Meeting Notes
outline/outline
Create meeting notes in Outline from a template; use when the user wants an agenda, notes, or a follow-up document for a meeting.
Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails.
Install Meeting Intelligence
$ npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OneWave-AI/claude-skills meeting-intelligence --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/meeting-intelligence .claude/skills/meeting-intelligence && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "meeting-intelligence" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/meeting-intelligence into .claude/skills/meeting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-intelligence", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OneWave-AI/claude-skills/tree/main/meeting-intelligenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OneWave-AI/claude-skills meeting-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/meeting-intelligence .agents/skills/meeting-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meeting-intelligence" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/meeting-intelligence into .agents/skills/meeting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-intelligence", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OneWave-AI/claude-skills meeting-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/meeting-intelligence .cursor/skills/meeting-intelligence && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "meeting-intelligence" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/meeting-intelligence into .cursor/skills/meeting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-intelligence", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OneWave-AI/claude-skills.git --path meeting-intelligence--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OneWave-AI/claude-skills meeting-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/meeting-intelligence .gemini/skills/meeting-intelligence && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "meeting-intelligence" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/meeting-intelligence into .gemini/skills/meeting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-intelligence", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OneWave-AI/claude-skills meeting-intelligenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/meeting-intelligence .github/skills/meeting-intelligence && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "meeting-intelligence" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/meeting-intelligence into .github/skills/meeting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-intelligence", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OneWave-AI/claude-skills meeting-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/meeting-intelligence .opencode/skills/meeting-intelligence && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "meeting-intelligence" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/meeting-intelligence into .opencode/skills/meeting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-intelligence", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
meeting-intelligence- GitHub stars
- 336
- Token cost
- ~1.1k tokens
- SKILL.md length
- 373 words
- Files
- 1
- Skills in repo
- 69
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails.
- Works in 7 steps: Extract Meeting Metadata → Identify Decisions Made → Extract Action Items → …
- User provides meeting notes
- SKILL.md covers When to Use This Skill, Instructions, Output Format and Examples, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Meeting Intelligence is an agent skill from OneWave-AI/claude-skills. Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails. Use when user provides meeting notes, transcripts, or recordings and needs structured summaries or action tracking.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Meeting notes and agendas. The repository describes itself as: 200+ production-ready Claude Code skills for sales, marketing, design, engineering, and AI agent architecture. Built and maintained by OneWave AI. The licence is MIT.
When your agent uses it
- User provides meeting notes
- Recordings and needs structured summaries
- Action tracking
Example prompts
- “/meeting-intelligence”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Extract Meeting Metadata
- Identify Decisions Made
- Extract Action Items
- Identify Blockers and Risks
- Analyze Discussion Sentiment
- Extract Key Topics Discussed
- Generate Follow-Up Communications
What it can do on your machine
Read from SKILL.md and the folder at commit fc5b785. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Meeting Intelligence loads about 1.1k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 373 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from OneWave-AI/claude-skills at commit fc5b785, republished under its MIT licence (© OneWave-AI). 373 words, ~1,136 tokens.
Download SKILL.mdSave it as
.claude/skills/meeting-intelligence/SKILL.md (or your agent's skills folder).- name
- meeting-intelligence
- description
- Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails. Use when user provides meeting notes, transcripts, or recordings and needs structured summaries or action tracking.
Meeting Intelligence System
Transform meeting transcripts into actionable insights, decisions, and follow-ups.
When to Use This Skill
Activate when the user:
- Provides a meeting transcript or recording
- Asks to "analyze this meeting"
- Needs action items extracted from notes
- Wants to generate meeting minutes
- Asks for decisions made in a meeting
- Needs a follow-up email created
- Mentions meeting notes or transcripts
Instructions
Extract Meeting Metadata
- Identify meeting title/topic
- Note participants (if mentioned)
- Determine meeting date/time (if available)
- Identify meeting type (standup, planning, retrospective, etc.)
Identify Decisions Made
- Extract all explicit decisions
- Note who made each decision (if clear)
- Include rationale for decisions (if stated)
- Flag tentative decisions vs. final decisions
- Note decisions that need follow-up approval
Extract Action Items
- List all tasks assigned or volunteered
- Identify owner for each action item
- Note deadlines or timeframes mentioned
- Flag action items without clear owners
- Prioritize action items (if priority discussed)
- Note dependencies between action items
Identify Blockers and Risks
- Extract mentioned blockers
- Note risks or concerns raised
- Identify unresolved issues
- Flag items needing escalation
- Note resource constraints mentioned
Analyze Discussion Sentiment
- Gauge overall meeting tone (productive, tense, confused, aligned)
- Identify areas of agreement and disagreement
- Note team morale indicators
- Flag conflict or tension points
Extract Key Topics Discussed
- Summarize main discussion points
- Note questions raised
- Identify topics needing follow-up
- Highlight important context or background
Generate Follow-Up Communications
- Create meeting minutes/summary
- Draft action item tracking email
- Suggest calendar invites for follow-ups
- Recommend next steps
Show full SKILL.md (126 more words)Show less
Output Format
# Meeting Summary: [Title]
**Date**: [Date] | **Participants**: [Names]
## Executive Summary
[2-3 sentence overview of meeting purpose and outcome]
## Decisions Made
1. **[Decision]**
- Owner: [Name]
- Rationale: [Why]
- Status: Final / Needs approval
## Action Items
| Priority | Action | Owner | Deadline | Status |
|----------|--------|-------|----------|--------|
| High | [Task] | [Name] | [Date] | Not started |
| Medium | [Task] | [Name] | [Date] | Not started |
## Blockers & Risks
1. **[Blocker]** - [Impact] - Needs: [Action]
2. **[Risk]** - [Mitigation plan]
## Key Discussion Points
- [Topic 1]: [Summary]
- [Topic 2]: [Summary]
## Open Questions
1. [Question] - Owner: [Who will answer]
## Sentiment Analysis
- **Overall Tone**: [productive/tense/etc.]
- **Team Alignment**: [high/medium/low]
- **Concerns Raised**: [Summary]
## Follow-Up Email Draft
Subject: Action Items from [Meeting Title] - [Date]
Hi team,
Thanks for joining today's [meeting type]. Here are our key outcomes:
**Decisions:**
- [Decision 1]
**Your Action Items:**
[Name]: [Task] by [Date]
**Blockers:**
- [Blocker] - please [action]
Next meeting: [Date/Time]
Best,
[Your name]Examples
User: "Analyze this standup transcript" Response: Extract blockers mentioned → List action items per person → Flag impediments → Note team velocity concerns → Generate summary with focus on blockers
User: "Create action items from this product planning meeting" Response: Identify all decisions (feature prioritization) → Extract action items (design mockups, tech spec) → Assign owners → Set deadlines → Create tracking table → Draft follow-up email
Best Practices
- Be specific with action items (not vague "look into X")
- Always try to identify owners (flag if unclear)
- Differentiate between decisions and proposals
- Preserve important context for decisions
- Flag action items without deadlines
- Note commitments made by each participant
- Include relevant quotes for controversial decisions
- Use clear, scannable formatting
- Prioritize action items by urgency
- Flag dependencies between tasks
- Generate professional, actionable follow-up emails
© OneWave-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in meeting-intelligence of OneWave-AI/claude-skills.
Open the folder on GitHubat commit fc5b785
Compare with similar skills
Meeting Intelligence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Meeting Intelligence this skillOneWave-AI/claude-skills | 336 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Meeting Notesoutline/outline | 41k | — | ~551 | Automated safety check: Pass | Custom licence | |
| Management Talkthananon/9arm-skills | 3.2k | — | ~3.2k | Automated safety check: Pass | None | |
| Challenge Baseline ModelAgibotTech/genie_sim | 1.4k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Handwriting Stand Uplimin112/min-skill | 454 | — | ~2.5k | Automated safety check: Pass | None | |
| Daily Journalravila4/claude-adhd-skills | 158 | — | ~2.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Meeting Intelligence
What does Meeting Intelligence do?
Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails. Meeting Intelligence is an agent skill from OneWave-AI/claude-skills. Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails.
When should I use Meeting Intelligence?
Meeting Intelligence fits situations like: user provides meeting notes; recordings and needs structured summaries; action tracking.
How do I install Meeting Intelligence in Claude Code?
Run `npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a claude-code`. Or copy the skill folder (meeting-intelligence in OneWave-AI/claude-skills) into .claude/skills/meeting-intelligence in your project. Claude Code loads it when a task matches its description.
How do I install Meeting Intelligence in Codex?
Run `npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a codex`. Or copy the skill folder (meeting-intelligence in OneWave-AI/claude-skills) into .agents/skills/meeting-intelligence in your project. Codex loads it when a task matches its description.
Can I use Meeting Intelligence in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OneWave-AI/claude-skills --skill meeting-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meeting-intelligence, .gemini/skills/meeting-intelligence, .github/skills/meeting-intelligence and .opencode/skills/meeting-intelligence in your project.
What does Meeting Intelligence need to run?
SKILL.md names no scripts, command-line tools or credentials: Meeting Intelligence is instructions for the agent only.
Does Meeting Intelligence access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Meeting Intelligence safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Meeting Intelligence use?
Meeting Intelligence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Meeting Intelligence use?
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Meeting Intelligence?
Skills that share tags, products or a category with Meeting Intelligence: Meeting Notes (outline/outline, 41k stars), Management Talk (thananon/9arm-skills, 3.2k stars), Challenge Baseline Model (AgibotTech/genie_sim, 1.4k stars) and Handwriting Stand Up (limin112/min-skill, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meeting Intelligence?
OneWave-AI (a GitHub organization) maintains it in OneWave-AI/claude-skills, which has 336 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.
Source: OneWave-AI/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.