Agent skill · Workflow & Productivity

notion-meeting-intelligence

Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.

Prat011github.com/Prat011GitHub ↗
claude-codecodex
Install
npx skills add Prat011/awesome-llm-skills --skill notion-meeting-intelligence --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 17
SKILL.md size: 11 KB
Bundled scripts: none
Path: notion-meeting-intelligence/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,435
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Meeting Intelligence Prepares you for meetings by gathering context from Notion, enriching it with Claude research, and creating comprehensive meeting materials. Generates both an internal pre-read for attendees and an external-facing agenda for the meeting itself. ## Quick Start When asked to prep for a meeting: 1. **Gather Notion context**: Use `Notion:notion-search` to find related pages 2. **Fetch details**: Use `Notion:notion-fetch` to read relevant content 3. **Enrich with research**: Use Claude's knowledge to add context, industry insights, or best practices 4. **Create internal pre-read**: Use `Notion:notion-create-pages` for background context document (for attendees) 5. **Create external agenda**: Use `Notion:notion-create-pages` for meeting agenda (shared with all participants) 6. **Link resources**: Connect both docs to related projects and each other ## Meeting Prep Workflow ### Step 1: Understand meeting context ``` Collect meeting details: - Meeting topic/title - Attendees (internal team + external participants) - Meeting purpose (decision, brainstorm, status update, customer demo, etc.) - Meeting type (internal only vs. external participants) - Related project/ini

What's inside
Steps it walks through
  1. Quick Start
  2. Meeting Prep Workflow
  3. Step 1: Understand meeting context
  4. Step 2: Search for Notion context
  5. Step 3: Fetch and analyze Notion content
  6. Step 4: Enrich with Claude research
  7. Step 5: Create internal pre-read
  8. Step 6: Create external agenda
  9. Step 7: Link documents
  10. Document Types
  11. Internal Pre-Read (for team)
  12. External Agenda (for all participants)
  13. Agenda Types by Meeting Purpose
  14. Research Enrichment Patterns
Ships with 16 files
  • .DS_Store
  • evaluations/.DS_Store
  • evaluations/README.md
  • evaluations/decision-meeting-prep.json
  • evaluations/status-meeting-prep.json
  • examples/customer-meeting.md
  • examples/executive-review.md
  • examples/project-decision.md
  • examples/sprint-planning.md
  • reference/brainstorming-template.md
  • reference/decision-meeting-template.md
  • reference/one-on-one-template.md
  • reference/retrospective-template.md
  • reference/sprint-planning-template.md
  • reference/status-update-template.md
  • reference/template-selection-guide.md
More from awesome-llm-skills
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About this skill
What does the notion-meeting-intelligence skill do?

Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.

How do I install it?

Run `npx skills add Prat011/awesome-llm-skills --skill notion-meeting-intelligence --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Prat011/awesome-llm-skills, a repository with 1,435 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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