{
  "session_id": "20260510_234727_15f924",
  "model": "kimi-k2.6",
  "base_url": "https://ollama.com/v1",
  "platform": "telegram",
  "session_start": "2026-05-10T23:47:27.671692",
  "last_updated": "2026-05-10T23:48:07.593144",
  "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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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) [45% — 1,001/2,200 chars]\n══════════════════════════════════════════════\nKiwi-Config: provider 'custom', model kimi-k2.6, base_url https://ollama.com/v1. Hermes home: /DATA/AppData/hermes. System-Details: siehe Skill `zimaos-environment`.\n§\nPersonality: hobbies: self-hosting, history/politics/philosophy, family time.         ertainer/public speaker. Perfect day: early, productive, breakfast with Talla, nature, family. Values loyalty/humor. Forgiving, not resentful. Seasons: spring/autumn.\n§\nKiwi-Präferenzen: siehe Skill `kiwi-operational-rules`.\n§\nOperational rules: siehe Skill `kiwi-operational-rules`.\n§\nKiwis interne Regel: Verify Before Claim — nie behaupten etwas fehlt/geht nicht ohne vorher terminal/search/read_file zu prüfen.\n§\nZeyds Personality: siehe Skill `user-persona`.\n§\nUser created a pixel-art wizard kiwi avatar for Kiwi. Brown fuzzy kiwi bird with green wizard hat, golden star, gold spectacles, green cape with golden K-brooch, holding SCHEDULE notebook and magical feather quill. Image path: /DATA/AppData/hermes/cache/images/img_79630f0814fb.jpg\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [78% — 1,075/1,375 chars]\n══════════════════════════════════════════════\nAhmed Zeyd: German, non-technical, very short efficient answers only. No repetition/redundancy. Ask before spawning Codex/external agents.\n§\nAhmed Zeyd Aytac, 29.11.1999 Wien. Turkish family, Muslim. Full details: Skill `user-persona`.\n§\nUser is non-technical about Linux/system internals. Expects proactive explanations for storage/RAM issues, not just error dumps. Wants Kiwi to autonomously manage resources sensibly without being told every time.\n§\nImportant people: siehe Skill `user-persona` für Opa, Talla, Fifo.\n§\nUser is impatient with long iteration loops on design/modeling tasks. Expects faster convergence and fewer back-and-forth rounds. Better to ask precise requirement questions upfront for 3D models.\n§\nKiwi loads all available skills at every session start via skills_list. Never claim something is missing without checking skills first.\n§\nUser values fast turnaround and minimal iterations. Dislikes long thinking pauses and many back-and-forth corrections. Expects me to learn from mistakes immediately and apply lessons next time without being reminded.\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<available_skills>\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    - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n    - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n    - opencode: Delegate coding to OpenCode CLI (features, PR review).\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    - bambu-3d-design: 3D-Modelle für Bambu Lab A1 Mini erstellen. Kein OpenSCAD...\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    - image-to-3d: Bilder in druckbare 3D-Modelle umwandeln via AI (Hunyuan3...\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    - headless-browser-automation: Running real browser automation (Playwright, Selenium) on...\n    - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n    - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n    - kiwi-browser-setup: Headless Chromium Browser im Docker-Container auf ZimaOS ...\n    - local-transcription-workflow: Complete local video/audio transcription workflow on Zima...\n    - server-environment-setup: Installing and configuring CLI tools, Python packages, an...\n    - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n    - zimaos-environment: Vollständiger System-Kontext für ZimaOS/CasaOS — alle tec...\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    - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n    - spotify: Spotify: play, search, queue, manage playlists and devices.\n    - youtube-content: YouTube transcripts to summaries, threads, blogs.\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    - concise-user-interaction: Keep responses short, avoid repetition, and expand only w...\n    - google-calendar-stdlib: Access Google Calendar API via Python stdlib only (no pip...\n    - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n    - kiwi-operational-rules: Kiwis verhaltensregeln, Limits, Arbeitszeiten, Proaktivit...\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    - user-persona: Ahmed Zeyd — Präferenzen, Regeln, Persönlichkeit, Familie...\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    - meshtastic-project: Meshtastic DIY Radio Projekt — Hardware, Software, Recher...\n    - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n  self-hosted-api-clients:\n    - self-hosted-api-clients: Building custom CLI wrappers for personal apps and web se...\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    - agent-onboarding: Onboard a user to a personalized AI assistant: gather pro...\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    - session-context-loader: Automatischer Kontext-Loader — bei jeder neuen Session di...\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    - verify-before-claim: Interne Regel für Kiwi — niemals behaupten etwas existier...\n    - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n  yuanbao:\n    - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n</available_skills>\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Sunday, May 10, 2026 11:47 PM\nModel: kimi-k2.6\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=<umbrella>` 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 <name>`. 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": 26,
  "messages": [
    {
      "role": "user",
      "content": "Recherchiere mal Gstack, was ist das und was kann das?"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "functions.search_files:0",
          "call_id": "functions.search_files:0",
          "response_item_id": "fc_functionssearch_files0",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"pattern\":\"gstack|GStack\",\"target\":\"content\",\"limit\":20}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "Der User fragt nach \"Gstack\". Ich kenne das nicht direkt. Lass mich kurz recherchieren.",
      "reasoning_content": "Der User fragt nach \"Gstack\". Ich kenne das nicht direkt. Lass mich kurz recherchieren."
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "functions.search_files:0"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "functions.terminal:1",
          "call_id": "functions.terminal:1",
          "response_item_id": "fc_functionsterminal1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"timeout\":30,\"command\":\"curl -sL \\\"https://www.google.com/search?q=GStack+what+is\\\" | sed 's/\\u003c[^\\u003e]*\\u003e//g' | tr -s ' \\\\n' | head -200\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "Die Suche auf dem lokalen System hat nichts gefunden. Ich muss jetzt online recherchieren. Da ich kein \"web_search\" Tool habe (ich kann nur über den Browser surfen mit `browser`, aber das ist nicht direkt verfügbar), muss ich über `terminal` nachschauen oder den Browser verwenden. Lass mich prüfen, welche Tools ich habe. Ich habe `search` und `web` nicht direkt, aber ich habe `terminal` wo ich `curl` verwenden kann.\n\nIch kann `terminal` mit `curl` oder `w3m` verwenden, um nach GStack zu suchen. Lass mich das versuchen.",
      "reasoning_content": "Die Suche auf dem lokalen System hat nichts gefunden. Ich muss jetzt online recherchieren. Da ich kein \"web_search\" Tool habe (ich kann nur über den Browser surfen mit `browser`, aber das ist nicht direkt verfügbar), muss ich über `terminal` nachschauen oder den Browser verwenden. Lass mich prüfen, welche Tools ich habe. Ich habe `search` und `web` nicht direkt, aber ich habe `terminal` wo ich `curl` verwenden kann.\n\nIch kann `terminal` mit `curl` oder `w3m` verwenden, um nach GStack zu suchen. Lass mich das versuchen."
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b.toString()}function T(a){var b=eid,c=new K;M(c,\\\"sg_ss\\\",encodeURIComponent(a));M(c,\\\"sei\\\",b);U(c.toString())}\\nfunction ka(a){if(window.prs){V(\\\"psrt\\\");sctm&&J();var b=S();window.prs(b,a).catch(function(){T(a)})}else T(a)}function U(a){V(\\\"psrt\\\");sctm&&J();window.prs?window.prs(a).catch(function(){W(a)}):W(a)}\\nfunction W(a){if(window.pr)window.pr(a);else{a:{var b=b===void 0?fa:b;if(a instanceof P)b=a;else{for(var c=0;c<b.length;++c){var h=b[c];if(h instanceof Q&&h.N(a)){b=new P(a);break a}}b=void 0}}a=location;if(b instanceof P)if(b instanceof P)b=b.i;else throw Error(\\\"e\\\");else b=ha.test(b)?b:void 0;b!==void 0&&a.replace(b)}}function X(a){navigator.sendBeacon(\\\"/gen_204?cad=sg_b_e&e=\\\"+a,\\\"\\\")}\\nfunction la(){V(\\\"bsst\\\");ia(function(a){V(\\\"bset\\\");var b=challenge_version,c=cbs;a=b>0?\\\"B.\\\"+b+\\\".\\\"+c+\\\".\\\"+a:a;b=new Date;b.setSeconds(b.getSeconds()+(Number(ce)||300));c=\\\"SG_SS=\\\"+a;var h=document.cookie.length+c.length;r&&(h(function(){var cssId='yvlrue';var eid='M_sAarW4EJTg7_UP-p_4gAE';(function(){setTimeout(function(){document.getElementById(cssId).setAttribute(\\\"style\\\",\\\"\\\");navigator.sendBeacon(\\\"/gen_204?cad=sg_trbl&ei=\\\"+eid,\\\"\\\")},2E3);}).call(this);})();div{font-family:sans-serif;color:#545454;background-color:#fff}a{color:#1558d6;font-size:inherit;text-decoration:none}a:visited{color:#681da8}If you're having trouble accessing Google Search, please&nbsp;click here, or send&nbsp;feedback.\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "functions.terminal:1"
    },
    {
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      "content": "",
      "tool_calls": [
        {
          "id": "functions.terminal:2",
          "call_id": "functions.terminal:2",
          "response_item_id": "fc_functionsterminal2",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"curl -sL \\\"https://html.duckduckgo.com/html/?q=GStack\\\" | sed 's/\\u003c[^\\u003e]*\\u003e//g' | tr -s ' \\\\n' | head -300\",\"timeout\":30}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "The user asked about \"Gstack\". The terminal output from a Google search is heavily obfuscated/minified JavaScript and not useful. I need to search more directly for \"GStack\". It might be a specific software or company. I will use a web search via a different method or maybe look at GitHub or other sources. Since I have no direct web search tool that gives clean results, I can try using curl with a search engine or directly query a known source. Alternatively, I can use `search_files` for \"gstack\" in the local filesystem, but that likely won't yield anything.\n\nLet me try to use curl to access a more readable source like the GitHub API or just search Google with a simpler query string and parse the output differently, or maybe use `search_files` on the web? No, `search_files` only searches local files.\n\nI could try `curl -sL \"https://www.google.com/search?q=GStack\"` but Google returns obfuscated JS. I could try DuckDuckGo HTML version: `https://html.duckduckgo.com/html/?q=GStack`. That usually returns cleaner HTML.",
      "reasoning_content": "The user asked about \"Gstack\". The terminal output from a Google search is heavily obfuscated/minified JavaScript and not useful. I need to search more directly for \"GStack\". It might be a specific software or company. I will use a web search via a different method or maybe look at GitHub or other sources. Since I have no direct web search tool that gives clean results, I can try using curl with a search engine or directly query a known source. Alternatively, I can use `search_files` for \"gstack\" in the local filesystem, but that likely won't yield anything.\n\nLet me try to use curl to access a more readable source like the GitHub API or just search Google with a simpler query string and parse the output differently, or maybe use `search_files` on the web? No, `search_files` only searches local files.\n\nI could try `curl -sL \"https://www.google.com/search?q=GStack\"` but Google returns obfuscated JS. I could try DuckDuckGo HTML version: `https://html.duckduckgo.com/html/?q=GStack`. That usually returns cleaner HTML."
    },
    {
      "role": "tool",
      "content": "{\"output\": \"-->\\n \\n \\n \\n \\n \\n DuckDuckGo\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n DuckDuckGo\\n \\n \\n \\n \\n \\n \\n \\n \\n Unfortunately, bots use DuckDuckGo too.\\n Please complete the following challenge to confirm this search was made by a human.\\n Select all squares containing a duck:\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n Submit\\n \\n \\n Images not loading?\\n \\n Please email the following code to:\\n error-lite@duckduckgo.com\\n Code: d4cd0dabcf4caa22ad92fab40844c786\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n here. //-->\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "functions.terminal:2"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "functions.execute_code:3",
          "call_id": "functions.execute_code:3",
          "response_item_id": "fc_functionsexecute_code3",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"import subprocess, re, json, sys\\n\\ndef fetch(url):\\n    try:\\n        r = subprocess.run(['curl','-sL','-A','Mozilla/5.0','--max-time','15',url], capture_output=True, text=True)\\n        return r.stdout\\n    except Exception as e:\\n        return str(e)\\n\\nurls = [\\n    \\\"https://en.wikipedia.org/wiki/Special:Search?search=GStack\\u0026go=Go\\\",\\n    \\\"https://github.com/search?q=GStack\\u0026type=repositories\\\",\\n    \\\"https://gstack.dev\\\",\\n    \\\"https://www.gstack.com\\\",\\n    \\\"https://pypi.org/search/?q=gstack\\\",\\n]\\n\\nresults = {}\\nfor u in urls:\\n    txt = fetch(u)\\n    # truncate for safety\\n    results[u] = txt[:3000]\\n\\n# print summary\\nfor u,txt in results.items():\\n    print(f\\\"=== {u} ===\\\")\\n    print(txt[:1200])\\n    print(\\\"\\\\n\\\")\\n\"}"
          }
        }
      ],
      "finish_reason": "tool_calls",
      "reasoning": "DuckDuckGo hat einen Bot-Check. Google war nicht hilfreich. Ich sollte einen anderen Ansatz wählen. \n\nDa ich auf ZimaOS arbeite und möglicherweise Ollama / lokale LLMs laufen habe, und \"GStack\" klingt nach einer Stack-basierten Software, werde ich versuchen, mit `curl` auf eine API oder Website zuzugreifen, die expliziter ist.\n\nAlternative Ideen:\n1. `curl -s https://github.com/search?q=GStack` oder spezifische Repos\n2. `pip search gstack` (wenn es ein Python-Paket ist)\n3. `npm search gstack` (wenn es ein Node-Paket ist)\n4. Direkt `https://gstack.dev` oder `https://gstack.com` aufrufen\n5. Wikipedia über `https://en.wikipedia.org/wiki/Special:Search?search=GStack`\n\nIch probiere es mit Wikipedia und direkt mit gstack.dev bzw. einer GitHub-Suche. Ich mache das parallel mit execute_code für schnelleren Zugriff.",
      "reasoning_content": "DuckDuckGo hat einen Bot-Check. Google war nicht hilfreich. Ich sollte einen anderen Ansatz wählen. \n\nDa ich auf ZimaOS arbeite und möglicherweise Ollama / lokale LLMs laufen habe, und \"GStack\" klingt nach einer Stack-basierten Software, werde ich versuchen, mit `curl` auf eine API oder Website zuzugreifen, die expliziter ist.\n\nAlternative Ideen:\n1. `curl -s https://github.com/search?q=GStack` oder spezifische Repos\n2. `pip search gstack` (wenn es ein Python-Paket ist)\n3. `npm search gstack` (wenn es ein Node-Paket ist)\n4. Direkt `https://gstack.dev` oder `https://gstack.com` aufrufen\n5. Wikipedia über `https://en.wikipedia.org/wiki/Special:Search?search=GStack`\n\nIch probiere es mit Wikipedia und direkt mit gstack.dev bzw. einer GitHub-Suche. Ich mache das parallel mit execute_code für schnelleren Zugriff."
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"=== https://en.wikipedia.org/wiki/Special:Search?search=GStack&go=Go ===\\n<!DOCTYPE html>\\n<html class=\\\"client-nojs vector-feature-language-in-header-enabled vector-feature-language-in-main-menu-disabled vector-feature-language-in-main-page-header-disabled vector-feature-page-tools-pinned-disabled vector-feature-toc-pinned-clientpref-1 vector-feature-main-menu-pinned-disabled vector-feature-limited-width-clientpref-1 vector-feature-limited-width-content-disabled vector-feature-custom-font-size-clientpref--excluded vector-feature-appearance-pinned-clientpref-1 skin-theme-clientpref-day vector-sticky-header-enabled vector-toc-not-available skin-theme-clientpref-thumb-standard\\\" lang=\\\"en\\\" dir=\\\"ltr\\\">\\n<head>\\n<meta charset=\\\"UTF-8\\\">\\n<title>GStack - Search results - Wikipedia</title>\\n<script>(function(){var className=\\\"client-js vector-feature-language-in-header-enabled vector-feature-language-in-main-menu-disabled vector-feature-language-in-main-page-header-disabled vector-feature-page-tools-pinned-disabled vector-feature-toc-pinned-clientpref-1 vector-feature-main-menu-pinned-disabled vector-feature-limited-width-clientpref-1 vector-feature-limited-width-content-disabled vector-feature-custom-font-size-clientpref--excluded vector-feature-appearance-pinned-clientp\\n\\n\\n=== https://github.com/search?q=GStack&type=repositories ===\\n\\n\\n<!DOCTYPE html>\\n<html\\n  lang=\\\"en\\\"\\n  \\n  data-color-mode=\\\"auto\\\" data-light-theme=\\\"light\\\" data-dark-theme=\\\"dark\\\"\\n  data-a11y-animated-images=\\\"system\\\" data-a11y-link-underlines=\\\"true\\\"\\n  \\n  >\\n\\n\\n\\n\\n  <head>\\n    <meta charset=\\\"utf-8\\\">\\n  <link rel=\\\"dns-prefetch\\\" href=\\\"https://github.githubassets.com\\\">\\n  <link rel=\\\"dns-prefetch\\\" href=\\\"https://avatars.githubusercontent.com\\\">\\n  <link rel=\\\"dns-prefetch\\\" href=\\\"https://github-cloud.s3.amazonaws.com\\\">\\n  <link rel=\\\"dns-prefetch\\\" href=\\\"https://user-images.githubusercontent.com/\\\">\\n  <link rel=\\\"preconnect\\\" href=\\\"https://github.githubassets.com\\\" crossorigin>\\n  <link rel=\\\"preconnect\\\" href=\\\"https://avatars.githubusercontent.com\\\">\\n\\n  \\n\\n\\n  <link crossorigin=\\\"anonymous\\\" media=\\\"all\\\" rel=\\\"stylesheet\\\" href=\\\"https://github.githubassets.com/assets/light-2ff56e1b36116ee2.css\\\" /><link crossorigin=\\\"anonymous\\\" media=\\\"all\\\" rel=\\\"stylesheet\\\" href=\\\"https://github.githubassets.com/assets/light_high_contrast-f7f95d7633592089.css\\\" /><link crossorigin=\\\"anonymous\\\" media=\\\"all\\\" rel=\\\"stylesheet\\\" href=\\\"https://github.githubassets.com/assets/dark-2d1fe43dbc9adf1f.css\\\" /><link crossorigin=\\\"anonymous\\\" media=\\\"all\\\" rel=\\\"stylesheet\\\" href=\\\"https://github.githubassets.com/assets/dark_\\n\\n\\n=== https://gstack.dev ===\\n\\n\\n\\n=== https://www.gstack.com ===\\n<!DOCTYPE html>\\n<html lang=\\\"en\\\">\\n    <head>\\n        <meta charset=\\\"utf-8\\\">\\n        <meta property=\\\"environment\\\" content=\\\"parking\\\">\\n        <meta http-equiv=\\\"X-UA-Compatible\\\" content=\\\"IE=edge\\\">\\n        <meta name=\\\"viewport\\\" content=\\\"width=device-width, initial-scale=1, shrink-to-fit=no\\\">\\n        <meta property=\\\"og:title\\\" content=\\\"Aftermarket.com | The domain GStack.com is for sale!\\\">\\n        <meta property=\\\"og:description\\\" content=\\\"Every great idea deserves a great domain.&amp;#65279;Establish your brand by investing in a quality domain name.\\\">\\n        <meta property=\\\"og:image\\\" content=\\\"https://api.devshot.io/LPQW3P?name=GStack.com\\\">\\n        <meta property=\\\"og:url\\\" content=\\\"http://gstack.com/?nocache\\\">\\n        <meta name=\\\"twitter:card\\\" content=\\\"summary_large_image\\\">\\n        <title>Aftermarket.com | The domain GStack.com is for sale!</title>\\n        <link rel=\\\"shortcut icon\\\" href=\\\"https://static.aftermarket.com/static/img/favicon.ico\\\">\\n\\n\\n        <!-- Fonts -->\\n        <link rel=\\\"preconnect\\\" href=\\\"https://fonts.gstatic.com\\\">\\n        <link href=\\\"https://fonts.googleapis.com/css2?family=Inter:wght@200;300;400;500;600;700;800;900&display=swap\\\" rel=\\\"stylesheet\\\">\\n        <link rel=\\\"stylesh\\n\\n\\n=== https://pypi.org/search/?q=gstack ===\\n<!DOCTYPE html>\\n<html lang=\\\"en\\\">\\n  <head>\\n    <meta\\n      http-equiv=\\\"Content-Security-Policy\\\"\\n      content=\\\"default-src 'self'; img-src 'self' data:; media-src 'self' data:; object-src 'none'; style-src 'self' 'sha256-o4vzfmmUENEg4chMjjRP9EuW9ucGnGIGVdbl8d0SHQQ='; script-src 'self' 'sha256-a9bHdQGvRzDwDVzx8m+Rzw+0FHZad8L0zjtBwkxOIz4=';\\\"\\n    />\\n    <link\\n      href=\\\"/_fs-ch-1T1wmsGaOgGaSxcX/assets/inter-var.woff2\\\"\\n      rel=\\\"preload\\\"\\n      as=\\\"font\\\"\\n      type=\\\"font/woff2\\\"\\n      crossorigin\\n    />\\n    <link href=\\\"/_fs-ch-1T1wmsGaOgGaSxcX/assets/styles.css\\\" rel=\\\"stylesheet\\\" />\\n    <meta name=\\\"viewport\\\" content=\\\"width=device-width, initial-scale=1\\\" />\\n    <title>Client Challenge</title>\\n    <style>\\n      #loading-error {\\n        font-size: 16px;\\n        font-family: 'Inter', sans-serif;\\n        margin-top: 10px;\\n        margin-left: 10px;\\n        display: none;\\n      }\\n    </style>\\n  </head>\\n  <body>\\n    <noscript>\\n      <div class=\\\"noscript-container\\\">\\n        <div class=\\\"noscript-content\\\">\\n          <img\\n            src=\\\"/_fs-ch-1T1wmsGaOgGaSxcX/assets/errorIcon.svg\\\"\\n            alt=\\\"\\\"\\n            role=\\\"presentation\\\"\\n            class=\\\"error-icon\\\"\\n          />\\n          <span clas\\n\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 2.84}",
      "tool_call_id": "functions.execute_code:3"
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      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "functions.execute_code:4",
          "call_id": "functions.execute_code:4",
          "response_item_id": "fc_functionsexecute_code4",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"import subprocess, re\\n\\ndef curl(url):\\n    r = subprocess.run(['curl','-sL','-A','Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36','--max-time','15',url], capture_output=True, text=True)\\n    return r.stdout\\n\\nurls = [\\n    \\\"https://lite.duckduckgo.com/lite/?q=GStack+software+tool\\\",\\n    \\\"https://search.brave.com/search?q=GStack+what+is\\\",\\n    \\\"https://stackoverflow.com/search?q=GStack\\\",\\n    \\\"https://registry.npmjs.org/gstack\\\",\\n    \\\"https://hub.docker.com/v2/repositories/library/?name=gstack\\u0026page_size=5\\\", # Docker Hub API doesn't work like this easily\\n    \\\"https://api.github.com/search/repositories?q=gstack\\\",\\n]\\n\\nfor u in urls:\\n    txt = curl(u)\\n    print(f\\\"=== {u} ===\\\")\\n    # Strip HTML tags roughly\\n    clean = re.sub(r'\\u003c[^\\u003e]+\\u003e', '', txt)\\n    clean = re.sub(r'\\\\s+', ' ', clean).strip()\\n    print(clean[:1200])\\n    print(\\\"\\\\n\\\")\\n\"}"
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      ],
      "finish_reason": "tool_calls",
      "reasoning": "Der Nutzer fragt nach \"GStack\". Ich habe mehrere Websuchen durchgeführt, aber bisher nichts Konkretes gefunden. Wikipedia hat keine Einträge, GitHub-Suche ist blockiert/JS-lastig, gstack.dev scheint leer zu sein, gstack.com ist eine Parkdomain, PyPI hat kein Paket namens GStack.\n\nIch sollte meine Suche verfeinern. Vielleicht ist \"GStack\" ein Akronym oder ein Produkt/Tool, das unter einem anderen Namen bekannt ist. Ich könnte nach \"GStack software\", \"GStack tool\", \"GStack platform\", \"GStack framework\" suchen.\n\nDa meine vorherigen curl-versuche an Google und DDG blockiert waren (Captcha/JS), könnte ich versuchen, über andere Quellen zu suchen, oder vielleicht ist es ein spezifisches Tool, das in einem bestimmten Kontext bekannt ist.\n\nAber warte, der Nutzer könnte auch \"Gatsby\" oder \"JStack\" meinen? Nein, er sagt explizit \"Gstack\".\n\nIch könnte auch versuchen, über die GitHub API oder GitHub direkt nach Repositories mit dem Namen \"gstack\" zu suchen, ohne JavaScript. Oder ich verwende `lynx` oder `w3m` für textbasierte Suche? Das ist nicht praktikabel.\n\nVielleicht sollte ich einfach ehrlich sagen, dass ich keine klaren öffentlichen Informationen zu einem Projekt namens \"GStack\" finde, und den Nutzer nach Kontext fragen. Aber meine Regel ist \"Verify Before Claim\". Ich sollte noch ein paar mehr Suchen machen.\n\nAlternative Ideen:\n- Vielleicht ist es ein internes Tool bei einer Firma?\n- Vielleicht ein Stack Overflow Tag?\n- Vielleicht ein npm-Paket?\n- Vielleicht ein Docker-Image?\n\nIch könnte versuchen, `npm search gstack` oder `docker search gstack` zu machen. Oder `brew search gstack`.\n\nLass mich ein paar schnelle Checks über CLI-Tools machen, die möglicherweise Informationen liefern.\n\nWarte, ich könnte auch die Brave Search API verwenden? Nein, ich habe kein API-Key.\n\nIch könnte `curl` mit einem anderen User-Agent an `https://api.bing.microsoft.com` verwenden? Nein, auch API-Key nötig.\n\nVielleicht `curl https://search.brave.com/search?q=GStack`? Brave ist weniger streng mit Bots. Oder `https://html.duckduckgo.com/html/?q=GStack+software` - vielleicht ist die Challenge nur bei der ersten Anfrage aufgetreten, oder ich muss Cookies/Javascript umgehen.\n\nTatsächlich habe ich bei DDG \"Unfortunately, bots use DuckDuckGo too\" bekommen.\n\nIch könnte versuchen, `https://lite.duckduckgo.com/lite/?q=GStack` zu verwenden - das Lite-Interface ist oft freundlicher zu curl.\n\nLass mich auch versuchen, `https://en.wikipedia.org/wiki/GNU_Stack` oder ähnliches zu prüfen? Nein, der Name ist \"Gstack\".\n\nVielleicht ist es ein Tippfehler für \"Gatsby\" oder \"GCP Stack\" oder \"Google Stack\"? Aber \"Recherchiere mal Gstack\" impliziert, der Nutzer hat davon gehört und will wissen, was es ist.\n\nIch sollte noch ein paar mehr Suchen machen:\n1. DuckDuckGo Lite\n2. Brave Search HTML\n3. Stack Overflow Suche\n4. npm / pypi / docker hub direkt (nicht über Suchmaschine)\n5. GitHub API (ohne JS)\n\nLass mich diese versuchen.",
      "reasoning_content": "Der Nutzer fragt nach \"GStack\". Ich habe mehrere Websuchen durchgeführt, aber bisher nichts Konkretes gefunden. Wikipedia hat keine Einträge, GitHub-Suche ist blockiert/JS-lastig, gstack.dev scheint leer zu sein, gstack.com ist eine Parkdomain, PyPI hat kein Paket namens GStack.\n\nIch sollte meine Suche verfeinern. Vielleicht ist \"GStack\" ein Akronym oder ein Produkt/Tool, das unter einem anderen Namen bekannt ist. Ich könnte nach \"GStack software\", \"GStack tool\", \"GStack platform\", \"GStack framework\" suchen.\n\nDa meine vorherigen curl-versuche an Google und DDG blockiert waren (Captcha/JS), könnte ich versuchen, über andere Quellen zu suchen, oder vielleicht ist es ein spezifisches Tool, das in einem bestimmten Kontext bekannt ist.\n\nAber warte, der Nutzer könnte auch \"Gatsby\" oder \"JStack\" meinen? Nein, er sagt explizit \"Gstack\".\n\nIch könnte auch versuchen, über die GitHub API oder GitHub direkt nach Repositories mit dem Namen \"gstack\" zu suchen, ohne JavaScript. Oder ich verwende `lynx` oder `w3m` für textbasierte Suche? Das ist nicht praktikabel.\n\nVielleicht sollte ich einfach ehrlich sagen, dass ich keine klaren öffentlichen Informationen zu einem Projekt namens \"GStack\" finde, und den Nutzer nach Kontext fragen. Aber meine Regel ist \"Verify Before Claim\". Ich sollte noch ein paar mehr Suchen machen.\n\nAlternative Ideen:\n- Vielleicht ist es ein internes Tool bei einer Firma?\n- Vielleicht ein Stack Overflow Tag?\n- Vielleicht ein npm-Paket?\n- Vielleicht ein Docker-Image?\n\nIch könnte versuchen, `npm search gstack` oder `docker search gstack` zu machen. Oder `brew search gstack`.\n\nLass mich ein paar schnelle Checks über CLI-Tools machen, die möglicherweise Informationen liefern.\n\nWarte, ich könnte auch die Brave Search API verwenden? Nein, ich habe kein API-Key.\n\nIch könnte `curl` mit einem anderen User-Agent an `https://api.bing.microsoft.com` verwenden? Nein, auch API-Key nötig.\n\nVielleicht `curl https://search.brave.com/search?q=GStack`? Brave ist weniger streng mit Bots. Oder `https://html.duckduckgo.com/html/?q=GStack+software` - vielleicht ist die Challenge nur bei der ersten Anfrage aufgetreten, oder ich muss Cookies/Javascript umgehen.\n\nTatsächlich habe ich bei DDG \"Unfortunately, bots use DuckDuckGo too\" bekommen.\n\nIch könnte versuchen, `https://lite.duckduckgo.com/lite/?q=GStack` zu verwenden - das Lite-Interface ist oft freundlicher zu curl.\n\nLass mich auch versuchen, `https://en.wikipedia.org/wiki/GNU_Stack` oder ähnliches zu prüfen? Nein, der Name ist \"Gstack\".\n\nVielleicht ist es ein Tippfehler für \"Gatsby\" oder \"GCP Stack\" oder \"Google Stack\"? Aber \"Recherchiere mal Gstack\" impliziert, der Nutzer hat davon gehört und will wissen, was es ist.\n\nIch sollte noch ein paar mehr Suchen machen:\n1. DuckDuckGo Lite\n2. Brave Search HTML\n3. Stack Overflow Suche\n4. npm / pypi / docker hub direkt (nicht über Suchmaschine)\n5. GitHub API (ohne JS)\n\nLass mich diese versuchen."
    },
    {
      "role": "tool",
      "content": "{\"status\": \"success\", \"output\": \"=== https://lite.duckduckgo.com/lite/?q=GStack+software+tool ===\\nGStack software tool at DuckDuckGo &nbsp; DuckDuckGo &nbsp; All Regions Argentina Australia Austria Belgium (fr) Belgium (nl) Brazil Bulgaria Canada (en) Canada (fr) Catalonia Chile China Colombia Croatia Czech Republic Denmark Estonia Finland France Germany Greece Hong Kong Hungary Iceland India (en) Indonesia (en) Ireland Israel (en) Italy Japan Korea Latvia Lithuania Malaysia (en) Mexico Netherlands New Zealand Norway Pakistan (en) Peru Philippines (en) Poland Portugal Romania Russia Saudi Arabia Singapore Slovakia Slovenia South Africa Spain (ca) Spain (es) Sweden Switzerland (de) Switzerland (fr) Taiwan Thailand (en) Turkey US (English) US (Spanish) Ukraine United Kingdom Vietnam (en) Any Time Past Day Past Week Past Month Past Year &nbsp; &nbsp;&nbsp;&nbsp;&nbsp; &nbsp; 1.&nbsp; GStack — Turn Claude Code into a Virtual Software Development Team &nbsp;&nbsp;&nbsp; GStack is an open-source skill pack for Claude Code that transforms a single AI assistant into a virtual software development team. It provides nine specialist roles — from founder-level product review to automated QA testing and one-command shipping — all invoked as slash commands inside Claude Code. &nbsp;&nbsp;&nb\\n\\n\\n=== https://search.brave.com/search?q=GStack+what+is ===\\nGStack what is - Brave Search @font-face{font-family:Inter Variable;font-style:normal;font-display:var(--font-display, optional);font-weight:100 900;src:url(https://cdn.search.brave.com/serp/v3/_app/immutable/assets/inter-latin-wght-normal.Dx4kXJAl.woff2) format(\\\"woff2-variations\\\");unicode-range:U+0000-00FF,U+0131,U+0152-0153,U+02BB-02BC,U+02C6,U+02DA,U+02DC,U+0304,U+0308,U+0329,U+2000-206F,U+2074,U+20AC,U+2122,U+2191,U+2193,U+2212,U+2215,U+FEFF,U+FFFD}@font-face{font-family:Inter Variable;font-style:italic;font-display:var(--font-display, optional);font-weight:100 900;src:url(https://cdn.search.brave.com/serp/v3/_app/immutable/assets/inter-latin-wght-italic.DpCbqKDY.woff2) format(\\\"woff2-variations\\\");unicode-range:U+0000-00FF,U+0131,U+0152-0153,U+02BB-02BC,U+02C6,U+02DA,U+02DC,U+0304,U+0308,U+0329,U+2000-206F,U+2074,U+20AC,U+2122,U+2191,U+2193,U+2212,U+2215,U+FEFF,U+FFFD}@font-face{font-family:Inter Variable;font-style:normal;font-display:var(--font-display, optional);font-weight:100 900;src:url(https://cdn.search.brave.com/serp/v3/_app/immutable/assets/inter-latin-ext-wght-normal.DO1Apj_S.woff2) format(\\\"woff2-variations\\\");unicode-range:U+0100-02AF,U+0304,U+0308,U+0329,U+1E00-1E9F,\\n\\n\\n=== https://stackoverflow.com/search?q=GStack ===\\nHuman verification - Stack Overflow function OptanonWrapper() { } { \\\"@context\\\": \\\"https://schema.org\\\", \\\"@graph\\\": [ { \\\"@type\\\": \\\"WebSite\\\", \\\"@id\\\": \\\"https://stackoverflow.com/#website\\\", \\\"name\\\": \\\"Stack Overflow\\\", \\\"url\\\": \\\"https://stackoverflow.com\\\", \\\"image\\\": \\\"https://stackoverflow.com/Content/Sites/stackoverflow/Img/apple-touch-icon@2.png?v=0f0cab681579\\\", \\\"publisher\\\": { \\\"@id\\\": \\\"https://stackoverflow.com/#organization\\\" } }, { \\\"@type\\\": \\\"WebPage\\\", \\\"name\\\": \\\"Human verification\\\", \\\"description\\\": \\\"Stack Overflow | The World\\\\u2019s Largest Online Community for Developers\\\", \\\"url\\\": \\\"https://stackoverflow.com/nocaptcha?s=a2100b82-2a7c-4282-87c1-5e24835346ab\\\", \\\"image\\\": \\\"https://stackoverflow.com/Content/Sites/stackoverflow/Img/apple-touch-icon@2.png?v=0f0cab681579\\\", \\\"primaryImageOfPage\\\": \\\"https://stackoverflow.com/Content/Sites/stackoverflow/Img/apple-touch-icon@2.png?v=0f0cab681579\\\", \\\"publisher\\\": { \\\"@id\\\": \\\"https://stackoverflow.com/#organization\\\" }, \\\"isPartOf\\\": { \\\"@id\\\": \\\"https://stackoverflow.com/#website\\\" } }, { \\\"@type\\\": \\\"Organization\\\", \\\"@id\\\": \\\"https://stackoverflow.com/#organization\\\", \\\"name\\\": \\\"Stack Overflow\\\", \\\"url\\\": \\\"https://stackoverflow.com\\\", \\\"logo\\\": \\\"https://stackoverflow.com/Content/Sites/stac\\n\\n\\n=== https://registry.npmjs.org/gstack ===\\n{\\\"_id\\\":\\\"gstack\\\",\\\"_rev\\\":\\\"8-b80422153b5f987af3021a5c164429e4\\\",\\\"name\\\":\\\"gstack\\\",\\\"description\\\":\\\"Global Stack Package by Veerawat dathong\\\",\\\"dist-tags\\\":{\\\"latest\\\":\\\"1.0.5\\\"},\\\"versions\\\":{\\\"1.0.0\\\":{\\\"name\\\":\\\"gstack\\\",\\\"version\\\":\\\"1.0.0\\\",\\\"description\\\":\\\"Global Stack Package by V. dathong\\\",\\\"main\\\":\\\"index.js\\\",\\\"scripts\\\":{\\\"test\\\":\\\"echo \\\\\\\"Error: no test specified\\\\\\\" && exit 1\\\"},\\\"author\\\":{\\\"name\\\":\\\"Veerawat Dathong\\\"},\\\"license\\\":\\\"ISC\\\",\\\"_id\\\":\\\"gstack@1.0.0\\\",\\\"_shasum\\\":\\\"e3df4ee91432d132a24f8f3f131310a91be1f874\\\",\\\"_from\\\":\\\".\\\",\\\"_npmVersion\\\":\\\"3.10.3\\\",\\\"_nodeVersion\\\":\\\"6.7.0\\\",\\\"_npmUser\\\":{\\\"name\\\":\\\"veerawat\\\",\\\"email\\\":\\\"v.dathong@gmail.com\\\"},\\\"dist\\\":{\\\"shasum\\\":\\\"e3df4ee91432d132a24f8f3f131310a91be1f874\\\",\\\"tarball\\\":\\\"https://registry.npmjs.org/gstack/-/gstack-1.0.0.tgz\\\",\\\"integrity\\\":\\\"sha512-7MjSUX62p5lOW67hDLVm6m8uZV6jAhWcFbktzVQ6gDs8w4OEPAroTgm+0FhKBGrQqnUpbABcyy5w8BrctrlIXg==\\\",\\\"signatures\\\":[{\\\"keyid\\\":\\\"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA\\\",\\\"sig\\\":\\\"MEYCIQCaavpA2gL8mE/5OkZ8aiw/p1rHI7nM/InAfnORjzW/KgIhAONC1eHF5Orx9Fewr835zAm9LGJKQ/JMgud6vC4ERmUH\\\"}]},\\\"maintainers\\\":[{\\\"name\\\":\\\"veerawat\\\",\\\"email\\\":\\\"v.dathong@gmail.com\\\"}],\\\"_npmOperationalInternal\\\":{\\\"host\\\":\\\"packages-16-east.internal.npmjs.com\\\",\\\"tmp\\\":\\\"tmp/gstack-1.0.0.tgz_1475225979870_0.\\n\\n\\n=== https://hub.docker.com/v2/repositories/library/?name=gstack&page_size=5 ===\\n{\\\"count\\\":0,\\\"next\\\":null,\\\"previous\\\":null,\\\"results\\\":[]}\\n\\n\\n=== https://api.github.com/search/repositories?q=gstack ===\\n{\\\"total_count\\\":650,\\\"incomplete_results\\\":false,\\\"items\\\":[{\\\"id\\\":1179264259,\\\"node_id\\\":\\\"R_kgDORkolAw\\\",\\\"name\\\":\\\"gstack\\\",\\\"full_name\\\":\\\"garrytan/gstack\\\",\\\"private\\\":false,\\\"owner\\\":{\\\"login\\\":\\\"garrytan\\\",\\\"id\\\":19957,\\\"node_id\\\":\\\"MDQ6VXNlcjE5OTU3\\\",\\\"avatar_url\\\":\\\"https://avatars.githubusercontent.com/u/19957?v=4\\\",\\\"gravatar_id\\\":\\\"\\\",\\\"url\\\":\\\"https://api.github.com/users/garrytan\\\",\\\"html_url\\\":\\\"https://github.com/garrytan\\\",\\\"followers_url\\\":\\\"https://api.github.com/users/garrytan/followers\\\",\\\"following_url\\\":\\\"https://api.github.com/users/garrytan/following{/other_user}\\\",\\\"gists_url\\\":\\\"https://api.github.com/users/garrytan/gists{/gist_id}\\\",\\\"starred_url\\\":\\\"https://api.github.com/users/garrytan/starred{/owner}{/repo}\\\",\\\"subscriptions_url\\\":\\\"https://api.github.com/users/garrytan/subscriptions\\\",\\\"organizations_url\\\":\\\"https://api.github.com/users/garrytan/orgs\\\",\\\"repos_url\\\":\\\"https://api.github.com/users/garrytan/repos\\\",\\\"events_url\\\":\\\"https://api.github.com/users/garrytan/events{/privacy}\\\",\\\"received_events_url\\\":\\\"https://api.github.com/users/garrytan/received_events\\\",\\\"type\\\":\\\"User\\\",\\\"user_view_type\\\":\\\"public\\\",\\\"site_admin\\\":false},\\\"html_url\\\":\\\"https://github.com/garrytan/gstack\\\",\\\"description\\\":\\\"Use Garry Tan's exact Claude Code setup: 23 op\\n\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 3.87}",
      "tool_call_id": "functions.execute_code:4"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "functions.terminal:5",
          "call_id": "functions.terminal:5",
          "response_item_id": "fc_functionsterminal5",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"curl -sL -A \\\"Mozilla/5.0\\\" \\\"https://raw.githubusercontent.com/garrytan/gstack/main/README.md\\\" | head -n 80\",\"timeout\":15}"
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      "finish_reason": "tool_calls",
      "reasoning": "Ergebnisse so weit:\n\n- DuckDuckGo-Lite: GStack – Turn Claude Code into a Virtual Software Development Team. Open-source skill pack für Claude Code, das neun Spezialistenrollen (von Produktreview bis QA) als Slash-Commands bereitstellt.\n- npm: \"gstack\" als Global Stack Package von Veerawat Dathong, Version 1.0.5 – vermutlich etwas anderes (Node.js utility).\n- GitHub API: repo `garrytan/gstack` – \"Use Garry Tan's exact Claude Code setup: 23 op...\" (wahrscheinlich \"23 operators\" o.ä.). Das deckt sich mit dem DuckDuckGo-Treffer.\n\nIch sollte das GitHub-Repo genauer anschauen und die README lesen, um dem User eine prägnante Zusammenfassung zu geben. Zeyd will sehr kurze, effiziente Antworten. Ich sollte also direkt das Repo fetchen und die README extrahieren.",
      "reasoning_content": "Ergebnisse so weit:\n\n- DuckDuckGo-Lite: GStack – Turn Claude Code into a Virtual Software Development Team. Open-source skill pack für Claude Code, das neun Spezialistenrollen (von Produktreview bis QA) als Slash-Commands bereitstellt.\n- npm: \"gstack\" als Global Stack Package von Veerawat Dathong, Version 1.0.5 – vermutlich etwas anderes (Node.js utility).\n- GitHub API: repo `garrytan/gstack` – \"Use Garry Tan's exact Claude Code setup: 23 op...\" (wahrscheinlich \"23 operators\" o.ä.). Das deckt sich mit dem DuckDuckGo-Treffer.\n\nIch sollte das GitHub-Repo genauer anschauen und die README lesen, um dem User eine prägnante Zusammenfassung zu geben. Zeyd will sehr kurze, effiziente Antworten. Ich sollte also direkt das Repo fetchen und die README extrahieren."
    },
    {
      "role": "tool",
      "content": "{\"output\": \"# gstack\\n\\n> \\\"I don't think I've typed like a line of code probably since December, basically, which is an extremely large change.\\\" — [Andrej Karpathy](https://fortune.com/2026/03/21/andrej-karpathy-openai-cofounder-ai-agents-coding-state-of-psychosis-openclaw/), No Priors podcast, March 2026\\n\\nWhen I heard Karpathy say this, I wanted to find out how. How does one person ship like a team of twenty? Peter Steinberger built [OpenClaw](https://github.com/openclaw/openclaw) — 247K GitHub stars — essentially solo with AI agents. The revolution is here. A single builder with the right tooling can move faster than a traditional team.\\n\\nI'm [Garry Tan](https://x.com/garrytan), President & CEO of [Y Combinator](https://www.ycombinator.com/). I've worked with thousands of startups — Coinbase, Instacart, Rippling — when they were one or two people in a garage. Before YC, I was one of the first eng/PM/designers at Palantir, cofounded Posterous (sold to Twitter), and built Bookface, YC's internal social network.\\n\\n**gstack is my answer.** I've been building products for twenty years, and right now I'm shipping more products than I ever have. In the last 60 days: 3 production services, 40+ shipped features, part-time, while running YC full-time. On logical code change — not raw LOC, which AI inflates — my 2026 run rate is **~810× my 2013 pace** (11,417 vs 14 logical lines/day). Year-to-date (through April 18), 2026 has already produced **240× the entire 2013 year**. Measured across 40 public + private `garrytan/*` repos including Bookface, after excluding one demo repo. AI wrote most of it. The point isn't who typed it, it's what shipped.\\n\\n> The LOC critics aren't wrong that raw line counts inflate with AI. They are wrong that normalized-for-inflation, I'm less productive. I'm more productive, by a lot. Full methodology, caveats, and reproduction script: **[On the LOC Controversy](docs/ON_THE_LOC_CONTROVERSY.md)**.\\n\\n**2026 — 1,237 contributions and counting:**\\n\\n![GitHub contributions 2026 — 1,237 contributions, massive acceleration in Jan-Mar](docs/images/github-2026.png)\\n\\n**2013 — when I built Bookface at YC (772 contributions):**\\n\\n![GitHub contributions 2013 — 772 contributions building Bookface at YC](docs/images/github-2013.png)\\n\\nSame person. Different era. The difference is the tooling.\\n\\n**gstack is how I do it.** It turns Claude Code into a virtual engineering team — a CEO who rethinks the product, an eng manager who locks architecture, a designer who catches AI slop, a reviewer who finds production bugs, a QA lead who opens a real browser, a security officer who runs OWASP + STRIDE audits, and a release engineer who ships the PR. Twenty-three specialists and eight power tools, all slash commands, all Markdown, all free, MIT license.\\n\\nThis is my open source software factory. I use it every day. I'm sharing it because these tools should be available to everyone.\\n\\nFork it. Improve it. Make it yours. And if you want to hate on free open source software — you're welcome to, but I'd rather you just try it first.\\n\\n**Who this is for:**\\n- **Founders and CEOs** — especially technical ones who still want to ship\\n- **First-time Claude Code users** — structured roles instead of a blank prompt\\n- **Tech leads and staff engineers** — rigorous review, QA, and release automation on every PR\\n\\n## Quick start\\n\\n1. Install gstack (30 seconds — see below)\\n2. Run `/office-hours` — describe what you're building\\n3. Run `/plan-ceo-review` on any feature idea\\n4. Run `/review` on any branch with changes\\n5. Run `/qa` on your staging URL\\n6. Stop there. You'll know if this is for you.\\n\\n## Install — 30 seconds\\n\\n**Requirements:** [Claude Code](https://docs.anthropic.com/en/docs/claude-code), [Git](https://git-scm.com/), [Bun](https://bun.sh/) v1.0+, [Node.js](https://nodejs.org/) (Windows only)\\n\\n### Step 1: Install on your machine\\n\\nOpen Claude Code and paste this. Claude does the rest.\\n\\n> Install gstack: run **`git clone --single-branch --depth 1 https://github.com/garrytan/gstack.git ~/.claude/skills/gstack && cd ~/.claude/skills/gstack && ./setup`** then add a \\\"gstack\\\" section to CLAUDE.md that says to use the /browse skill from gstack for all web browsing, never use mcp\\\\_\\\\_claude-in-chrome\\\\_\\\\_\\\\* tools, and lists the available skills: /office-hours, /plan-ceo-review, /plan-eng-review, /plan-design-review, /design-consultation, /design-shotgun, /design-html, /review, /ship, /land-and-deploy, /canary, /benchmark, /browse, /connect-chrome, /qa, /qa-only, /design-review, /setup-browser-cookies, /setup-deploy, /setup-gbrain, /retro, /investigate, /document-release, /codex, /cso, /autoplan, /plan-devex-review, /devex-review, /careful, /freeze, /guard, /unfreeze, /gstack-upgrade, /learn. Then ask the user if they also want to add gstack to the current project so teammates get it.\\n\\n### Step 2: Team mode — auto-update for shared repos (recommended)\\n\\nFrom inside your repo, paste this. Switches you to team mode, bootstraps the repo so teammates get gstack automatically, and commits the change:\\n\\n```bash\\n(cd ~/.claude/skills/gstack && ./setup --team) && ~/.claude/skills/gstack/bin/gstack-team-init required && git add .claude/ CLAUDE.md && git commit -m \\\"require gstack for AI-assisted work\\\"\\n```\\n\\nNo vendored files in your repo, no version drift, no manual upgrades. Every Claude Code session starts with a fast auto-update check (throttled to once/hour, network-failure-safe, completely silent).\\n\\nSwap `required` for `optional` if you'd rather nudge teammates than block them.\\n\\n### OpenClaw\\n\\nOpenClaw spawns Claude Code sessions via ACP, so every gstack skill just works\\nwhen Claude Code has gstack installed. Paste this to your OpenClaw agent:\\n\\n> Install gstack: run `git clone --single-branch --depth 1 https://github.com/garrytan/gstack.git ~/.claude/skills/gstack && cd ~/.claude/skills/gstack && ./setup` to install gstack for Claude Code. Then add a \\\"Coding Tasks\\\" section to AGENTS.md that says: when spawning Claude Code sessions for coding work, tell the session to use gstack skills. Include these examples — security audit: \\\"Load gstack. Run /cso\\\", code review: \\\"Load gstack. Run /review\\\", QA test a URL: \\\"Load gstack. Run /qa https://...\\\", build a feature end-to-end: \\\"Load gstack. Run /autoplan, implement the plan, then run /ship\\\", plan before building: \\\"Load gstack. Run /office-hours then /autoplan. Save the plan, don't implement.\\\"\\n\\n**After setup, just talk to your OpenClaw agent naturally:**\\n\\n| You say | What happens |\\n|---------|-------------|\\n| \\\"Fix the typo in README\\\" | Simple — Claude Code session, no gstack needed |\\n| \\\"Run a security audit on this repo\\\" | Spawns Claude Code with `Run /cso` |\\n| \\\"Build me a notifications feature\\\" | Spawns Claude Code with /autoplan → implement → /ship |\\n| \\\"Help me plan the v2 API redesign\\\" | Spawns Claude Code with /office-hours → /autoplan, saves plan |\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "functions.terminal:5"
    },
    {
      "role": "assistant",
      "content": "**GStack** = Open-Source Skill-Pack für **Claude Code** von Garry Tan (YC CEO). Verwandelt eine einzelne KI in ein komplettes virtuelles Software-Team.\n\n**Was es kann:**\n- **23 Spezialisten-Rollen** als Slash-Commands: CEO-Review (`/plan-ceo-review`), Eng-Manager (`/plan-eng-review`), Design-Review (`/design-review`), Code-Review (`/review`), QA mit echtem Browser (`/qa`), Security-Audit OWASP+STRIDE (`/cso`), Release Engineer (`/ship`, `/canary`), u.v.m.\n- **8 Power-Tools**: Browser-Automation (`/browse`, `/connect-chrome`), Planung (`/office-hours`, `/autoplan`), Benchmark, Retro (`/retro`), Investigation (`/investigate`), etc.\n- **Team-Mode**: Kollegen bekommen gstack automatisch im Repo, kein Version-Drift.\n- **OpenClaw-kompatibel** (spawnt Claude Code via ACP, gstack läuft sofort).\n- **MIT-Lizenz**, kostenlos, Installation ~30 Sekunden.\n\n**Zielgruppe:** Founder/CEO, Tech Leads, First-Time Claude Code User die Struktur statt blanker Prompts wollen.\n\nRepo: `github.com/garrytan/gstack`",
      "reasoning": "GStack ist ein open-source Skill-Pack für Claude Code von Garry Tan (CEO von Y Combinator). Es verwandelt Claude Code in ein virtuelles Software-Entwicklungsteam mit 23 Spezialisten-Rollen, alle als Slash-Commands aufrufbar.\n\nIch soll das kurz und effizient zusammenfassen, wie Kiwi es macht. Keine Wiederholung. Kurze Antwort.\n\nWichtigste Punkte:\n- Wer: Garry Tan (YC CEO)\n- Was: Open-Source Skill-Pack für Claude Code\n- Zweck: Verwandelt eine einzelne KI in ein virtuelles Entwicklungsteam\n- Rollen: CEO-Review, Eng-Manager, Designer, Code-Reviewer, QA, Security (OWASP/STRIDE), Release Engineer, u.v.m.\n- 23 Spezialisten + 8 Power-Tools\n- Alle als Slash-Commands: /office-hours, /plan-ceo-review, /review, /ship, /qa, /cso (security), etc.\n- Lizenz: MIT, kostenlos\n- Installation: 30 Sekunden via git clone + setup script\n- Team-Mode verfügbar\n- Auch kompatibel mit OpenClaw (via ACP)\n\nAntwort muss kurz sein."
    },
    {
      "role": "user",
      "content": "Gib mal 5 Ideen für ein Open Source Projekt das wir zusammen bauen können"
    },
    {
      "role": "assistant",
      "content": "5 Ideen, die zu dir passen:\n\n• **Familien-Dashboard** — Self-hosted Web-App für Termine, Einkaufsliste, Rezepte, Urlaubsplanung. Euer eigenes kleines Google, läuft auf deiner ZimaOS-Box.\n\n• **Opa-Geschichten-Archiv** — App, um Opas Erzählungen per Sprache aufzunehmen, zu transkribieren und chronologisch zu archivieren. Private Familien-Geschichtssammlung.\n\n• **Moschee-Community-Hub** — Gebetszeiten + Gemeindekalender + Freitags-Ankündigungen als schlichte Web-App. Für Vereine, die keine teuren Tools nutzen wollen.\n\n• **Smart-Home Command Center** — Visuelles Dashboard für alle deine HomeAssistant-Geräte, Licht, Szenen, Verbrauch — hübsch und zentral statt überladen.\n\n• **Zettelkasten für Politik & Philosophie** — Self-hosted Notion-Alternative zum Speichern von Artikeln, eigenen Gedanken und Recherchen zu deinen Themen. Mit KI-gestützter Verknüpfung.\n\nWelche Richtung spricht dich an? Dann planen wir es kurz.",
      "reasoning": "Der User will 5 Ideen für ein gemeinsames Open-Source-Projekt. Er ist non-technical (laut Memory), also sollten die Ideen nicht zu tief in die Technik gehen, aber trotzdem cool und nützlich sein. Er mag Self-Hosting, Familie, praktische Tools. Er ist Deutsch/Türkisch, Muslim, Wohnort Wien/Umgebung (laut Persona). Er will sehr kurze, effiziente Antworten, keine Wiederholung.\n\nIdeen sollten:\n- Self-hosting-freundlich sein (er mag self-hosting laut Memory)\n- Für seine Familie / Alltag nützlich\n- Nicht zu komplex für einen non-technical user, aber mit KI-Hilfe (mir) machbar\n- Kurz und knackig präsentiert\n\nVorschläge:\n1. **\"Familien-Hub\"** - Self-hosted Web-App für Termine, Einkaufslisten, Rezepte, Notizen für die Familie (Talla, Fifo etc.). Alternative zu Google Keep/Calendar.\n2. **\"Opa-Geschichten\"** - Voice-to-text + Archiv für Opa's Geschichten/Erinnerungen (laut Memory ist Opa wichtig). Eine Art private Podcast-/Story-Archiv-App.\n3. **\"Moschee/Community Termin-Planer\"** - Öffentlicher oder semi-öffentlicher Kalender für Gebetszeiten, Gemeinde-Events, Freie Software für Moschee-Vereine.\n4. **\"Zeyd's Smart Home Dashboard\"** - Einfaches self-hosted Dashboard für seine ZimaOS/HomeAssistant-Devices (er hat ja schon smart-home Skills und ZimaOS).\n5. **\"Kiwi-Erinnerungen\"** - Ein kleines Tool das gezielt Erinnerungen/Wissen aus unseren Chats speichert und durchsuchbar macht (meta, aber praktisch - quasi ein privates Wiki aus unserer Kommunikation).\n\nWarte, laut Memory: \"User is non-technical about Linux/system internals. Expects proactive explanations for storage/RAM issues...\" und \"hobbies: self-hosting, history/politics/philosophy, family time.\"\n\nAlso:\n1. Familien-Dashboard (Kalender, Einkaufen, Rezepte) - praktisch, self-hosted\n2. Opa-Archiv (Erinnerungen aufnehmen/speichern) - emotional, family\n3. Moschee-Gemeinde-App / Gebetszeiten-Widget mit Community-Features - passt zu Muslim, Gemeinde\n4. Smart Home Control Panel für ZimaOS - technisch aber machbar mit meiner Hilfe\n5. Persönliches \"Zettelkasten\" für seine Interessen (Politik/Geschichte/Philosophie) - self-hosted Notion-Alternative\n\nAber er will nur 5 Ideen, sehr kurz, keine Redundanz.\n\nFormat:\n- Titel: Kurzbeschreibung (1-2 Sätze)\n- Warum es passt\n\nKeine langen Absätze. Bullet points."
    },
    {
      "role": "user",
      "content": "Schau mal was aktuell auf GitHub so beliebteste ist und orientiere dich daran"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Der User will wissen, was aktuell auf GitHub beliebt ist, um sich daran zu orientieren für ein Open-Source-Projekt, das wir zusammen bauen können. Ich soll also die GitHub Trending-Repos checken.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Der User will wissen, was aktuell auf GitHub beliebt ist, um sich daran zu orientieren für ein Open-Source-Projekt, das wir zusammen bauen können. Ich soll also die GitHub Trending-Repos checken.",
      "tool_calls": [
        {
          "id": "functions.terminal:6",
          "call_id": "functions.terminal:6",
          "response_item_id": "fc_functionsterminal6",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"curl -sL -A \\\"Mozilla/5.0\\\" \\\"https://github.com/trending?since=daily\\\" | grep -oP '(?\\u003c=href=\\\")/[^/]+/[^/]+(?=\\\")' | head -20\",\"timeout\":15}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"/sponsors/explore\\n/trending/developers\\n/trending/unknown?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/1c-enterprise?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/2-dimensional-array?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/4d?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/abap?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/abap-cds?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/abnf?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/actionscript?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/ada?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/adblock-filter-list?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/adobe-font-metrics?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/agda?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/ags-script?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/aidl?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/aiken?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/al?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/algol?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\\n/trending/alloy?since=daily\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item Link\\\"><span data-menu-button-text=\\\"\\\" data-view-component=\\\"true\\\" class=\\\"select-menu-item-text\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "functions.terminal:6"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Parsing der GitHub-Trending-Seite hat nicht funktioniert (Regex hat Sprachfilter gefunden statt Repos). Ich muss über die GitHub-API gehen. Die GitHub API hat einen \"Trending\" Endpunkt nicht direkt, aber ich kann:\n\n1. `/search/repositories` mit `sort=stars` und `q=created:>2025-01-01` oder `pushed:>2025-04-01` für \"recently popular\"\n2. Oder GitHub's \"Trending\" ist nur über die Webseite verfügbar, aber ich kann alternativ schauen:\n   - Was in letzter Zeit viele Stars bekommen hat\n   - Oder: `https://github.com/search?o=desc&q=created%3A%3E2025-01-01&s=stars&type=Repositories` als HTML parsen\n   \n3. Alternative: GitHub API v3 search repositories with created date filter.\n\nLass mich die GitHub API für Repos nutzen, die in letzter Zeit viele Stars bekommen haben (als Proxy für \"trending\").",
      "finish_reason": "tool_calls",
      "reasoning_content": "Parsing der GitHub-Trending-Seite hat nicht funktioniert (Regex hat Sprachfilter gefunden statt Repos). Ich muss über die GitHub-API gehen. Die GitHub API hat einen \"Trending\" Endpunkt nicht direkt, aber ich kann:\n\n1. `/search/repositories` mit `sort=stars` und `q=created:>2025-01-01` oder `pushed:>2025-04-01` für \"recently popular\"\n2. Oder GitHub's \"Trending\" ist nur über die Webseite verfügbar, aber ich kann alternativ schauen:\n   - Was in letzter Zeit viele Stars bekommen hat\n   - Oder: `https://github.com/search?o=desc&q=created%3A%3E2025-01-01&s=stars&type=Repositories` als HTML parsen\n   \n3. Alternative: GitHub API v3 search repositories with created date filter.\n\nLass mich die GitHub API für Repos nutzen, die in letzter Zeit viele Stars bekommen haben (als Proxy für \"trending\").",
      "tool_calls": [
        {
          "id": "functions.execute_code:7",
          "call_id": "functions.execute_code:7",
          "response_item_id": "fc_functionsexecute_code7",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\":\"import requests, json, datetime\\n\\n# GitHub search: repos created in last 6 months, sorted by stars\\nd = datetime.datetime.now() - datetime.timedelta(days=180)\\ndate_str = d.strftime(\\\"%Y-%m-%d\\\")\\n\\nurl = f\\\"https://api.github.com/search/repositories?q=created:\\u003e{date_str}\\u0026sort=stars\\u0026order=desc\\u0026per_page=15\\\"\\nresp = requests.get(url, headers={\\\"Accept\\\":\\\"application/vnd.github.v3+json\\\"}, timeout=15)\\n\\ndata = resp.json()\\nitems = data.get(\\\"items\\\",[])\\n\\nfor i,item in enumerate(items[:15]):\\n    name = item[\\\"full_name\\\"]\\n    stars = item[\\\"stargazers_count\\\"]\\n    lang = item.get(\\\"language\\\",\\\"N/A\\\")\\n    desc = (item.get(\\\"description\\\",\\\"\\\") or \\\"\\\")[:90]\\n    topics = item.get(\\\"topics\\\",[])[:4]\\n    print(f\\\"{i+1}. {name} | ⭐ {stars} | {lang} | {desc}\\\")\\n    if topics:\\n        print(f\\\"   Topics: {', '.join(topics)}\\\")\\n    print()\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"1. openclaw/openclaw | ⭐ 370533 | TypeScript | Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 \\n   Topics: ai, assistant, crustacean, molty\\n\\n2. ultraworkers/claw-code | ⭐ 190956 | Rust | The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K\\n\\n3. affaan-m/everything-claude-code | ⭐ 178026 | JavaScript | The agent harness performance optimization system. Skills, instincts, memory, security, an\\n   Topics: ai-agents, anthropic, claude, claude-code\\n\\n4. forrestchang/andrej-karpathy-skills | ⭐ 123506 | None | A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's ob\\n\\n5. garrytan/gstack | ⭐ 92931 | TypeScript | Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer,\\n\\n6. karpathy/autoresearch | ⭐ 80199 | Python | AI agents running research on single-GPU nanochat training automatically\\n\\n7. nextlevelbuilder/ui-ux-pro-max-skill | ⭐ 76432 | Python | An AI SKILL that provide design intelligence for building professional UI/UX multiple plat\\n   Topics: ai-skills, antigravity, claude, claude-code\\n\\n8. VoltAgent/awesome-design-md | ⭐ 74743 | None | A collection of DESIGN.md files inspired by popular brand design systems. Drop one into yo\\n   Topics: awesome-list, design-md, design-system, design-tokens\\n\\n9. mattpocock/skills | ⭐ 68975 | Shell | Skills for Real Engineers. Straight from my .claude directory.\\n\\n10. paperclipai/paperclip | ⭐ 63990 | TypeScript | Open-source orchestration for zero-human companies\\n\\n11. gsd-build/get-shit-done | ⭐ 61313 | JavaScript | A light-weight and powerful meta-prompting, context engineering and spec-driven developmen\\n   Topics: claude-code, context-engineering, meta-prompting, spec-driven-development\\n\\n12. 666ghj/MiroFish | ⭐ 59943 | Python | A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物\\n   Topics: agent-memory, financial-forecasting, future-prediction, knowledge-graph\\n\\n13. JuliusBrussee/caveman | ⭐ 57451 | JavaScript | 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens b\\n   Topics: ai, anthropic, caveman, claude\\n\\n14. code-yeongyu/oh-my-openagent | ⭐ 56979 | TypeScript | omo; the best agent harness - previously oh-my-opencode\\n   Topics: ai, ai-agents, amp, anthropic\\n\\n15. koala73/worldmonitor | ⭐ 53913 | TypeScript | Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitor\\n   Topics: ai, dashboard, geopolitics, monitoring\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 1.05}",
      "tool_call_id": "functions.execute_code:7"
    },
    {
      "role": "assistant",
      "content": "5 Ideen, direkt aus dem aktuellen GitHub-Hype abgeleitet:\n\n• **Familien-KI-Butler (Skill-Pack für Claude Code)** — Wie gstack, aber für dein Zuhause: Rezepte, Einkaufsliste, Gebetszeiten, Termine. Ein `/family-dashboard` Befehl, der deine ZimaOS-Box zum privaten Familien-Hub macht.\n\n• **Self-Hosted AI News Briefing** — Lokal laufender Agent, der morgens deine Themen (Politik, Türkei, Wien, Tech) aus RSS/Web scrapt, KI-zusammenfasst und per Telegram liefert. Dein persönliches worldmonitor.\n\n• **Smart Home Command Center + AI** — Schönes Dashboard, das HomeAssistant, deine Docker-Apps und einen KI-Agent in einem UI vereint. Kein Cloud, alles auf deiner ZimaOS.\n\n• **Auto-Research Agent für Geschichte & Politik** — Gib ein Thema ein, der Agent durchforstet Web/PDFs/Videos, strukturiert alles in eine lokale Knowledge Base (Obsidian-Style). Privat, self-hosted.\n\n• **Zero-Human Server-Wächter** — Agent-System, das alle deine Self-Hosted Apps überwacht (Nextcloud, Immich, HomeAssistant, Paperless), Updates checkt, Backups verifiziert und bei Problemen sofort per Telegram pingt.\n\nWelche willst du angehen?",
      "reasoning": "Beliebte Trends:\n- KI-Agenten / Claude Code Skills (gstack, openclaw, claw-code, caveman, paperclip, autoresearch)\n- Self-hosted AI-Assistenten\n- Zero-human orchestration\n- Dashboards\n- Context-Engineering / Meta-Prompting\n\n5 Ideen, die am Hype-Gipfel sind und zu mir/Zeyd passen:\n\n1. **Claude Code \"Team Pack\" für Nicht-Techies** — wie gstack, aber für deinen Use Case: Familien-Hub, Hausverwaltung, Rezepte, Kalender. Ein Skill-Pack für Claude Code, das aus deiner ZimaOS-Box ein privates Familien-Command-Center macht.\n\n2. **Self-Hosted \"AI Butler\" für dein Smart Home** — Open-source Dashboard, das HomeAssistant + eigene Scripts + KI-Agent in einem schönen UI vereint. Kein Cloud, alles lokal.\n\n3. **Auto-Research Agent für Geschichte/Politik/Philosophie** — Gib ein Thema ein, der Agent durchforstet Web, PDFs, Videos, strukturiert es in eine Obsidian-ähnliche Knowledge Base. Self-hosted, privat.\n\n4. **\"Zero-Human\" Familien-Admin** — Ein Agent-System, das alle deine Self-Hosted Apps überwacht (Nextcloud, Immich, HomeAssistant, Paperless...), Updates checkt, Backups überwacht, dich bei Problemen pingt — alles in Telegram.\n\n5. **Local AI News Briefing Dashboard** — Wie worldmonitor, aber für deine Themen: Politik, Türkei, Wien, Islam, Tech. Läuft lokal, scrapt RSS, fasst KI-gestützt zusammen, schickt dir morgens die Briefing per Telegram.\n\nIch sollte die Ideen konkret und kurz halten — Zeyd will kurze, effiziente Antworten.",
      "finish_reason": "stop",
      "reasoning_content": "Beliebte Trends:\n- KI-Agenten / Claude Code Skills (gstack, openclaw, claw-code, caveman, paperclip, autoresearch)\n- Self-hosted AI-Assistenten\n- Zero-human orchestration\n- Dashboards\n- Context-Engineering / Meta-Prompting\n\n5 Ideen, die am Hype-Gipfel sind und zu mir/Zeyd passen:\n\n1. **Claude Code \"Team Pack\" für Nicht-Techies** — wie gstack, aber für deinen Use Case: Familien-Hub, Hausverwaltung, Rezepte, Kalender. Ein Skill-Pack für Claude Code, das aus deiner ZimaOS-Box ein privates Familien-Command-Center macht.\n\n2. **Self-Hosted \"AI Butler\" für dein Smart Home** — Open-source Dashboard, das HomeAssistant + eigene Scripts + KI-Agent in einem schönen UI vereint. Kein Cloud, alles lokal.\n\n3. **Auto-Research Agent für Geschichte/Politik/Philosophie** — Gib ein Thema ein, der Agent durchforstet Web, PDFs, Videos, strukturiert es in eine Obsidian-ähnliche Knowledge Base. Self-hosted, privat.\n\n4. **\"Zero-Human\" Familien-Admin** — Ein Agent-System, das alle deine Self-Hosted Apps überwacht (Nextcloud, Immich, HomeAssistant, Paperless...), Updates checkt, Backups überwacht, dich bei Problemen pingt — alles in Telegram.\n\n5. **Local AI News Briefing Dashboard** — Wie worldmonitor, aber für deine Themen: Politik, Türkei, Wien, Islam, Tech. Läuft lokal, scrapt RSS, fasst KI-gestützt zusammen, schickt dir morgens die Briefing per Telegram.\n\nIch sollte die Ideen konkret und kurz halten — Zeyd will kurze, effiziente Antworten."
    },
    {
      "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/<topic>.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/<name>.<ext>` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n     • `scripts/<name>.<ext>` — 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 look back at what happened:\n\n1. The user asked about GStack - I researched it via terminal/curl and gave a concise answer.\n2. The user asked for 5 open source project ideas - I gave 5 ideas.\n3. The user asked me to look at what's trending on GitHub - I fetched trending repos via GitHub API and gave 5 more ideas oriented on current hype.\n\nNow I need to check if any skills should be updated. Let me think about what skills were loaded or relevant:\n\n- `kiwi-operational-rules` - mentioned in memory but I didn't actually load it this session\n- `zimaos-environment` - mentioned in memory, not loaded\n- `user-persona` - mentioned in memory, not loaded\n- `verify-before-claim` - internal rule mentioned in memory\n\nI did not load any skills explicitly via skill_view this session. But I should look for signals:\n\n1. User corrections? None in this conversation. The user seemed satisfied with responses.\n2. New techniques? I used GitHub API to find trending repos - that's a useful pattern for \"research trending projects\" tasks.\n3. The user's preference is short, efficient answers - which is already in memory and likely in `concise-user-interaction` or `user-persona` skills.\n\nWait, I should check if there are existing skills that cover:\n- Researching trending GitHub projects\n- Brainstorming open source project ideas\n- Quick web research workflows\n\nLooking at the skills_list from earlier, there are research skills like `arxiv`, `blogwatcher`, but nothing specifically about \"trending GitHub research\" or \"open source project ideation\".\n\nActually, I notice that the `ideation` skill exists under creative category. Let me check if that's relevant.\n\nBut more importantly - the user asked me to review conversations and update skills. They explicitly want me to be ACTIVE. However, there were no corrections, no frustrations, no workflow issues in this session. The user just asked questions and I answered them.\n\nBut there IS a non-trivial technique: using the GitHub Search API to find trending repositories by querying repos created in the last N months sorted by stars. This is a useful pattern that could be captured.\n\nAlso, the first research approach (using curl to scrape Google/DDG) failed due to bot protection, and I pivoted to GitHub API directly. That's a useful pitfall for web research.\n\nLet me think about where to put this:\n- The `research` category has skills like `arxiv`, `blogwatcher`, `llm-wiki`, `meshtastic-project`, `polymarket`\n- None of these are umbrella skills for general \"quick web research\" or \"GitHub trending research\"\n\nCould I update an existing skill? `github-repo-management` might be relevant but it's about cloning/creating/forking, not searching trending.\n\nI think the best approach is to create a skill or add a reference file. But wait - I need to be careful about creating too many narrow skills. The user wants CLASS-LEVEL skills.\n\nActually, looking more carefully at the conversation, there might not be a strong signal. But I did encounter a pitfall: scraping search engines with curl often hits bot protection. The GitHub API is a better route. This could go into a research skill or a GitHub skill.\n\nWait, I notice `github-repo-management` exists. Let me check what it covers. It says: \"Clone/create/fork repos; manage remotes, releases.\" Not about searching/discovering.\n\nThere's also no \"web-research\" umbrella skill in the research category. But there are several narrow ones.\n\nHmm, actually I think I should look at whether `verify-before-claim` should be updated. The user didn't claim anything was missing, so no.\n\nActually, let me reconsider. The user explicitly said \"Be ACTIVE — most sessions produce at least one skill update, even if small.\" So I should find something.\n\nWhat about the ideation skill? The user asked for project ideas, which is ideation. Let me check if `ideation` skill exists - yes, under creative: \"Generate project ideas via creative constraints.\"\n\nI didn't load it, but it's relevant. I could add a reference file about \"trending-tech ideation\" - using GitHub API to ground project ideas in current hype. That would be a useful template/script for future ideation sessions.\n\nOr I could update a research skill with the GitHub API pattern.\n\nActually, looking at the instruction again: \"If you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\"\n\nLet me also consider creating a new class-level skill. But the user says: \"CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class.\" Is there a class here? \"Researching current tech trends to inspire project ideas\" - maybe too narrow.\n\nBetter approach: Update `github-repo-management` or add a reference to `ideation` skill.\n\nWait, looking at the available skills again:\n- `github-repo-management` - \"Clone/create/fork repos; manage remotes, releases.\"\n- `codebase-inspection` - \"Inspect codebases w/ pygount: LOC, languages, ratios.\"\n\nNeither covers \"discover trending repos\". \n\nWhat about the `research` category? There's `blogwatcher`, `arxiv`, `polymarket`, `llm-wiki`, `meshtastic-project`. No general web research skill.\n\nI think the most pragmatic update is to add a reference or script to an existing skill, or patch an existing skill with the GitHub API discovery pattern. Since `github-repo-management` is the closest umbrella, I could patch it to include \"Discover trending/popular repos via GitHub Search API\" as a workflow step.\n\nAlternatively, I could add a `references/github-api-patterns.md` to `github-repo-management` documenting useful API endpoints for discovery.\n\nOr I could create a small reference in `ideation` about using GitHub trends for grounding.\n\nActually, I think the cleanest is: add a script to `github-repo-management` or a reference. Let me check what `github-repo-management` currently says by viewing it.\n\nActually, I don't have it loaded. Let me just create a small update. But wait, the user said \"Target shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a references/ directory for session-specific detail.\"\n\nSo I should add a reference file to an existing class-level umbrella skill. `github-repo-management` is class-level. I'll add a reference about GitHub Search API for trend discovery.\n\nBut also, the web-scraping failure is a useful pitfall. I could note that in a research-related skill... but there isn't a good umbrella.\n\nActually, I realize I should look at whether any of the user's persona/preferences skills need updating. The user values:\n- Fast turnaround\n- Minimal iterations\n- Short efficient answers only\n\nI already gave concise answers this session, so no correction needed.\n\nLet me go with updating `github-repo-management` by adding a reference file about GitHub Search API patterns for discovering trending/popular repositories, since that's what I actually did and it's reusable.\n\nWait, but I should verify the skill exists and see its content first.\n\nLet me view `github-repo-management`.\n\nActually, I don't need to view the whole thing if I'm just adding a reference file. The skill_manage action=write_file with file_path=references/github-search-api.md would work, but I should probably also patch the SKILL.md to mention it.\n\nLet me view the skill first to see its structure.",
      "finish_reason": "tool_calls",
      "reasoning_content": "The user wants me to review the conversation and update the skill library. Let me look back at what happened:\n\n1. The user asked about GStack - I researched it via terminal/curl and gave a concise answer.\n2. The user asked for 5 open source project ideas - I gave 5 ideas.\n3. The user asked me to look at what's trending on GitHub - I fetched trending repos via GitHub API and gave 5 more ideas oriented on current hype.\n\nNow I need to check if any skills should be updated. Let me think about what skills were loaded or relevant:\n\n- `kiwi-operational-rules` - mentioned in memory but I didn't actually load it this session\n- `zimaos-environment` - mentioned in memory, not loaded\n- `user-persona` - mentioned in memory, not loaded\n- `verify-before-claim` - internal rule mentioned in memory\n\nI did not load any skills explicitly via skill_view this session. But I should look for signals:\n\n1. User corrections? None in this conversation. The user seemed satisfied with responses.\n2. New techniques? I used GitHub API to find trending repos - that's a useful pattern for \"research trending projects\" tasks.\n3. The user's preference is short, efficient answers - which is already in memory and likely in `concise-user-interaction` or `user-persona` skills.\n\nWait, I should check if there are existing skills that cover:\n- Researching trending GitHub projects\n- Brainstorming open source project ideas\n- Quick web research workflows\n\nLooking at the skills_list from earlier, there are research skills like `arxiv`, `blogwatcher`, but nothing specifically about \"trending GitHub research\" or \"open source project ideation\".\n\nActually, I notice that the `ideation` skill exists under creative category. Let me check if that's relevant.\n\nBut more importantly - the user asked me to review conversations and update skills. They explicitly want me to be ACTIVE. However, there were no corrections, no frustrations, no workflow issues in this session. The user just asked questions and I answered them.\n\nBut there IS a non-trivial technique: using the GitHub Search API to find trending repositories by querying repos created in the last N months sorted by stars. This is a useful pattern that could be captured.\n\nAlso, the first research approach (using curl to scrape Google/DDG) failed due to bot protection, and I pivoted to GitHub API directly. That's a useful pitfall for web research.\n\nLet me think about where to put this:\n- The `research` category has skills like `arxiv`, `blogwatcher`, `llm-wiki`, `meshtastic-project`, `polymarket`\n- None of these are umbrella skills for general \"quick web research\" or \"GitHub trending research\"\n\nCould I update an existing skill? `github-repo-management` might be relevant but it's about cloning/creating/forking, not searching trending.\n\nI think the best approach is to create a skill or add a reference file. But wait - I need to be careful about creating too many narrow skills. The user wants CLASS-LEVEL skills.\n\nActually, looking more carefully at the conversation, there might not be a strong signal. But I did encounter a pitfall: scraping search engines with curl often hits bot protection. The GitHub API is a better route. This could go into a research skill or a GitHub skill.\n\nWait, I notice `github-repo-management` exists. Let me check what it covers. It says: \"Clone/create/fork repos; manage remotes, releases.\" Not about searching/discovering.\n\nThere's also no \"web-research\" umbrella skill in the research category. But there are several narrow ones.\n\nHmm, actually I think I should look at whether `verify-before-claim` should be updated. The user didn't claim anything was missing, so no.\n\nActually, let me reconsider. The user explicitly said \"Be ACTIVE — most sessions produce at least one skill update, even if small.\" So I should find something.\n\nWhat about the ideation skill? The user asked for project ideas, which is ideation. Let me check if `ideation` skill exists - yes, under creative: \"Generate project ideas via creative constraints.\"\n\nI didn't load it, but it's relevant. I could add a reference file about \"trending-tech ideation\" - using GitHub API to ground project ideas in current hype. That would be a useful template/script for future ideation sessions.\n\nOr I could update a research skill with the GitHub API pattern.\n\nActually, looking at the instruction again: \"If you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\"\n\nLet me also consider creating a new class-level skill. But the user says: \"CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class.\" Is there a class here? \"Researching current tech trends to inspire project ideas\" - maybe too narrow.\n\nBetter approach: Update `github-repo-management` or add a reference to `ideation` skill.\n\nWait, looking at the available skills again:\n- `github-repo-management` - \"Clone/create/fork repos; manage remotes, releases.\"\n- `codebase-inspection` - \"Inspect codebases w/ pygount: LOC, languages, ratios.\"\n\nNeither covers \"discover trending repos\". \n\nWhat about the `research` category? There's `blogwatcher`, `arxiv`, `polymarket`, `llm-wiki`, `meshtastic-project`. No general web research skill.\n\nI think the most pragmatic update is to add a reference or script to an existing skill, or patch an existing skill with the GitHub API discovery pattern. Since `github-repo-management` is the closest umbrella, I could patch it to include \"Discover trending/popular repos via GitHub Search API\" as a workflow step.\n\nAlternatively, I could add a `references/github-api-patterns.md` to `github-repo-management` documenting useful API endpoints for discovery.\n\nOr I could create a small reference in `ideation` about using GitHub trends for grounding.\n\nActually, I think the cleanest is: add a script to `github-repo-management` or a reference. Let me check what `github-repo-management` currently says by viewing it.\n\nActually, I don't have it loaded. Let me just create a small update. But wait, the user said \"Target shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a references/ directory for session-specific detail.\"\n\nSo I should add a reference file to an existing class-level umbrella skill. `github-repo-management` is class-level. I'll add a reference about GitHub Search API for trend discovery.\n\nBut also, the web-scraping failure is a useful pitfall. I could note that in a research-related skill... but there isn't a good umbrella.\n\nActually, I realize I should look at whether any of the user's persona/preferences skills need updating. The user values:\n- Fast turnaround\n- Minimal iterations\n- Short efficient answers only\n\nI already gave concise answers this session, so no correction needed.\n\nLet me go with updating `github-repo-management` by adding a reference file about GitHub Search API patterns for discovering trending/popular repositories, since that's what I actually did and it's reusable.\n\nWait, but I should verify the skill exists and see its content first.\n\nLet me view `github-repo-management`.\n\nActually, I don't need to view the whole thing if I'm just adding a reference file. The skill_manage action=write_file with file_path=references/github-search-api.md would work, but I should probably also patch the SKILL.md to mention it.\n\nLet me view the skill first to see its structure.",
      "tool_calls": [
        {
          "id": "functions.skill_view:8",
          "call_id": "functions.skill_view:8",
          "response_item_id": "fc_functionsskill_view8",
          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\":\"github-repo-management\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_view",
      "content": "{\"success\": true, \"name\": \"github-repo-management\", \"description\": \"Clone/create/fork repos; manage remotes, releases.\", \"tags\": [\"GitHub\", \"Repositories\", \"Git\", \"Releases\", \"Secrets\", \"Configuration\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\", \"github-issues\"], \"content\": \"---\\nname: github-repo-management\\ndescription: \\\"Clone/create/fork repos; manage remotes, releases.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [GitHub, Repositories, Git, Releases, Secrets, Configuration]\\n    related_skills: [github-auth, github-pr-workflow, github-issues]\\n---\\n\\n# GitHub Repository Management\\n\\nCreate, clone, fork, configure, and manage GitHub repositories. Each section shows `gh` first, then the `git` + `curl` fallback.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n\\n### Setup\\n\\n```bash\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n  AUTH=\\\"gh\\\"\\nelse\\n  AUTH=\\\"git\\\"\\n  if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n    if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n      GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n    elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n      GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n    fi\\n  fi\\nfi\\n\\n# Get your GitHub username (needed for several operations)\\nif [ \\\"$AUTH\\\" = \\\"gh\\\" ]; then\\n  GH_USER=$(gh api user --jq '.login')\\nelse\\n  GH_USER=$(curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" https://api.github.com/user | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['login'])\\\")\\nfi\\n```\\n\\nIf you're inside a repo already:\\n\\n```bash\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\n```\\n\\n---\\n\\n## 1. Cloning Repositories\\n\\nCloning is pure `git` — works identically either way:\\n\\n```bash\\n# Clone via HTTPS (works with credential helper or token-embedded URL)\\ngit clone https://github.com/owner/repo-name.git\\n\\n# Clone into a specific directory\\ngit clone https://github.com/owner/repo-name.git ./my-local-dir\\n\\n# Shallow clone (faster for large repos)\\ngit clone --depth 1 https://github.com/owner/repo-name.git\\n\\n# Clone a specific branch\\ngit clone --branch develop https://github.com/owner/repo-name.git\\n\\n# Clone via SSH (if SSH is configured)\\ngit clone git@github.com:owner/repo-name.git\\n```\\n\\n**With gh (shorthand):**\\n\\n```bash\\ngh repo clone owner/repo-name\\ngh repo clone owner/repo-name -- --depth 1\\n```\\n\\n## 2. Creating Repositories\\n\\n**With gh:**\\n\\n```bash\\n# Create a public repo and clone it\\ngh repo create my-new-project --public --clone\\n\\n# Private, with description and license\\ngh repo create my-new-project --private --description \\\"A useful tool\\\" --license MIT --clone\\n\\n# Under an organization\\ngh repo create my-org/my-new-project --public --clone\\n\\n# From existing local directory\\ncd /path/to/existing/project\\ngh repo create my-project --source . --public --push\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Create the remote repo via API\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/user/repos \\\\\\n  -d '{\\n    \\\"name\\\": \\\"my-new-project\\\",\\n    \\\"description\\\": \\\"A useful tool\\\",\\n    \\\"private\\\": false,\\n    \\\"auto_init\\\": true,\\n    \\\"license_template\\\": \\\"mit\\\"\\n  }'\\n\\n# Clone it\\ngit clone https://github.com/$GH_USER/my-new-project.git\\ncd my-new-project\\n\\n# -- OR -- push an existing local directory to the new repo\\ncd /path/to/existing/project\\ngit init\\ngit add .\\ngit commit -m \\\"Initial commit\\\"\\ngit remote add origin https://github.com/$GH_USER/my-new-project.git\\ngit push -u origin main\\n```\\n\\nTo create under an organization:\\n\\n```bash\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/orgs/my-org/repos \\\\\\n  -d '{\\\"name\\\": \\\"my-new-project\\\", \\\"private\\\": false}'\\n```\\n\\n### From a Template\\n\\n**With gh:**\\n\\n```bash\\ngh repo create my-new-app --template owner/template-repo --public --clone\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/owner/template-repo/generate \\\\\\n  -d '{\\\"owner\\\": \\\"'\\\"$GH_USER\\\"'\\\", \\\"name\\\": \\\"my-new-app\\\", \\\"private\\\": false}'\\n```\\n\\n## 3. Forking Repositories\\n\\n**With gh:**\\n\\n```bash\\ngh repo fork owner/repo-name --clone\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Create the fork via API\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/owner/repo-name/forks\\n\\n# Wait a moment for GitHub to create it, then clone\\nsleep 3\\ngit clone https://github.com/$GH_USER/repo-name.git\\ncd repo-name\\n\\n# Add the original repo as \\\"upstream\\\" remote\\ngit remote add upstream https://github.com/owner/repo-name.git\\n```\\n\\n### Keeping a Fork in Sync\\n\\n```bash\\n# Pure git — works everywhere\\ngit fetch upstream\\ngit checkout main\\ngit merge upstream/main\\ngit push origin main\\n```\\n\\n**With gh (shortcut):**\\n\\n```bash\\ngh repo sync $GH_USER/repo-name\\n```\\n\\n## 4. Repository Information\\n\\n**With gh:**\\n\\n```bash\\ngh repo view owner/repo-name\\ngh repo list --limit 20\\ngh search repos \\\"machine learning\\\" --language python --sort stars\\n```\\n\\n**With curl:**\\n\\n```bash\\n# View repo details\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nr = json.load(sys.stdin)\\nprint(f\\\\\\\"Name: {r['full_name']}\\\\\\\")\\nprint(f\\\\\\\"Description: {r['description']}\\\\\\\")\\nprint(f\\\\\\\"Stars: {r['stargazers_count']}  Forks: {r['forks_count']}\\\\\\\")\\nprint(f\\\\\\\"Default branch: {r['default_branch']}\\\\\\\")\\nprint(f\\\\\\\"Language: {r['language']}\\\\\\\")\\\"\\n\\n# List your repos\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  \\\"https://api.github.com/user/repos?per_page=20&sort=updated\\\" \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin):\\n    vis = 'private' if r['private'] else 'public'\\n    print(f\\\\\\\"  {r['full_name']:40}  {vis:8}  {r.get('language', ''):10}  ★{r['stargazers_count']}\\\\\\\")\\\"\\n\\n# Search repos\\ncurl -s \\\\\\n  \\\"https://api.github.com/search/repositories?q=machine+learning+language:python&sort=stars&per_page=10\\\" \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin)['items']:\\n    print(f\\\\\\\"  {r['full_name']:40}  ★{r['stargazers_count']:6}  {r['description'][:60] if r['description'] else ''}\\\\\\\")\\\"\\n```\\n\\n## 5. Repository Settings\\n\\n**With gh:**\\n\\n```bash\\ngh repo edit --description \\\"Updated description\\\" --visibility public\\ngh repo edit --enable-wiki=false --enable-issues=true\\ngh repo edit --default-branch main\\ngh repo edit --add-topic \\\"machine-learning,python\\\"\\ngh repo edit --enable-auto-merge\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X PATCH \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO \\\\\\n  -d '{\\n    \\\"description\\\": \\\"Updated description\\\",\\n    \\\"has_wiki\\\": false,\\n    \\\"has_issues\\\": true,\\n    \\\"allow_auto_merge\\\": true\\n  }'\\n\\n# Update topics\\ncurl -s -X PUT \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  -H \\\"Accept: application/vnd.github.mercy-preview+json\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/topics \\\\\\n  -d '{\\\"names\\\": [\\\"machine-learning\\\", \\\"python\\\", \\\"automation\\\"]}'\\n```\\n\\n## 6. Branch Protection\\n\\n```bash\\n# View current protection\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/branches/main/protection\\n\\n# Set up branch protection\\ncurl -s -X PUT \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/branches/main/protection \\\\\\n  -d '{\\n    \\\"required_status_checks\\\": {\\n      \\\"strict\\\": true,\\n      \\\"contexts\\\": [\\\"ci/test\\\", \\\"ci/lint\\\"]\\n    },\\n    \\\"enforce_admins\\\": false,\\n    \\\"required_pull_request_reviews\\\": {\\n      \\\"required_approving_review_count\\\": 1\\n    },\\n    \\\"restrictions\\\": null\\n  }'\\n```\\n\\n## 7. Secrets Management (GitHub Actions)\\n\\n**With gh:**\\n\\n```bash\\ngh secret set API_KEY --body \\\"your-secret-value\\\"\\ngh secret set SSH_KEY < ~/.ssh/id_rsa\\ngh secret list\\ngh secret delete API_KEY\\n```\\n\\n**With curl:**\\n\\nSecrets require encryption with the repo's public key — more involved via API:\\n\\n```bash\\n# Get the repo's public key for encrypting secrets\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/secrets/public-key\\n\\n# Encrypt and set (requires Python with PyNaCl)\\npython3 -c \\\"\\nfrom base64 import b64encode\\nfrom nacl import encoding, public\\nimport json, sys\\n\\n# Get the public key\\nkey_id = '<key_id_from_above>'\\npublic_key = '<base64_key_from_above>'\\n\\n# Encrypt\\nsealed = public.SealedBox(\\n    public.PublicKey(public_key.encode('utf-8'), encoding.Base64Encoder)\\n).encrypt('your-secret-value'.encode('utf-8'))\\nprint(json.dumps({\\n    'encrypted_value': b64encode(sealed).decode('utf-8'),\\n    'key_id': key_id\\n}))\\\"\\n\\n# Then PUT the encrypted secret\\ncurl -s -X PUT \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/secrets/API_KEY \\\\\\n  -d '<output from python script above>'\\n\\n# List secrets (names only, values hidden)\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/secrets \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor s in json.load(sys.stdin)['secrets']:\\n    print(f\\\\\\\"  {s['name']:30}  updated: {s['updated_at']}\\\\\\\")\\\"\\n```\\n\\nNote: For secrets, `gh secret set` is dramatically simpler. If setting secrets is needed and `gh` isn't available, recommend installing it for just that operation.\\n\\n## 8. Releases\\n\\n**With gh:**\\n\\n```bash\\ngh release create v1.0.0 --title \\\"v1.0.0\\\" --generate-notes\\ngh release create v2.0.0-rc1 --draft --prerelease --generate-notes\\ngh release create v1.0.0 ./dist/binary --title \\\"v1.0.0\\\" --notes \\\"Release notes\\\"\\ngh release list\\ngh release download v1.0.0 --dir ./downloads\\n```\\n\\n**With curl:**\\n\\n```bash\\n# Create a release\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/releases \\\\\\n  -d '{\\n    \\\"tag_name\\\": \\\"v1.0.0\\\",\\n    \\\"name\\\": \\\"v1.0.0\\\",\\n    \\\"body\\\": \\\"## Changelog\\\\n- Feature A\\\\n- Bug fix B\\\",\\n    \\\"draft\\\": false,\\n    \\\"prerelease\\\": false,\\n    \\\"generate_release_notes\\\": true\\n  }'\\n\\n# List releases\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/releases \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin):\\n    tag = r.get('tag_name', 'no tag')\\n    print(f\\\\\\\"  {tag:15}  {r['name']:30}  {'draft' if r['draft'] else 'published'}\\\\\\\")\\\"\\n\\n# Upload a release asset (binary file)\\nRELEASE_ID=<id_from_create_response>\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  -H \\\"Content-Type: application/octet-stream\\\" \\\\\\n  \\\"https://uploads.github.com/repos/$OWNER/$REPO/releases/$RELEASE_ID/assets?name=binary-amd64\\\" \\\\\\n  --data-binary @./dist/binary-amd64\\n```\\n\\n## 9. GitHub Actions Workflows\\n\\n**With gh:**\\n\\n```bash\\ngh workflow list\\ngh run list --limit 10\\ngh run view <RUN_ID>\\ngh run view <RUN_ID> --log-failed\\ngh run rerun <RUN_ID>\\ngh run rerun <RUN_ID> --failed\\ngh workflow run ci.yml --ref main\\ngh workflow run deploy.yml -f environment=staging\\n```\\n\\n**With curl:**\\n\\n```bash\\n# List workflows\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/workflows \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor w in json.load(sys.stdin)['workflows']:\\n    print(f\\\\\\\"  {w['id']:10}  {w['name']:30}  {w['state']}\\\\\\\")\\\"\\n\\n# List recent runs\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  \\\"https://api.github.com/repos/$OWNER/$REPO/actions/runs?per_page=10\\\" \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin)['workflow_runs']:\\n    print(f\\\\\\\"  Run {r['id']}  {r['name']:30}  {r['conclusion'] or r['status']}\\\\\\\")\\\"\\n\\n# Download failed run logs\\nRUN_ID=<run_id>\\ncurl -s -L \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \\\\\\n  -o /tmp/ci-logs.zip\\ncd /tmp && unzip -o ci-logs.zip -d ci-logs\\n\\n# Re-run a failed workflow\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/rerun\\n\\n# Re-run only failed jobs\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/rerun-failed-jobs\\n\\n# Trigger a workflow manually (workflow_dispatch)\\nWORKFLOW_ID=<workflow_id_or_filename>\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/repos/$OWNER/$REPO/actions/workflows/$WORKFLOW_ID/dispatches \\\\\\n  -d '{\\\"ref\\\": \\\"main\\\", \\\"inputs\\\": {\\\"environment\\\": \\\"staging\\\"}}'\\n```\\n\\n## 10. Gists\\n\\n**With gh:**\\n\\n```bash\\ngh gist create script.py --public --desc \\\"Useful script\\\"\\ngh gist list\\n```\\n\\n**With curl:**\\n\\n```bash\\n# Create a gist\\ncurl -s -X POST \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/gists \\\\\\n  -d '{\\n    \\\"description\\\": \\\"Useful script\\\",\\n    \\\"public\\\": true,\\n    \\\"files\\\": {\\n      \\\"script.py\\\": {\\\"content\\\": \\\"print(\\\\\\\"hello\\\\\\\")\\\"}\\n    }\\n  }'\\n\\n# List your gists\\ncurl -s \\\\\\n  -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/gists \\\\\\n  | python3 -c \\\"\\nimport sys, json\\nfor g in json.load(sys.stdin):\\n    files = ', '.join(g['files'].keys())\\n    print(f\\\\\\\"  {g['id']}  {g['description'] or '(no desc)':40}  {files}\\\\\\\")\\\"\\n```\\n\\n## Quick Reference Table\\n\\n| Action | gh | git + curl |\\n|--------|-----|-----------|\\n| Clone | `gh repo clone o/r` | `git clone https://github.com/o/r.git` |\\n| Create repo | `gh repo create name --public` | `curl POST /user/repos` |\\n| Fork | `gh repo fork o/r --clone` | `curl POST /repos/o/r/forks` + `git clone` |\\n| Repo info | `gh repo view o/r` | `curl GET /repos/o/r` |\\n| Edit settings | `gh repo edit --...` | `curl PATCH /repos/o/r` |\\n| Create release | `gh release create v1.0` | `curl POST /repos/o/r/releases` |\\n| List workflows | `gh workflow list` | `curl GET /repos/o/r/actions/workflows` |\\n| Rerun CI | `gh run rerun ID` | `curl POST /repos/o/r/actions/runs/ID/rerun` |\\n| Set secret | `gh secret set KEY` | `curl PUT /repos/o/r/actions/secrets/KEY` (+ encryption) |\\n\", \"path\": \"github/github-repo-management/SKILL.md\", \"skill_dir\": \"/DATA/AppData/hermes/skills/github/github-repo-management\", \"linked_files\": {\"references\": [\"references/github-api-cheatsheet.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\": [\"GitHub\", \"Repositories\", \"Git\", \"Releases\", \"Secrets\", \"Configuration\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\", \"github-issues\"]}}}",
      "tool_call_id": "functions.skill_view:8"
    },
    {
      "role": "assistant",
      "content": "Nothing to save.",
      "reasoning": "Die Session war sehr kurz — der User hat nach GStack gefragt, dann nach Projektideen, und ich habe die GitHub API aufgerufen. Keine Skills wurden vom User geladen, und es gab keine Korrekturen, keine neuen Techniken, keine Fehlerbehebungen, nichts, was man als Skill speichern müsste. Die Antwort sollte \"Nothing to save.\" sein.\n\nAber warte — der System-Prompt sagt: \"'Nothing to save.' is a real option but should NOT be the default.\" Und: \"A pass that does nothing is a missed learning opportunity, not a neutral outcome.\"\n\nIch muss also aktiv suchen, ob es etwas zu speichern gibt. Was ist passiert?\n\n1. Ich habe `github-repo-management` skill_view geladen. Aber das war nur, um zu sehen, ob es dort etwas zu patchen gibt. Es gab keine Korrektur oder Erweiterung. Es war eine sehr kurze Session.\n\n2. Der User hat nichts korrigiert.\n\n3. Es gab keine non-trivialen Techniken, Workarounds, Debugging-Pfade.\n\n4. Kein Skill war wrong, missing, outdated.\n\n5. Keine style/tone/format/verbosity Korrekturen.\n\nDie Session war einfach: User fragt → Ich suche im Internet → User fragt nach Ideen → Ich schlage vor → User will GitHub-Trends → Ich hole sie → Fertig.\n\nEs gibt wirklich nichts, was sich lohnt, als Skill zu speichern. \"Nothing to save.\" ist hier korrekt.",
      "finish_reason": "stop",
      "reasoning_content": "Die Session war sehr kurz — der User hat nach GStack gefragt, dann nach Projektideen, und ich habe die GitHub API aufgerufen. Keine Skills wurden vom User geladen, und es gab keine Korrekturen, keine neuen Techniken, keine Fehlerbehebungen, nichts, was man als Skill speichern müsste. Die Antwort sollte \"Nothing to save.\" sein.\n\nAber warte — der System-Prompt sagt: \"'Nothing to save.' is a real option but should NOT be the default.\" Und: \"A pass that does nothing is a missed learning opportunity, not a neutral outcome.\"\n\nIch muss also aktiv suchen, ob es etwas zu speichern gibt. Was ist passiert?\n\n1. Ich habe `github-repo-management` skill_view geladen. Aber das war nur, um zu sehen, ob es dort etwas zu patchen gibt. Es gab keine Korrektur oder Erweiterung. Es war eine sehr kurze Session.\n\n2. Der User hat nichts korrigiert.\n\n3. Es gab keine non-trivialen Techniken, Workarounds, Debugging-Pfade.\n\n4. Kein Skill war wrong, missing, outdated.\n\n5. Keine style/tone/format/verbosity Korrekturen.\n\nDie Session war einfach: User fragt → Ich suche im Internet → User fragt nach Ideen → Ich schlage vor → User will GitHub-Trends → Ich hole sie → Fertig.\n\nEs gibt wirklich nichts, was sich lohnt, als Skill zu speichern. \"Nothing to save.\" ist hier korrekt."
    }
  ]
}