notion-meeting-intelligence▌
davila7/claude-code-templates · updated Apr 8, 2026
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Prep meetings by pulling Notion context, tailoring agendas/pre-reads, and enriching with Codex research.
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).
How to use notion-meeting-intelligence on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add notion-meeting-intelligence
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches notion-meeting-intelligence from GitHub repository davila7/claude-code-templates and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate notion-meeting-intelligence. Access the skill through slash commands (e.g., /notion-meeting-intelligence) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★73 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
Registry listing for notion-meeting-intelligence matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Li Garcia· Dec 20, 2024
Registry listing for notion-meeting-intelligence matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Li Martin· Dec 20, 2024
notion-meeting-intelligence has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Li Sanchez· Dec 4, 2024
Keeps context tight: notion-meeting-intelligence is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noah Gupta· Dec 4, 2024
I recommend notion-meeting-intelligence for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Noor Zhang· Nov 23, 2024
Registry listing for notion-meeting-intelligence matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Nia Kim· Nov 23, 2024
Useful defaults in notion-meeting-intelligence — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Piyush G· Nov 19, 2024
Keeps context tight: notion-meeting-intelligence is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ama Garcia· Nov 15, 2024
notion-meeting-intelligence is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Benjamin Chen· Nov 15, 2024
Solid pick for teams standardizing on skills: notion-meeting-intelligence is focused, and the summary matches what you get after install.
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