OpenClaw for Meeting Notes & Summaries
Turn meeting recordings and transcripts into structured summaries with action items, decisions, and follow-ups in seconds.
The Problem
Meetings produce decisions, action items, and context that get lost without proper notes. Manual note-taking is distracting -- the person taking notes cannot fully participate. And meeting recordings pile up unwatched because nobody has time to rewatch a 60-minute call.
The information exists in transcripts and recordings, but extracting the signal from the noise takes nearly as long as the meeting itself.
How a KiwiClaw Agent Handles It
A KiwiClaw agent processes meeting transcripts (or audio via the Whisper skill) and produces structured output:
- Identifies key decisions made during the meeting
- Extracts action items with owners and deadlines
- Lists open questions and unresolved topics
- Generates a 3-sentence executive summary for stakeholders
- Creates detailed notes with timestamps for reference
- Posts summaries to Slack and creates tasks in Trello or Notion
Example
"Summarize this meeting transcript. Output: (1) Executive summary (3 sentences), (2) Decisions made, (3) Action items with owners and deadlines, (4) Open questions. Post the summary to #product-team on Slack and create Trello cards for each action item."
The agent parses the full transcript, identifies speakers, extracts structured data, posts a clean summary to Slack, and creates individual Trello cards for each action item with assignees and deadlines.
Who This Is For
- Product teams running daily standups, sprint planning, and retros
- Leadership teams needing executive summaries from strategy meetings
- Sales teams documenting client calls and follow-up actions
- Project managers tracking action items across multiple meetings
Get Started
Use the Meeting Summarizer template or follow our meeting summary guide.
Frequently Asked Questions
Can it handle audio recordings or just text transcripts?
Both. Upload text transcripts from Zoom, Google Meet, or Otter.ai directly. For audio recordings, install the OpenAI Whisper skill to transcribe MP3, WAV, or M4A files first, then summarize.
How accurate are the action item extractions?
Very accurate for meetings where speakers clearly state commitments and deadlines. For less structured meetings, the agent infers action items from context. Review and adjust as needed -- the agent improves with feedback.
Can it track action items across multiple meetings?
Yes. The agent remembers previous meeting summaries and can cross-reference action items from last week against this week to identify completed, in-progress, and overdue items.