Notion Research Documentation
OpenAIOfficialCreated by Notion Labs, IncDistributed by OpenAI
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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
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/notion-research-documentation-lzcb/downloadUnzip 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
Find sources with
Notion:notion-searchusing targeted queries; confirm scope with the user.Fetch pages via
Notion:notion-fetch; note key sections and capture citations (reference/citations.md).Choose output format (brief, summary, comparison, comprehensive report) using
reference/format-selection-guide.md.Draft in Notion with
Notion:notion-create-pagesusing the matching template (quick, summary, comparison, comprehensive).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:
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) 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.mdfor 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-pagewhen 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
- ATTRIBUTION.mdAdded by AutoGineer1.0 KiB
- LICENSE.txt1.0 KiB
- SKILL.md3.3 KiB
- agents/openai.yaml497 B
- assets/notion-small.svg15.4 KiB
- assets/notion.png8.3 KiB
- evaluations/README.md4.2 KiB
- evaluations/basic-research.json1.7 KiB
- evaluations/research-to-database.json1.6 KiB
- examples/competitor-analysis.md8.0 KiB
- examples/market-research.md1.9 KiB
- examples/technical-investigation.md6.4 KiB
- examples/trip-planning.md3.7 KiB
- reference/advanced-search.md4.5 KiB
- reference/citations.md5.0 KiB
- reference/comparison-format.md870 B
- reference/comparison-template.md911 B
- reference/comprehensive-report-format.md1.1 KiB
- reference/comprehensive-report-template.md1.2 KiB
- reference/format-selection-guide.md2.7 KiB
- reference/quick-brief-format.md767 B
- reference/quick-brief-template.md473 B
- reference/research-summary-format.md841 B
- reference/research-summary-template.md1.1 KiB
examples/trip-planning.md
Example: Group Trip Research & Planning
User Request: "Research and plan our friends' trip to Japan in March - we're 6 people looking for 10 days"
Workflow
1. Search Existing Notes
Notion:notion-search
query: "Japan travel"Found: Japan Travel Guide (from friend), Tokyo Restaurants, Kyoto Temple Guide
2. Fetch & Extract Tips
Notion:notion-fetch (3x)Key info from previous travelers:
Best time: March-April (cherry blossoms)
Must-see: Tokyo, Kyoto, Osaka
Budget: $200-300/day (mid-range)
Book accommodations 3 months ahead
Get JR Pass before arrival
Top restaurants: Sushi Dai, Ichiran Ramen, Tsunahachi Tempura
3. Research & Synthesize
Combined previous traveler insights with:
Flight options and prices
Accommodation types (hotels/ryokans/Airbnb)
Transportation (JR Pass essential)
10-day itinerary structure
Budget breakdown
4. Create Comprehensive Plan
Notion:notion-create-pages
parent: { page_id: "travel-plans-parent-id" }
pages: [{
properties: {
title: "Japan Trip 2026 - March 15-25 (10 Days)"
},
content: "[Full trip plan with itinerary, budget, tips...]"
}]Output Sample
# Japan Trip 2026 - March 15-25 (10 Days)
## Trip Overview
**Dates**: March 15-25, 2026 (Cherry Blossom Season 🌸)
**Group**: 6 people | **Budget**: $3,000-4,000/person
## Itinerary Summary
**Days 1-3: Tokyo**
- Arrive, explore Shibuya, Harajuku, Shinjuku
- Visit Tsukiji Market, Imperial Palace, Sensoji Temple
- Experience Tokyo nightlife, teamLab Borderless
**Days 4-5: Hakone**
- Day trip from Tokyo
- Hot springs, Mt. Fuji views, Lake Ashi cruise
**Days 6-8: Kyoto**
- Bullet train from Tokyo
- Fushimi Inari, Kinkaku-ji, Arashiyama Bamboo Grove
- Geisha district (Gion), traditional tea ceremony
**Days 9-10: Osaka + Depart**
- Osaka Castle, Dotonbori food district
- Nara day trip (deer park, Todai-ji Temple)
- Return flight from Osaka (KIX)
## Budget Breakdown (per person)
- **Flights**: $900-1,200 (round-trip)
- **Accommodations**: $700-1,000 (9 nights)
- **JR Pass**: $280 (7-day pass)
- **Food**: $500-700 ($50-70/day)
- **Activities**: $300-400
- **Local transport**: $100
**Total**: $2,780-3,680
## Key Bookings
- **Flights**: Book 3-4 months ahead
- **Hotels**: Book now (cherry blossom season)
- Tokyo: Shinjuku area (2 nights) + Asakusa (1 night)
- Kyoto: Gion area (3 nights)
- Osaka: Namba area (2 nights)
- **JR Pass**: Order 2-3 weeks before travel
- **Restaurants**: Reserve 1 week ahead (Sushi Dai, high-end spots)
## Essential Tips
Source: <mention-page url="...">Japan Travel Guide</mention-page>
- Get pocket WiFi or eSIM on arrival
- Download: Google Translate, Hyperdia (train routes), Tabelog (restaurants)
- Cash-heavy country - withdraw at 7-Eleven ATMs
- Shoes off in temples, ryokans, some restaurants
- Trains extremely punctual - don't be late
- Learn basic phrases: arigatou, sumimasen, itadakimasu
## Packing List
- Comfortable walking shoes (10k+ steps/day)
- Light jacket (March 55-65°F)
- Backpack for day trips
- Cash pouch
- Portable charger
## Next Steps
- [ ] Book flights (target: <$1,100/person)
- [ ] Order JR Passes
- [ ] Book hotels (Tokyo → Kyoto → Osaka)
- [ ] Create shared expense tracker
- [ ] Schedule group planning call
## Sources
- <mention-page url="...">Japan Travel Guide</mention-page> (Sarah's 2024 trip)
- <mention-page url="...">Tokyo Restaurant Recommendations</mention-page>
- <mention-page url="...">Kyoto Temple Guide</mention-page>Key Takeaways
Leveraged previous traveler notes from Notion
Combined personal insights with research
Created actionable itinerary with budget breakdown
Included practical tips from experienced travelers
Set clear next steps for group coordination
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