Notion Knowledge Capture
OpenAIOfficialCreated by Notion Labs, IncDistributed by OpenAI
- Skill
- Workflow
- Automation and integrations
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a systematic approach for capturing information from ongoing conversations and turning it into structured, linkable content within Notion. It guides the user through defining the content type, identifying the appropriate database, extracting key information, and creating or updating pages using standardized templates. The workflow ensures that knowledge is not lost in chat logs but is instead integrated into a team's wiki, decision logs, or documentation systems.
What it does
- Defines the purpose and audience for captured information.
- Identifies the correct Notion database and schema for the content type.
- Extracts key facts, decisions, and rationale from conversations.
- Creates or updates structured pages using predefined templates.
- Links new content to existing hub pages and related records.
- Handles initial setup and authentication for the Notion integration.
When to use it
- When you need to turn a brainstorming session into a formal decision log.
- When converting technical discussions into a reusable how-to guide.
- When summarizing team chats into FAQ entries or wiki pages.
- When documenting learnings or project notes for future reference.
Advantages
- Ensures consistency across documentation through standardized templates.
- Reduces information fragmentation by linking new content to existing hubs.
- Provides a clear, repeatable process for knowledge management.
- Facilitates better team collaboration by making information discoverable.
Usage examples
- “Can you turn our recent discussion about the API migration into a decision log entry?”
- The agent will extract the alternatives, rationale, and final decision from the chat and create a structured page in your Notion decision log database.
- “Create a how-to guide for setting up the local environment based on our chat.”
- The agent will identify the how-to database, structure the steps and prerequisites, and create a new page in Notion with the appropriate tags and links.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/openai/notion-knowledge-capture-lh2r/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip notion-knowledge-capture.zip -d .agents/skills
Documentation by Notion Labs, Inc
Knowledge Capture
Convert conversations and notes into structured, linkable Notion pages for easy reuse.
Quick start
Clarify what to capture (decision, how-to, FAQ, learning, documentation) and target audience.
Identify the right database/template in
reference/(team wiki, how-to, FAQ, decision log, learning, documentation).Pull any prior context from Notion with
Notion:notion-search→Notion:notion-fetch(existing pages to update/link).Draft the page with
Notion:notion-create-pagesusing the database’s schema; include summary, context, source links, and tags/owners.Link from hub pages and related records; update status/owners with
Notion:notion-update-pageas the source evolves.
Workflow
0) If any MCP call fails because Notion MCP is not connected, pause and set it up:
Add the Notion MCP:
codex mcp add notion --url https://mcp.notion.com/mcp
Enable remote MCP client:
Set
[features].rmcp_client = trueinconfig.tomlor runcodex --enable rmcp_client
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.mdguides; 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-pageswith the correctdata_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).
Files
- ATTRIBUTION.mdAdded by AutoGineer1017 B
- LICENSE.txt1.0 KiB
- SKILL.md3.2 KiB
- agents/openai.yaml512 B
- assets/notion-small.svg15.4 KiB
- assets/notion.png8.3 KiB
- evaluations/README.md3.4 KiB
- evaluations/conversation-to-wiki.json2.0 KiB
- evaluations/decision-record.json2.2 KiB
- examples/conversation-to-faq.md15.9 KiB
- examples/decision-capture.md3.5 KiB
- examples/how-to-guide.md2.8 KiB
- reference/database-best-practices.md2.8 KiB
- reference/decision-log-database.md2.0 KiB
- reference/documentation-database.md2.7 KiB
- reference/faq-database.md2.0 KiB
- reference/how-to-guide-database.md1.2 KiB
- reference/learning-database.md1.3 KiB
- reference/team-wiki-database.md927 B
reference/team-wiki-database.md
Team Wiki Database
Purpose: Centralized team knowledge and resources.
Schema
| Property | Type | Options | Purpose |
|---|---|---|---|
| Title | title | - | Page name |
| Section | select | Getting Started, Processes, Tools, Reference, Onboarding | Wiki organization |
| Tags | multi_select | - | Topic tags |
| Owner | people | - | Page maintainer |
| Last Updated | last_edited_time | - | Auto-tracked |
| Visibility | select | Public, Team Only, Confidential | Access level |
Usage
Use for team-specific documentation that doesn't fit other databases.
Best Practices
Organize by sections: Use clear top-level organization
Assign owners: Every page should have a maintainer
Control visibility: Set appropriate access levels
Link extensively: Connect related pages
Keep current: Regular reviews to remove outdated content
Requirements and compatibility
Written for: OpenAI Codex
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
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Attribution and licence
- Created by
- Notion Labs, Inc
- Publisher
- OpenAI (Official)
- Distributed by
- OpenAI
- Source
- openai/skills · skills/.curated/notion-knowledge-capture · commit 49f948f
- Licence
- MIT License (redistribution allowed)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Notion Labs, Inc or OpenAI.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download notion-knowledge-capture.zip