meeting-participant

Join video meetings as a silent notetaker and extract decisions, actions, and knowledge from transcripts.

2|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/metric-space-ai/ctox --skill meeting-participant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meeting-participant
Source: https://github.com/metric-space-ai/ctox/tree/main/skills/system/communication/meeting-participant
Command: npx skills add https://github.com/metric-space-ai/ctox --skill meeting-participant

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CTOX mission work requires that meeting outcomes be captured as durable knowledge. Standalone notes or recap files do not suffice unless decisions, blockers, or commitments are reflected in the runtime state.

Core Features & Use Cases

  • Joins video meetings as a silent notetaker to capture audio for transcription and monitor the chat.
  • Responds to live @CTOX mentions with concise, data-informed answers.
  • Processes transcripts after meetings to extract Decisions, Actions, Open Questions, and Knowledge entries for the runtime state.

Quick Start

Tell CTOX to join the next meeting as a silent notetaker and begin processing the transcript.

Frequently Asked Questions about meeting-participant

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract action items and decisions from a meeting transcript?

Processing meeting transcripts after a call extracts Decisions, Actions, Open Questions, and Knowledge entries for runtime state. This converts conversations into durable knowledge by capturing decisions, blockers, and commitments automatically.

Can I use an AI notetaker to join live video meetings and monitor chat?

Yes, you can join video meetings as a silent notetaker to capture audio for transcription and monitor chat. It coordinates transcription capture and chat monitoring while waiting for live mentions to trigger responses.

What is the best way to automate live meeting participation and knowledge extraction?

Automating live meeting participation involves joining calls, monitoring chat, and processing transcripts to extract knowledge. This approach responds to live mentions and generates actionable items and context entries for runtime state.

Does meeting transcript processing work for scheduled join tasks and post-meeting recordings?

Meeting transcript processing works for scheduled join tasks, live mentions, and post-meeting transcripts. It extracts decisions, actions, and knowledge from discussions to generate context entries for runtime state.

When do I need to convert meeting conversations into durable knowledge entries?

You need to convert conversations into durable knowledge when mission work requires meeting outcomes to be reflected in runtime state. Standalone notes or recap files do not suffice; decisions, blockers, and commitments must be extracted as actionable items.

How do I respond to live mentions during a meeting with data-informed answers?

Responding to live mentions during a meeting requires monitoring chat and providing concise, data-informed answers. The Skill coordinates transcription capture and chat monitoring while generating actionable items for runtime state.