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Notion Research Documentation

OpenAIOfficialCreated by Notion Labs, IncDistributed by OpenAI

  • Skill
  • Content generator
  • Automation and integrations
  • MIT
  • No issues found

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, analyzing, and documenting information stored within Notion. It guides the user through searching for relevant pages, extracting key facts and metrics, and synthesizing findings into structured formats such as quick briefs, comparisons, or comprehensive reports. The workflow includes specific steps for citation management and creating final documents directly within Notion, ensuring that all synthesized content remains linked to its original source material.

What it does

  • Searches and fetches content from multiple Notion pages.
  • Synthesizes research findings into structured document formats.
  • Provides templates for briefs, summaries, comparisons, and reports.
  • Manages citations and links back to original source pages.
  • Supports updating existing Notion pages with new research or status changes.
  • Includes a setup procedure for connecting the Notion MCP.

When to use it

  • When you need to aggregate information from various Notion pages into a single report.
  • When performing competitor analysis or technical investigations stored in Notion.
  • When you need to compare options or features documented across different project pages.
  • When creating executive-ready summaries or briefs from raw research notes.

Advantages

  • Ensures consistent documentation structure across different research tasks.
  • Maintains traceability by linking findings to original source pages.
  • Reduces manual effort in formatting and organizing research data.
  • Facilitates collaborative review by keeping synthesized reports within Notion.

Usage examples

“Research our recent project meeting notes in Notion and create a summary of the key decisions made.”
The agent searches for relevant meeting pages, extracts decision points, and creates a new summary page in Notion with citations.
“Compare the two product feature proposals I have saved in Notion and draft a comparison report.”
The agent fetches both proposals, identifies key tradeoffs, and generates a structured comparison document in Notion.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/openai/notion-research-documentation-lzcb/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: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

reference/format-selection-guide.md

Format Selection Guide

Choose the right output format for your research needs.

Decision Tree

Is this comparing multiple options?
  ├─ YES → Use Comparison Format
  └─ NO ↓

Is this time-sensitive or simple?
  ├─ YES → Use Quick Brief
  └─ NO ↓

Does this require formal/extensive documentation?
  ├─ YES → Use Comprehensive Report
  └─ NO → Use Research Summary (default)

Format Overview

FormatLengthWhen to UseTemplate
Research Summary500-1000 wordsMost research requests (default)Template
Comprehensive Report1500+ wordsFormal docs, strategic decisionsTemplate
Quick Brief200-400 wordsTime-sensitive, simple topicsTemplate
Comparison800-1200 wordsEvaluating optionsTemplate

Formatting Guidelines

Headings
  • Use # for title

  • Use ## for major sections

  • Use ### for subsections

  • Keep heading hierarchy consistent

Lists
  • Use - for bullet points

  • Use 1. for numbered lists

  • Keep list items parallel in structure

Emphasis
  • Use **bold** for key terms and section labels

  • Use *italic* for emphasis

  • Use sparingly for maximum impact

Citations
  • Always use <mention-page url="...">Page Title</mention-page> for source pages

  • Include citation immediately after referenced information

  • Group all sources in a "Sources" section at the end

Tables
  • Use for structured data comparison

  • Keep columns to 3-5 for readability

  • Include header row

  • Align content appropriately

Code Blocks

Use when including:

  • Technical specifications

  • Configuration examples

  • Command examples

Example code or configuration here

Content Guidelines

Executive Summaries
  • Lead with the most important finding

  • Include 1-2 key implications

  • Make it standalone (reader gets value without reading further)

  • Target 2-3 sentences for summaries, 1 paragraph for reports

Key Findings
  • Start with a clear headline

  • Support with specific evidence

  • Include relevant data points or quotes

  • Cite source immediately

  • Focus on actionable insights

Recommendations
  • Make them specific and actionable

  • Explain the "why" behind each recommendation

  • Prioritize clearly (Priority 1, 2, 3 or High/Medium/Low)

  • Include implementation hints when relevant

Source Citations
  • Link to original pages using mentions

  • Note if information is outdated (check last-edited dates)

  • Credit specific sections when quoting

  • Group related sources together

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-research-documentation · 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-research-documentation.zip