts/extract_pymupdf.py document.pdf --images out/ # Extract images\\npython scripts/extract_pymupdf.py document.pdf --metadata # Title, author, pages\\npython scripts/extract_pymupdf.py document.pdf --pages 0-4 # Specific pages\\n```\\n\\n**Inline**:\\n```bash\\npython3 -c \\\"\\nimport pymupdf\\ndoc = pymupdf.open('document.pdf')\\nfor page in doc:\\n print(page.get_text())\\n\\\"\\n```\\n\\n---\\n\\n## marker-pdf (high-quality OCR)\\n\\n```bash\\n# Check disk space first\\npython scripts/extract_marker.py --check\\n\\npip install marker-pdf\\n```\\n\\n**Via helper script**:\\n```bash\\npython scripts/extract_marker.py document.pdf # Markdown\\npython scripts/extract_marker.py document.pdf --json # JSON with metadata\\npython scripts/extract_marker.py document.pdf --output_dir out/ # Save images\\npython scripts/extract_marker.py scanned.pdf # Scanned PDF (OCR)\\npython scripts/extract_marker.py document.pdf --use_llm # LLM-boosted accuracy\\n```\\n\\n**CLI** (installed with marker-pdf):\\n```bash\\nmarker_single document.pdf --output_dir ./output\\nmarker /path/to/folder --workers 4 # Batch\\n```\\n\\n---\\n\\n## Arxiv Papers\\n\\n```\\n# Abstract only (fast)\\nweb_extract(urls=[\\\"https://arxiv.org/abs/2402.03300\\\"])\\n\\n# Full paper\\nweb_extract(urls=[\\\"https://arxiv.org/pdf/2402.03300\\\"])\\n\\n# Search\\nweb_search(query=\\\"arxiv GRPO reinforcement learning 2026\\\")\\n```\\n\\n## Split, Merge & Search\\n\\npymupdf handles these natively — use `execute_code` or inline Python:\\n\\n```python\\n# Split: extract pages 1-5 to a new PDF\\nimport pymupdf\\ndoc = pymupdf.open(\\\"report.pdf\\\")\\nnew = pymupdf.open()\\nfor i in range(5):\\n new.insert_pdf(doc, from_page=i, to_page=i)\\nnew.save(\\\"pages_1-5.pdf\\\")\\n```\\n\\n```python\\n# Merge multiple PDFs\\nimport pymupdf\\nresult = pymupdf.open()\\nfor path in [\\\"a.pdf\\\", \\\"b.pdf\\\", \\\"c.pdf\\\"]:\\n result.insert_pdf(pymupdf.open(path))\\nresult.save(\\\"merged.pdf\\\")\\n```\\n\\n```python\\n# Search for text across all pages\\nimport pymupdf\\ndoc = pymupdf.open(\\\"report.pdf\\\")\\nfor i, page in enumerate(doc):\\n results = page.search_for(\\\"revenue\\\")\\n if results:\\n print(f\\\"Page {i+1}: {len(results)} match(es)\\\")\\n print(page.get_text(\\\"text\\\"))\\n```\\n\\nNo extra dependencies needed — pymupdf covers split, merge, search, and text extraction in one package.\\n\\n---\\n\\n## Pitfalls\\n\\n### Unicode/umlaut filenames\\n\\nFiles with `ü`, `ä`, `ö`, `ß` etc. may silently fail when passed as string literals, even if the string looks correct. pymupdf will raise `FileNotFoundError` even though the file exists. **Fix**: use `os.listdir()` / `glob.glob()` to discover the file, or use `os.scandir()` and pass the resolved path object.\\n\\n```python\\nimport os, pymupdf\\nd = '/path/to/docs/'\\nfor f in os.listdir(d):\\n if 'keyword' in f: # match without literal unicode\\n doc = pymupdf.open(os.path.join(d, f))\\n```\\n\\n### pip not on PATH\\n\\nOn many systems `pip` is not available but `python3 -m pip` works. Always try `python3 -m pip install ` first, fall back to bare `pip` only if that fails.\\n\\n---\\n\\n## Notes\\n\\n- `web_extract` is always first choice for URLs\\n- pymupdf is the safe default — instant, no models, works everywhere\\n- marker-pdf is for OCR, scanned docs, equations, complex layouts — install only when needed\\n- Both helper scripts accept `--help` for full usage\\n- marker-pdf downloads ~2.5GB of models to `~/.cache/huggingface/` on first use\\n- For Word docs: `pip install python-docx` (better than OCR — parses actual structure)\\n- For PowerPoint: see the `powerpoint` skill (uses python-pptx)\\n- **Document chain analysis**: insurance policies, contracts, and TOS often reference external binding documents (ARB, ERB, AGB, etc.) that contain the actual rules. See `references/document-chain-analysis.md` for the workflow to trace and extract referenced documents.\\n\", \"path\": \"productivity/ocr-and-documents/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/productivity/ocr-and-documents\", \"linked_files\": {\"references\": [\"references/document-chain-analysis.md\"], \"scripts\": [\"scripts/extract_marker.py\", \"scripts/extract_pymupdf.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"PDF\", \"Documents\", \"Research\", \"Arxiv\", \"Text-Extraction\", \"OCR\"], \"related_skills\": [\"powerpoint\"]}}}", "tool_call_id": "call_26r4w8ns" }, { "role": "assistant", "content": "", "reasoning": "The user wants me to carefully read a German insurance policy PDF (Polizze) and analyze what coverage/protection they have. Let me first extract the text from the PDF.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to carefully read a German insurance policy PDF (Polizze) and analyze what coverage/protection they have. Let me first extract the text from the PDF.", "tool_calls": [ { "id": "call_fifo4003", "call_id": "call_fifo4003", "response_item_id": "fc_fifo4003", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python3 -c \\\"\\nimport pymupdf\\ndoc = pymupdf.open('/DATA/.hermes/cache/documents/doc_e4f4914cd4ff_2025-02-11_polizze.pdf')\\nfor page in doc:\\n print(page.get_text())\\n\\\"\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "tool_call_id": "call_fifo4003", "content": "Tool 'terminal' does not exist. Available tools: memory, skill_manage, skill_view, skills_list" }, { "role": "assistant", "content": "", "reasoning": "The user wants me to analyze their insurance policy document. Let me extract the text from the PDF and provide a thorough analysis of their coverage.\n\nLet me first extract the text from the PDF using pymupdf, then analyze it carefully.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to analyze their insurance policy document. Let me extract the text from the PDF and provide a thorough analysis of their coverage.\n\nLet me first extract the text from the PDF using pymupdf, then analyze it carefully.", "tool_calls": [ { "id": "call_mwvgv7zv", "call_id": "call_mwvgv7zv", "response_item_id": "fc_mwvgv7zv", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/DATA/.hermes/cache/documents/doc_e4f4914cd4ff_2025-02-11_polizze.pdf\"}" } } ] }, { "role": "tool", "name": "read_file", "tool_call_id": "call_mwvgv7zv", "content": "Tool 'read_file' does not exist. Available tools: memory, skill_manage, skill_view, skills_list" }, { "role": "assistant", "content": "Leider kann ich die PDF-Datei aktuell nicht direkt auslesen — mir stehen in diesem Kontext nur `memory`, `skill_manage`, `skill_view` und `skills_list` zur Verfügung, aber keine Terminal- oder Datei-Lese-Tools.\n\nDamit ich deine Polizze analysieren kann, hast du zwei Optionen:\n\n1. **Text hier einfügen** — kopiere den relevanten Inhalt aus dem PDF und schick ihn mir hier. Ich lese dann genau durch, welche Deckungen, Summen und Ausschlüsse drin stehen.\n\n2. **Tool-Zugriff herstellen** — wenn du mir wieder `terminal` und `read_file` freischaltest, kann ich das PDF direkt mit pymupdf extrahieren und analysieren.\n\nWas passt dir besser?", "reasoning": "The user wants me to analyze a PDF insurance policy document. Let me look at what tools I actually have available: memory, skill_manage, skill_view, skills_list.\n\nI don't have terminal or read_file tools in this context. Let me check the skills to see if there's a way to extract PDF content.\n\nI already loaded the ocr-and-documents skill which shows how to use pymupdf. But I can't run terminal commands. Let me think about what tools I have...\n\nI only have: memory, skill_manage, skill_view, skills_list\n\nI don't have any way to execute code or read files directly. Let me check if there are any other relevant skills that might help, or if I need to tell the user I can't extract the PDF directly.\n\nWait, let me re-read. The conversation says I should process tool results - but there are no previous tool results to process. The user sent a PDF and wants me to analyze their insurance coverage. But I only have 4 tools available (memory, skill_manage, skill_view, skills_list), none of which can read files or execute terminal commands.\n\nActually wait - let me re-read the system prompt more carefully. It says \"You have access to a set of tools to help answer the user's question.\" and lists memory, skill_manage, skill_view, skills_list. But maybe I missed something. Let me look again...\n\nNo, those are truly the only tools listed. So I can't extract PDF content directly.\n\nBut the user is asking me to read the insurance policy (Polizze) and tell them what protection they have. I should be honest and tell them I can't directly read the PDF file with my current tools, and suggest alternatives.\n\nActually wait - I just noticed something. The user sent a document. The system says \"The file is saved at: /DATA/.hermes/cache/documents/doc_e4f4914cd4ff_2025-02-11_polizze.pdf. Ask the user what they'd like you to do with it.\" \n\nBut then the user says: \"Bitte genau und aufmerksam lesen: wie bin ich hier geschützt?\"\n\nThe user is asking me to read the insurance document and explain their coverage. But I don't have terminal or file reading tools available. I only have memory, skill_manage, skill_view, skills_list.\n\nHmm, I need to be honest with the user. I can't extract PDF content with my current tool set. I should explain this and suggest they could:\n1. Copy-paste the text from the PDF\n2. Or I could help them set up the right tools\n\nWait, but something is off. The conversation history mentions I was using terminal and read_file commands earlier in the session. But now those tools aren't available?\n\nLet me just be straightforward: I don't have access to terminal or file reading tools in this current context, so I can't extract and analyze the PDF. I should tell the user this.\n\nActually, wait - maybe I should check the skills more carefully. The skills_list might reveal something useful.\n\nLet me tell the user honestly that I can't read the PDF directly with the tools currently available to me, and ask them to either paste the text or to give me access to terminal/file reading capabilities.", "finish_reason": "stop", "reasoning_content": "The user wants me to analyze a PDF insurance policy document. Let me look at what tools I actually have available: memory, skill_manage, skill_view, skills_list.\n\nI don't have terminal or read_file tools in this context. Let me check the skills to see if there's a way to extract PDF content.\n\nI already loaded the ocr-and-documents skill which shows how to use pymupdf. But I can't run terminal commands. Let me think about what tools I have...\n\nI only have: memory, skill_manage, skill_view, skills_list\n\nI don't have any way to execute code or read files directly. Let me check if there are any other relevant skills that might help, or if I need to tell the user I can't extract the PDF directly.\n\nWait, let me re-read. The conversation says I should process tool results - but there are no previous tool results to process. The user sent a PDF and wants me to analyze their insurance coverage. But I only have 4 tools available (memory, skill_manage, skill_view, skills_list), none of which can read files or execute terminal commands.\n\nActually wait - let me re-read the system prompt more carefully. It says \"You have access to a set of tools to help answer the user's question.\" and lists memory, skill_manage, skill_view, skills_list. But maybe I missed something. Let me look again...\n\nNo, those are truly the only tools listed. So I can't extract PDF content directly.\n\nBut the user is asking me to read the insurance policy (Polizze) and tell them what protection they have. I should be honest and tell them I can't directly read the PDF file with my current tools, and suggest alternatives.\n\nActually wait - I just noticed something. The user sent a document. The system says \"The file is saved at: /DATA/.hermes/cache/documents/doc_e4f4914cd4ff_2025-02-11_polizze.pdf. Ask the user what they'd like you to do with it.\" \n\nBut then the user says: \"Bitte genau und aufmerksam lesen: wie bin ich hier geschützt?\"\n\nThe user is asking me to read the insurance document and explain their coverage. But I don't have terminal or file reading tools available. I only have memory, skill_manage, skill_view, skills_list.\n\nHmm, I need to be honest with the user. I can't extract PDF content with my current tool set. I should explain this and suggest they could:\n1. Copy-paste the text from the PDF\n2. Or I could help them set up the right tools\n\nWait, but something is off. The conversation history mentions I was using terminal and read_file commands earlier in the session. But now those tools aren't available?\n\nLet me just be straightforward: I don't have access to terminal or file reading tools in this current context, so I can't extract and analyze the PDF. I should tell the user this.\n\nActually, wait - maybe I should check the skills more carefully. The skills_list might reveal something useful.\n\nLet me tell the user honestly that I can't read the PDF directly with the tools currently available to me, and ask them to either paste the text or to give me access to terminal/file reading capabilities." } ] }