openclaw-skills/notion-knowledge-capture/SKILL.md
用于把对话、决策和笔记沉淀到 Notion。
npx skillsauth add seaworld008/commonly-used-high-value-skills notion-knowledge-captureInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Convert conversations and notes into structured, linkable Notion pages for easy reuse.
Use this skill when the user wants to:
Use a different skill when:
notion-meeting-intelligencenotion-research-documentationnotion-spec-to-implementationreference/ (team wiki, how-to, FAQ, decision log, learning, documentation).Notion:notion-search → Notion:notion-fetch (existing pages to update/link).Notion:notion-create-pages using the database’s schema; include summary, context, source links, and tags/owners.Notion:notion-update-page as the source evolves.Typical usage pattern:
search existing page/database
-> fetch target schema or page content
-> decide create vs update
-> write structured content
-> link related records
-> verify final page destination
Default output shape:
codex mcp add notion --url https://mcp.notion.com/mcp[features].rmcp_client = true in config.toml or run codex --enable rmcp_clientcodex mcp login notionAfter successful login, the user will have to restart codex. You should finish your answer and tell them so when they try again they can continue with Step 1.
reference/*-database.md guides; confirm required properties (title, tags, owner, status, date, relations).data_source_id before creating pages.Notion:notion-create-pages with the correct data_source_id; set properties (title, tags, owner, status, dates, relations).reference/ to structure content (section headers, checklists).Notion:notion-update-page.notion-fetch; do not guess snippets.title property is allowed.data_source_id is requiredA capture is complete when:
reference/ — database schemas and templates (e.g., team-wiki-database.md, how-to-guide-database.md, faq-database.md, decision-log-database.md, documentation-database.md, learning-database.md, database-best-practices.md).examples/ — capture patterns in practice (e.g., decision-capture.md, how-to-guide.md, conversation-to-faq.md).development
Enumerating failure modes via pre-mortem analysis. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.
testing
Orchestrating specialist AI agent teams as a meta-coordinator. Decomposes requests into minimum viable chains, spawns each as an independent session in AUTORUN modes, and drives to final output. Use when a task spans multiple specialist domains, requires parallel agent execution, or needs hub-and-spoke routing across the skill ecosystem.
development
Converting document formats (Markdown/Word/Excel/PDF/HTML). Converts specs from Scribe and reports from Harvest into distributable formats; generates reusable conversion scripts. Use when converting documents, building accessibility-compliant PDFs, or creating Pandoc/LibreOffice pipelines.
testing
Curating cross-agent knowledge and guarding institutional memory. Extracts patterns from agent journals into METAPATTERNS.md, detects knowledge decay, propagates best practices, prevents organizational forgetting. Use when consolidating cross-agent insights, curating memory, or auditing knowledge decay.