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Notion Research Documentation

JetBrainsOfficialCreated by OpenAIDistributed by JetBrains

  • Skill
  • Content generator
  • Automation and integrations
  • MIT
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From the author

Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.
— the description by OpenAI

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a systematic approach to gathering, analyzing, and documenting information stored within Notion. It guides the agent through searching for relevant pages, fetching content, selecting an appropriate output format, and drafting structured documents such as briefs, summaries, or reports. The workflow emphasizes accuracy by requiring inline citations and direct links back to the original source material, ensuring that all synthesized findings are verifiable and well-organized.

What it does

  • Searches and retrieves relevant content across Notion workspaces.
  • Synthesizes raw information into structured formats like briefs or reports.
  • Provides templates for various documentation needs including comparisons and deep dives.
  • Ensures traceability by linking findings to their original source pages.
  • Supports the creation of actionable tasks or checklists within the generated documents.
  • Includes a setup procedure for connecting the Notion MCP client.

When to use it

  • When you need to consolidate information from multiple Notion pages into a single report.
  • When performing research that requires verifiable citations from internal documentation.
  • When creating executive summaries, competitor analyses, or technical investigations.
  • When you need to present findings in a standardized, professional format.

Advantages

  • Reduces manual effort in aggregating scattered information.
  • Improves documentation quality through standardized templates.
  • Increases transparency by maintaining clear links to source data.
  • Facilitates better decision-making by organizing findings into clear, actionable insights.

Usage examples

“Research our recent meeting notes in Notion and create a summary of all action items.”
The agent searches for relevant meeting pages, extracts action items, and compiles them into a structured summary document with links to the original meeting notes.
“Compare the two project proposals I have in Notion and create a comparison report.”
The agent fetches both proposal documents, identifies key tradeoffs, and generates a comparison report using the designated template.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/jetbrains/notion-research-documentation/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip notion-research-documentation.zip -d .agents/skills

Documentation by OpenAI

Research & Documentation

Pull relevant Notion pages, synthesize findings, and publish clear briefs or reports (with citations and links to sources).

Quick start

  1. Find sources with Notion:notion-search using targeted queries; confirm scope with the user.

  2. Fetch pages via Notion:notion-fetch; note key sections and capture citations (reference/citations.md).

  3. Choose output format (brief, summary, comparison, comprehensive report) using reference/format-selection-guide.md.

  4. Draft in Notion with Notion:notion-create-pages using the matching template (quick, summary, comparison, comprehensive).

  5. Link sources and add a references/citations section; update as new info arrives with Notion:notion-update-page.

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) Gather sources

  • Search first (Notion:notion-search); refine queries, and ask the user to confirm if multiple results appear.

  • Fetch relevant pages (Notion:notion-fetch), skim for facts, metrics, claims, constraints, and dates.

  • Track each source URL/ID for later citation; prefer direct quotes for critical facts.

2) Select the format

  • Quick readout → quick brief.

  • Single-topic dive → research summary.

  • Option tradeoffs → comparison.

  • Deep dive / exec-ready → comprehensive report.

  • See reference/format-selection-guide.md for when to pick each.

3) Synthesize

  • Outline before writing; group findings by themes/questions.

  • Note evidence with source IDs; flag gaps or contradictions.

  • Keep user goal in view (decision, summary, plan, recommendation).

4) Create the doc

  • Pick the matching template in reference/ (brief, summary, comparison, comprehensive) and adapt it.

  • Create the page with Notion:notion-create-pages; include title, summary, key findings, supporting evidence, and recommendations/next steps when relevant.

  • Add citations inline and a references section; link back to source pages.

5) Finalize & handoff

  • Add highlights, risks, and open questions.

  • If the user needs follow-ups, create tasks or a checklist in the page; link any task database entries if applicable.

  • Share a short changelog or status using Notion:notion-update-page when updating.

References and examples

  • reference/ — search tactics, format selection, templates, and citation rules (e.g., advanced-search.md, format-selection-guide.md, research-summary-template.md, comparison-template.md, citations.md).

  • examples/ — end-to-end walkthroughs (e.g., competitor-analysis.md, technical-investigation.md, market-research.md, trip-planning.md).

Files

evaluations/README.md

Research & Documentation Skill Evaluations

Evaluation scenarios for testing the Research & Documentation skill across different Codex models.

Purpose

These evaluations ensure the Research & Documentation skill:

  • Searches across Notion workspace effectively

  • Synthesizes information from multiple sources

  • Selects appropriate research report format

  • Creates comprehensive documentation with proper citations

  • Works consistently across Haiku, Sonnet, and Opus

Evaluation Files

basic-research.json

Tests basic research workflow with synthesis across multiple Notion pages.

Scenario: Research Q4 product roadmap and create summary
Key Behaviors:

  • Searches Notion for roadmap-related pages

  • Fetches multiple relevant pages (roadmap, product docs, meeting notes)

  • Synthesizes information from different sources

  • Selects appropriate format (Research Summary)

  • Includes citations linking back to source pages

  • Creates structured document with clear sections

research-to-database.json

Tests creating research documentation in a Notion database with properties.

Scenario: Research competitor landscape and save to Research database
Key Behaviors:

  • Searches for existing competitive intelligence in Notion

  • Identifies Research database as target

  • Fetches database schema to understand properties

  • Creates page with correct property values (Research Type, Status, Date, etc.)

  • Structures content with comparison format

  • Includes source citations for both Notion pages and external research

Running Evaluations

  1. Enable the research-documentation skill

  2. Submit the query from the evaluation file

  3. Verify the skill searches Notion workspace comprehensively

  4. Check that multiple source pages are fetched and synthesized

  5. Verify appropriate format is selected (Research Summary, Comprehensive Report, Quick Brief, Comparison)

  6. Confirm citations link back to sources

  7. Test with Haiku, Sonnet, and Opus

Expected Skill Behaviors

Research & Documentation evaluations should verify:

Notion Search & Synthesis

  • Searches workspace with relevant queries

  • Fetches multiple source pages (3-5+)

  • Synthesizes information across sources

  • Identifies patterns and insights

  • Handles conflicting information appropriately

Format Selection

  • Chooses correct format based on scope and depth:

    • Research Summary: Quick overview with key findings

    • Comprehensive Report: Deep analysis with multiple sections

    • Quick Brief: Fast facts and takeaways

    • Comparison: Side-by-side analysis

  • Applies format structure consistently

  • Uses appropriate sections and headings

Citation & Attribution

  • Includes citations for all Notion sources

  • Uses mention-page tags: <mention-page url="...">

  • Attributes findings to specific sources

  • Distinguishes between Notion content and Codex research

  • Links related documents

Document Quality

  • Title clearly indicates research topic and date

  • Executive summary or key findings upfront

  • Organized with clear hierarchy

  • Actionable insights and recommendations

  • Appropriate depth for the query

Creating New Evaluations

When adding Research & Documentation evaluations:

  1. Test different research types - Product research, competitive analysis, technical investigation, market research

  2. Vary source count - Synthesis of 2-3 pages vs. 10+ pages

  3. Test format selection - Does it choose the right format for the scope?

  4. Include database targets - Not just standalone pages

  5. Test citation accuracy - Are all sources properly attributed?

  6. Cross-workspace search - Testing search across teamspaces if applicable

Example Success Criteria

Good (specific, testable):

  • "Searches Notion for 'roadmap' and 'Q4' and 'product'"

  • "Fetches at least 3 different source pages"

  • "Includes citation for each key finding using mention-page tags"

  • "Creates page with title format 'Research: [Topic] - [Date]'"

  • "Uses Research Summary format with sections: Executive Summary → Key Findings → Details → Recommendations → Sources"

Bad (vague, untestable):

  • "Searches Notion effectively"

  • "Creates comprehensive research"

  • "Uses sources appropriately"

  • "Good documentation"

Requirements and compatibility

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

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
OpenAI
Publisher
JetBrains (Official)
Distributed by
JetBrains
Source
JetBrains/skills · notion-research-documentation · commit 3f53782
Licence
MIT License (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
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AutoGineer is not affiliated with or endorsed by OpenAI or JetBrains.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download notion-research-documentation.zip