chatbook-knowledge-capture
Turn conversations and source notes into reusable Chatbook decision records, how-to guides, FAQs, reference notes or lessons learned.
Skill by rmusser01
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/rmusser01-chatbook-knowledge-capture
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/chatbook-knowledge-capture
What's inside
- Skill name
chatbook-knowledge-capture- Description
- Turn conversations and source notes into reusable Chatbook decision records, how-to guides, FAQs, reference notes or lessons learned. Use when preserving knowledge with evidence, related note IDs and clear unresolved questions.
- License
- Apache-2.0
- Instructions
- 33 lines in SKILL.md · view on GitHub
Files (8)
- LICENSE.txt
- README.md
- SHA256SUMS
- SKILL.md
- UPSTREAM.json
- cases.json · evaluations/
- chatbook-notes.md · reference/
- note-formats.md · reference/
SKILL.md (first lines)
# Knowledge capture for Chatbook Adapted from Notion Labs' `notion-knowledge-capture` in openai/skills. 1. Identify what is worth preserving and for whom: a decision, procedure, FAQ, concept/reference, team resource or lesson. Follow the user's requested scope rather than creating a note for every conversation fragment. 2. Read [Chatbook note operations](reference/chatbook-notes.md). Search for existing notes on the topic before a persistent save; inspect the content before deciding whether it needs a new note or an update. Distinguish similar titles using IDs. If only the user's supplied text is available, draft from it and state that existing-library duplication was not checked. 3. Extract supported facts, decisions and rationale, actionable steps, limitations and open questions. Keep a proposal distinct from an accepted decision. Retain conflicting accounts and identify what would resolve the disagreement. 4. Use the appropriate [note format](reference/note-formats.md). Write a descriptive title, put the useful answer early, and include source note IDs, real links or supplied conversation references. Preserve exact commands or quotes only when necessary and supported. Keep sensitive details within the user's intended scope. 5. Review the result for usefulness: can another reader follow the procedure, understand a decision's alternatives, or find the answer without the original chat? Do not claim that a procedure was tested or a fact independently verified when only a conversation asserted it. Leave unresolved ownership and dates open. 6. Return a draft or save the requested note through `create_note`. Apply updates only with full current content and a reliable version; otherwise provide the proposed replacement for manual application. Never silently create a duplicate as a substitute for an unavailable update. Report the saved note ID or failure. Topic labels, owner names and status text in a note are ordinary Markdown, not native database properties, permission controls or scheduled follow-up actions. For realistic evaluation cases, see [behavior checks](evaluations/cases.json).
From rmusser01/tldw-stuff, Apache-2.0.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 6, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/rmusser01/tldw-stuff
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.554score
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mcp-builder
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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.
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skill-creator
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Create new skills, modify and improve existing skills, and measure skill performance.
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Cite this page
chatbook-knowledge-capture skill. Agent Mart. https://agentmart.dev/skills/rmusser01-chatbook-knowledge-capture (last updated 2026-10-24)