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Notion Research Documentation

OpenAIOfficialCreated by Notion Labs, IncDistributed by OpenAI

  • 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 Notion Labs, Inc

AutoGineer summary

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

This skill provides a systematic approach to gathering information from multiple Notion sources and transforming it into professional documentation. It guides the user through searching, fetching, synthesizing, and creating structured outputs like briefs, summaries, comparisons, or comprehensive reports, ensuring all content is properly cited and linked back to the original Notion pages.

What it does

  • Searches Notion workspaces to identify relevant information sources.
  • Fetches and extracts key facts, metrics, and claims from Notion pages.
  • Provides templates for various output formats including briefs and reports.
  • Creates new Notion pages containing synthesized findings and recommendations.
  • Maintains traceability by adding citations and links to original source material.
  • Updates existing Notion reports with new information or status changes.

When to use it

  • When you need to consolidate information scattered across multiple Notion pages.
  • When preparing executive-ready reports or summaries based on internal knowledge.
  • When performing comparative analysis of options documented in Notion.
  • When you need to maintain a living document that requires periodic updates from source data.

Advantages

  • Ensures consistent documentation quality through standardized templates.
  • Reduces manual effort in cross-referencing and citing internal information.
  • Maintains clear provenance for all claims by linking directly to source pages.
  • Supports iterative updates to keep reports current as source data changes.

Usage examples

“Research our last three project retrospectives in Notion and create a summary report of common bottlenecks.”
The agent searches for the relevant retrospective pages, extracts recurring themes, and generates a structured summary report in Notion with citations to the original documents.
“Compare the two vendor evaluation pages in our workspace and draft a comparison brief.”
The agent fetches the content from both vendor pages, identifies key trade-offs, and creates a comparison document highlighting the pros and cons for decision-making.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/openai/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 Notion Labs, Inc

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:search using targeted queries; confirm scope with the user.

  2. Fetch pages via 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.

Tool-call guardrails

  • Notion tool availability can vary by workspace. If a Notion MCP call returns Tool <name> not found, treat that tool as unavailable for the rest of the current task. Do not retry it with different arguments or call it again later; use Notion:search and Notion:fetch where sufficient.

  • Use one literal search query per Notion:search call and include filters: {} when no narrower filter is needed.

  • Only fetch Notion page, database, or data-source URLs/IDs. Search results can include external connected-source URLs, which are not valid Notion:fetch inputs.

  • Create output pages with an explicit parent and a pages array.

  • When updating an existing report, fetch it first and use Notion:notion-update-page with update_content, properties: {}, and search-and-replace pairs. For property-only updates, use update_properties with content_updates: []. The current deployed schema expects both top-level fields even when one is unused. Do not invent insertion-only commands.

Workflow

0) If Notion tools are unavailable, pause and ask the user to connect the Notion app:

  1. Enable the bundled Notion app for this plugin or session.

  2. Complete the Notion auth flow if prompted.

  3. Start a new session if the tools still do not appear.

After the app is connected, finish your answer and tell the user to retry so they can continue with Step 1.

1) Gather sources

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

  • Fetch relevant pages (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 model configurations.

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 supplemental 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

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/plugins · plugins/notion/skills/notion-research-documentation · commit d420d13
Licence
MIT License (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Notion Labs, Inc or OpenAI.

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