Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsMeeting Action Extractor Free
Turn messy meeting transcripts into clean, structured action-item tables with clear owners and deadlines.
Free
meeting-action-extractor-free
Example session with this skill installed
Extract the action items from this transcript. Sarah said she'll finish the API docs by Friday, and someone needs to check the server logs, but we didn't say when.
- Read your context and instructions
- Compiled the meeting-action-extractor-free
Action Items
| Owner | Action | Deadline | Outcome |
|---|---|---|---|
| Sarah | Finish API documentation | Friday | Completed docs ready for review |
| [needs clarification] | Investigate server logs | [needs clarification] | Root-cause analysis |
Note: Please confirm the owner and deadline for the log investigation.
Connects securely to your tools. The creator never sees your data.
About this skill
Automated Meeting Action-Item Extraction
Drowning in meeting transcripts but struggling to find the actual "to-dos"? This skill solves the problem of manual note-taking by scanning transcripts—from Otter, Fathom, Zoom, Teams, or rough notes—to produce a single, high-fidelity action items table.
What it does
The skill first cleans your transcript, stripping out timecodes and conversational filler (ums, uhs, false starts) while preserving speaker attribution. It then identifies every commitment made during the discussion and maps them into a structured format: Owner, Action, Deadline, and Outcome.
Why use this skill
- Zero Invention: Unlike general LLMs that might hallucinate owners or dates, this skill strictly flags missing information as "[needs clarification]" if it wasn't explicitly stated.
- Outcome-Oriented: It doesn't just list tasks; it captures what "done" looks like for every item.
- Developer-Friendly: Get a clean, Markdown-formatted table that you can paste directly into Jira, GitHub Issues, or Notion.
- Clean Data: It uses specific rubric-based extraction to ensure every action starts with a strong verb and maps to a specific deliverable.
Supported Inputs
Works with text exports from all major meeting platforms including Zoom, Google Meet, Microsoft Teams, Otter.ai, and Fathom, as well as unformatted manual notes.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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