Notion Meeting Intelligence
OpenAIOfficialCreated by Notion Labs, IncDistributed by OpenAI
- Skill
- Workflow
- Business and productivity
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Notion Meeting Intelligence provides a structured workflow for preparing effective meeting materials. By leveraging Notion as a central source of truth, the skill guides users through gathering relevant project context, selecting appropriate meeting templates, and enriching agendas with external research. It ensures that meetings are goal-oriented, well-documented, and aligned with existing organizational data.
What it does
- Searches and fetches relevant project documentation, OKRs, and past notes from Notion.
- Provides a selection of standardized templates for various meeting types including status updates, decisions, and retrospectives.
- Drafts comprehensive agendas and pre-read materials directly in Notion.
- Enriches meeting content with supplemental industry research and benchmarks.
- Facilitates the creation and linking of follow-up tasks within Notion databases.
- Maintains meeting documentation through iterative updates and changelogs.
When to use it
- When you need to prepare for a recurring meeting like a status update or 1:1.
- When planning a high-stakes decision-making session that requires historical context.
- When you need to synthesize project specs and OKRs into a clear, actionable agenda.
- When you want to ensure all meeting attendees have access to consistent pre-read materials.
Advantages
- Reduces preparation time by automating the retrieval of context from Notion.
- Ensures meeting consistency through the use of standardized, proven templates.
- Improves meeting outcomes by clearly defining goals, owners, and timeboxes.
- Keeps documentation centralized and up-to-date within the existing Notion workspace.
Usage examples
- “Prepare an agenda for our upcoming sprint planning meeting.”
- The agent will search for relevant project specs and OKRs in Notion, select the sprint planning template, and draft a structured agenda with assigned owners and timeboxes.
- “Help me draft a pre-read for a decision meeting regarding the new API integration.”
- The agent will fetch existing technical documentation, identify key risks, and create a Notion page containing the background context and the specific decision points needed.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/notion-meeting-intelligence/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip notion-meeting-intelligence.zip -d .agents/skills
Documentation by Notion Labs, Inc
Meeting Intelligence
Prep meetings by pulling Notion context, tailoring agendas/pre-reads, and enriching with supplemental research.
Quick start
Confirm meeting goal, attendees, date/time, and decisions needed.
Gather context: search with
Notion:search, then fetch withNotion:fetch(prior notes, specs, OKRs, decisions).Pick the right template via
reference/template-selection-guide.md(status, decision, planning, retro, 1:1, brainstorming).Draft agenda/pre-read in Notion with
Notion:notion-create-pages, embedding source links and owner/timeboxes.Enrich with supplemental research (industry insights, benchmarks, risks) and update the page with
Notion:notion-update-pageas plans change.
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; useNotion:searchandNotion:fetchwhere sufficient.Use one literal search query per
Notion:searchcall and includefilters: {}when no narrower filter is needed.Only fetch Notion page, database, or data-source URLs/IDs; external connected-source search results are not valid
Notion:fetchinputs.Create meeting pages with an explicit
parentand apagesarray.Query databases with
Notion:notion-query-data-sourcesunder a top-leveldataobject, using fetchedcollection://...URLs as table names.When editing a page, fetch its current content first and use
Notion:notion-update-pagewith supported commands such asupdate_contentorupdate_properties; on the current deployed surface, useproperties: {}forupdate_contentandcontent_updates: []forupdate_properties. Do not invent insertion-only commands.
Workflow
0) If Notion tools are unavailable, pause and ask the user to connect the Notion app:
Enable the bundled Notion app for this plugin or session.
Complete the Notion auth flow if prompted.
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 inputs
Ask for objective, desired outcomes/decisions, attendees, duration, date/time, and prior materials.
Search Notion for relevant docs, past notes, specs, and action items (
Notion:search), then fetch key pages (Notion:fetch).Capture blockers/risks and open questions up front.
2) Choose format
Status/update → status template.
Decision/approval → decision template.
Planning (sprint/project) → planning template.
Retro/feedback → retrospective template.
1:1 → one-on-one template.
Ideation → brainstorming template.
Use
reference/template-selection-guide.mdto confirm.
3) Build the agenda/pre-read
Start from the chosen template in
reference/and adapt sections (context, goals, agenda, owner/time per item, decisions, risks, prep asks).Include links to pulled Notion pages and any required pre-reading.
Assign owners for each agenda item; call out timeboxes and expected outputs.
4) Enrich with research
Add concise supplemental research where helpful: market/industry facts, benchmarks, risks, best practices.
Keep claims cited with source links; separate fact from opinion.
5) Finalize and share
Add next steps and owners for follow-ups.
If tasks arise, create/link tasks in the relevant Notion database.
Update the page via
Notion:notion-update-pagewhen details change; keep a brief changelog if multiple edits.
References and examples
reference/— template picker and meeting templates (e.g.,template-selection-guide.md,status-update-template.md,decision-meeting-template.md,sprint-planning-template.md,one-on-one-template.md,retrospective-template.md,brainstorming-template.md).examples/— end-to-end meeting preps (e.g.,executive-review.md,project-decision.md,sprint-planning.md,customer-meeting.md).
Files
- ATTRIBUTION.mdAdded by AutoGineer1.0 KiB
- LICENSE.txt1.0 KiB
- SKILL.md4.3 KiB
- agents/openai.yaml327 B
- assets/notion-small.svg1.5 KiB
- assets/notion.png8.3 KiB
- evaluations/README.md4.0 KiB
- evaluations/decision-meeting-prep.json3.4 KiB
- evaluations/status-meeting-prep.json3.2 KiB
- examples/customer-meeting.md3.2 KiB
- examples/executive-review.md2.4 KiB
- examples/project-decision.md12.5 KiB
- examples/sprint-planning.md2.5 KiB
- reference/brainstorming-template.md1.4 KiB
- reference/decision-meeting-template.md1.8 KiB
- reference/one-on-one-template.md931 B
- reference/retrospective-template.md939 B
- reference/sprint-planning-template.md1.3 KiB
- reference/status-update-template.md1.3 KiB
- reference/template-selection-guide.md1.9 KiB
evaluations/README.md
Meeting Intelligence Skill Evaluations
Evaluation scenarios for testing the Meeting Intelligence skill across different model configurations.
Purpose
These evaluations ensure the Meeting Intelligence skill:
Gathers context from Notion workspace
Enriches with supplemental research appropriately
Creates both internal pre-reads and external agendas
Distinguishes between Notion facts and supplemental insights
Works consistently across Haiku, Sonnet, and Opus
Evaluation Files
decision-meeting-prep.json
Tests preparation for a decision-making meeting.
Scenario: Prep for database migration decision meeting Key Behaviors:
Searches Notion for migration context (specs, discussions, options)
Fetches 2-3 relevant pages
Enriches with supplemental research (decision frameworks, migration best practices)
Creates comprehensive internal pre-read with recommendation
Creates clean, professional external agenda
Clearly distinguishes Notion facts from supplemental insights
Cross-links both documents
status-meeting-prep.json
Tests preparation for a status update or review meeting.
Scenario: Prep for project status review Key Behaviors:
Gathers project metrics and progress from Notion
Fetches relevant pages (roadmap, tasks, milestones)
Adds supplemental context (industry benchmarks, best practices)
Creates internal pre-read with honest assessment
Creates external agenda with structured flow
Includes source citations using mention-page tags
Time-boxes agenda items
Running Evaluations
Enable the
meeting-intelligenceskillSubmit the query from the evaluation file
Verify the skill searches Notion first (not supplemental research)
Check that TWO documents are created (internal + external)
Verify supplemental enrichment adds value without replacing Notion content
Test with Haiku, Sonnet, and Opus
Expected Skill Behaviors
Meeting Intelligence evaluations should verify:
Notion Context Gathering
Searches workspace for relevant context first
Fetches specific pages (not generic)
Extracts key information from Notion content
Cites sources using mention-page tags
Supplemental Research Integration
Adds industry context, frameworks, or best practices
Enrichment is relevant and valuable (not filler)
Clearly distinguishes Notion facts from supplemental insights
Research complements (doesn't replace) Notion content
Two-Document Creation
Internal Pre-Read: Comprehensive, includes strategy, recommendations, detailed pros/cons
External Agenda: Professional, focused on meeting flow, no internal strategy
Both documents are clearly labeled
Documents are cross-linked
Document Quality
Pre-read follows structure: Overview → Background → Current Status → Context & Insights → Discussion Points
Agenda follows structure: Details → Objective → Agenda Items (with times) → Decisions → Actions → Resources
Titles include date or meeting context
Content is actionable and meeting-ready
Creating New Evaluations
When adding Meeting Intelligence evaluations:
Test different meeting types - Decision, status, brainstorm, 1:1, sprint planning, retrospective
Vary complexity - Simple updates vs. complex strategic decisions
Test with/without Notion content - Rich workspace vs. minimal existing pages
Verify enrichment value - Is supplemental research genuinely helpful?
Check internal/external distinction - Is sensitive info kept in pre-read only?
Example Success Criteria
Good (specific, testable):
"Creates TWO documents (internal pre-read + external agenda)"
"Internal pre-read marked 'INTERNAL ONLY' or 'For team only'"
"Cites at least 2-3 Notion pages using mention-page tags"
"Agenda includes time allocations for each section"
"Supplemental enrichment includes decision frameworks or best practices"
Bad (vague, untestable):
"Creates meeting materials"
"Gathers context effectively"
"Prepares well"
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-meeting-intelligence · 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.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download notion-meeting-intelligence.zip