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Notion Meeting Intelligence

JetBrainsOfficialCreated by OpenAIDistributed by JetBrains

  • Skill
  • Content generator
  • Business and productivity
  • MIT
  • No issues found
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From the author

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
— the description by OpenAI

AutoGineer summary

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

This skill provides a structured workflow for preparing effective meeting materials. It guides users through gathering context from Notion, selecting appropriate meeting templates, and enriching agendas with external research to ensure meetings are productive and well-informed.

What it does

  • Searches and fetches relevant project context, notes, and specs from Notion.
  • Provides a selection guide to choose the optimal meeting format.
  • Drafts agendas and pre-reads using standardized templates.
  • Enriches meeting materials with external industry insights and benchmarks.
  • Creates and updates meeting pages directly within Notion.
  • Links action items and follow-ups to existing Notion databases.

When to use it

  • When preparing for recurring status updates or project planning sessions.
  • When you need to gather historical context for decision-making meetings.
  • When drafting pre-read materials for stakeholders.
  • When you want to ensure meetings have clear goals, timeboxes, and assigned owners.

Advantages

  • Reduces preparation time by centralizing information from Notion.
  • Ensures consistency across different meeting types via templates.
  • Improves meeting quality by incorporating external research and clear objectives.
  • Facilitates better follow-up by linking tasks directly to Notion.

Usage examples

“Prepare a project decision meeting agenda for next Tuesday regarding the new API integration.”
The agent will search Notion for relevant API specs, select a decision-meeting template, draft an agenda with timeboxes, and add relevant industry research on API security.
“Create a pre-read document for our upcoming sprint planning meeting.”
The agent will pull the latest OKRs and backlog items from Notion, format them into a sprint planning template, and create a new page in Notion for the team to review.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/jetbrains/notion-meeting-intelligence/download

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

    mkdir -p .agents/skills && unzip notion-meeting-intelligence.zip -d .agents/skills

Documentation by OpenAI

Meeting Intelligence

Prep meetings by pulling Notion context, tailoring agendas/pre-reads, and enriching with Codex research.

Quick start

  1. Confirm meeting goal, attendees, date/time, and decisions needed.

  2. Gather context: search with Notion:notion-search, then fetch with Notion:notion-fetch (prior notes, specs, OKRs, decisions).

  3. Pick the right template via reference/template-selection-guide.md (status, decision, planning, retro, 1:1, brainstorming).

  4. Draft agenda/pre-read in Notion with Notion:notion-create-pages, embedding source links and owner/timeboxes.

  5. Enrich with Codex research (industry insights, benchmarks, risks) and update the page with Notion:notion-update-page as plans change.

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 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:notion-search), then fetch key pages (Notion: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.md to 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 Codex 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-page when 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

evaluations/README.md

Meeting Intelligence Skill Evaluations

Evaluation scenarios for testing the Meeting Intelligence skill across different Codex models.

Purpose

These evaluations ensure the Meeting Intelligence skill:

  • Gathers context from Notion workspace

  • Enriches with Codex research appropriately

  • Creates both internal pre-reads and external agendas

  • Distinguishes between Notion facts and Codex 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 Codex research (decision frameworks, migration best practices)

  • Creates comprehensive internal pre-read with recommendation

  • Creates clean, professional external agenda

  • Clearly distinguishes Notion facts from Codex 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 Codex 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

  1. Enable the meeting-intelligence skill

  2. Submit the query from the evaluation file

  3. Verify the skill searches Notion first (not Codex research)

  4. Check that TWO documents are created (internal + external)

  5. Verify Codex enrichment adds value without replacing Notion content

  6. 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

Codex Research Integration

  • Adds industry context, frameworks, or best practices

  • Enrichment is relevant and valuable (not filler)

  • Clearly distinguishes Notion facts from Codex 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:

  1. Test different meeting types - Decision, status, brainstorm, 1:1, sprint planning, retrospective

  2. Vary complexity - Simple updates vs. complex strategic decisions

  3. Test with/without Notion content - Rich workspace vs. minimal existing pages

  4. Verify enrichment value - Is Codex research genuinely helpful?

  5. 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"

  • "Codex enrichment includes decision frameworks or best practices"

Bad (vague, untestable):

  • "Creates meeting materials"

  • "Gathers context effectively"

  • "Prepares well"

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-meeting-intelligence · 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-meeting-intelligence.zip