Agent skill
notion-meeting-intelligence
Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
Install this agent skill to your Project
npx add-skill https://github.com/yurake/skills/tree/main/.curated/notion-meeting-intelligence
Metadata
Additional technical details for this skill
- short description
- Prep meetings with Notion context and tailored agendas
SKILL.md
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
- Set
- 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).
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
issue-create
GitHub Issue を作成する手順。依頼を受けたとき、.github/ISSUE_TEMPLATE の内容に応じてテンプレを選び、必須項目を埋めて GitHub MCP(issue_write/create)で Issue を作成する。
ci-fail-followup
PR 作成後に .github/workflows/ci.yml が失敗したときの対応手順。ローカルで pytest 全ケースを実行し、エラー有無で分岐。エラーがあれば修正して commit-push スキルでコミット・プッシュ、無ければ GitHub Actions のログを確認して原因を特定する。
review-rules
セッションの会話から恒久的な振る舞いルールを抽出し、AGENTS.md と突き合わせて追加すべきものを提示する。出力は rules と agents_md_patch の二部構成。
pr-create
PR 作成手順を自動化するためのガイド。依頼を受けたとき、または 参照しているTODOファイル の「PR 作成」以外が完了したタイミングでタイトル・本文整形、テンプレ適用、MCP での PR 作成を行う。
architecture-patterns
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
test-risk-analyzer
あらゆる言語/スタックで潜在バグリスクを洗い出し、追加すべきテストケースを提案する。未テストのエッジケース探索や安全性確認、カバレッジ強化のテスト案提示を求められたときに使用する。
Didn't find tool you were looking for?