Co-Pilot
Updated a day ago

notion-knowledge-capture

Oopenai
1.7k
openai/skills/skills/.curated/notion-knowledge-capture
76
Agent Score

💡 Summary

A skill that structures conversations and notes into linked Notion pages for wikis, how-tos, FAQs, and decision logs.

🎯 Target Audience

Technical team leads documenting decisionsProduct managers building internal wikisSupport teams creating FAQ repositoriesSoftware engineers writing post-mortems or how-to guides

🤖 AI Roast:It's a glorified Notion copy-paste assistant that requires more setup than a home theater system.

Security AnalysisMedium Risk

Risk: Inherits all permissions and data access of the linked Notion MCP server (https://mcp.notion.com/mcp), which can read/write to connected Notion workspaces. Mitigation: Strictly audit and limit the OAuth scope granted to the MCP client during the `codex mcp login notion` step.


name: notion-knowledge-capture description: Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking. metadata: short-description: Capture conversations into structured Notion pages

Knowledge Capture

Convert conversations and notes into structured, linkable Notion pages for easy reuse.

Quick start

  1. Clarify what to capture (decision, how-to, FAQ, learning, documentation) and target audience.
  2. Identify the right database/template in reference/ (team wiki, how-to, FAQ, decision log, learning, documentation).
  3. Pull any prior context from Notion with Notion:notion-searchNotion:notion-fetch (existing pages to update/link).
  4. Draft the page with Notion:notion-create-pages using the database’s schema; include summary, context, source links, and tags/owners.
  5. Link from hub pages and related records; update status/owners with Notion:notion-update-page as the source evolves.

Workflow

0) If any MCP call fails because Notion MCP is not connected, pause and set it up:

  1. Add the Notion MCP:
    • codex mcp add notion --url https://mcp.notion.com/mcp
  2. Enable remote MCP client:
    • Set [features].rmcp_client = true in config.toml or run codex --enable rmcp_client
  3. Log in with OAuth:
    • codex mcp login notion

After 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.

1) Define the capture

  • Ask purpose, audience, freshness, and whether this is new or an update.
  • Determine content type: decision, how-to, FAQ, concept/wiki entry, learning/note, documentation page.

2) Locate destination

  • Pick the correct database using reference/*-database.md guides; confirm required properties (title, tags, owner, status, date, relations).
  • If multiple candidate databases, ask the user which to use; otherwise, create in the primary wiki/documentation DB.

3) Extract and structure

  • Extract facts, decisions, actions, and rationale from the conversation.
  • For decisions, record alternatives, rationale, and outcomes.
  • For how-tos/docs, capture steps, pre-reqs, links to assets/code, and edge cases.
  • For FAQs, phrase as Q&A with concise answers and links to deeper docs.

4) Create/update in Notion

  • Use Notion:notion-create-pages with the correct data_source_id; set properties (title, tags, owner, status, dates, relations).
  • Use templates in reference/ to structure content (section headers, checklists).
  • If updating an existing page, fetch then edit via Notion:notion-update-page.

5) Link and surface

  • Add relations/backlinks to hub pages, related specs/docs, and teams.
  • Add a short summary/changelog for future readers.
  • If follow-up tasks exist, create tasks in the relevant database and link them.

References and examples

  • 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).
5-Dim Analysis
Clarity8/10
Novelty6/10
Utility9/10
Completeness8/10
Maintainability7/10
Pros & Cons

Pros

  • Provides a clear, structured workflow for knowledge management
  • Leverages existing Notion MCP for reliable integration
  • Includes reference templates for various content types (decisions, how-tos, FAQs)

Cons

  • Heavily dependent on pre-configured Notion databases and MCP setup
  • Workflow is verbose and may require significant user guidance
  • Lacks automation for extracting structure from messy conversations

Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author openai.