Notion Meeting Intelligence
JetBrainsOfficialCreated by OpenAIDistributed by JetBrains
- Skill
- Content generator
- Business and productivity
- MIT
- No issues found
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
Download the skill as a ZIP:
https://autogineer.com/agent-skills/jetbrains/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 OpenAI
Meeting Intelligence
Prep meetings by pulling Notion context, tailoring agendas/pre-reads, and enriching with Codex research.
Quick start
Confirm meeting goal, attendees, date/time, and decisions needed.
Gather context: search with
Notion:notion-search, then fetch withNotion:notion-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 Codex research (industry insights, benchmarks, risks) and update the page with
Notion:notion-update-pageas plans change.
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 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.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 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-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 AutoGineer973 B
- LICENSE.txt1.0 KiB
- SKILL.md3.4 KiB
- agents/openai.yaml512 B
- assets/notion-small.svg15.4 KiB
- assets/notion.png8.3 KiB
- evaluations/README.md3.9 KiB
- evaluations/decision-meeting-prep.json3.4 KiB
- evaluations/status-meeting-prep.json3.2 KiB
- examples/customer-meeting.md3.1 KiB
- examples/executive-review.md2.1 KiB
- examples/project-decision.md12.5 KiB
- examples/sprint-planning.md2.1 KiB
- reference/brainstorming-template.md1.4 KiB
- reference/decision-meeting-template.md1.8 KiB
- reference/one-on-one-template.md932 B
- reference/retrospective-template.md940 B
- reference/sprint-planning-template.md1.3 KiB
- reference/status-update-template.md1.3 KiB
- reference/template-selection-guide.md1.9 KiB
evaluations/decision-meeting-prep.json
{
"name": "Decision Meeting Preparation",
"skills": ["meeting-intelligence"],
"query": "Prep for tomorrow's meeting where we need to decide on our database migration approach. Create both an internal pre-read for the team and an agenda for the meeting.",
"expected_behavior": [
"Step 1: Uses Notion:notion-search to find context about database migration (project pages, technical specs, previous discussions, options analysis)",
"Step 2: Fetches at least 2-3 relevant pages using Notion:notion-fetch to gather information from Notion",
"Step 3: Identifies the decision to be made and available options from fetched Notion content",
"Step 4: Enriches with Codex research - adds decision-making frameworks (e.g., cost-benefit analysis, risk assessment), technical context for migration approaches, best practices for database migrations",
"Step 5: Distinguishes Notion facts from Codex insights in synthesis",
"Step 6: Creates INTERNAL PRE-READ using Notion:notion-create-pages with title like 'INTERNAL: Database Migration Decision - Pre-Read - [Date]'",
"Step 6a: Internal pre-read includes: Meeting overview, background context (from Notion), current status and technical details, context & insights (from Codex research on migration best practices), decision options with detailed pros/cons, recommendation with rationale, what we need from meeting",
"Step 6b: Internal pre-read marked clearly as 'INTERNAL ONLY' or 'For team only'",
"Step 7: Creates EXTERNAL AGENDA using Notion:notion-create-pages with title like 'Meeting Agenda: Database Migration Decision - [Date]'",
"Step 7a: External agenda includes: Meeting details, objective (clear decision to make), agenda items with time allocations, discussion topics, decisions needed, action items section (empty), related resources with link to pre-read",
"Step 7b: External agenda is clean, professional, focused (no internal strategy or detailed pros/cons)",
"Step 8: Links both documents together (agenda mentions pre-read, pre-read mentions agenda)",
"Both documents link to source pages using <mention-page url='...'>"
],
"success_criteria": [
"TWO documents are created (internal pre-read + external agenda), not just one",
"Internal pre-read is comprehensive with: Notion context + Codex insights + detailed pros/cons + recommendation",
"Internal pre-read is clearly marked 'INTERNAL' or 'For team only'",
"External agenda is professional, structured, focused on meeting flow (not internal strategy)",
"Codex enrichment is present and adds value (decision frameworks, migration best practices, risk patterns)",
"Notion facts are clearly sourced, Codex insights are distinguished",
"At least 2-3 Notion source pages are cited using mention-page tags",
"Internal pre-read follows structure from SKILL.md Step 5 (Meeting Overview → Background → Current Status → Context & Insights → Key Discussion Points → What We Need)",
"External agenda follows structure from SKILL.md Step 6 (Meeting Details → Objective → Agenda Items → Discussion Topics → Decisions Needed → Action Items → Related Resources)",
"Documents are cross-linked (pre-read mentions agenda, agenda mentions pre-read)",
"Meeting date is included in both titles",
"Uses correct tool names (Notion:notion-search, Notion:notion-fetch, Notion:notion-create-pages for BOTH documents)"
]
}
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
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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)
- Synced
AutoGineer is not affiliated with or endorsed by OpenAI or JetBrains.
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