Join Google Meet sessions to record and transcribe calls into meet.md artifacts.
npx skills add https://github.com/filipexyz/ravi --skill meetings-filipexyz
Please help me install this Agent Skill. Skill: meetings Source: https://github.com/filipexyz/ravi/tree/main/src/plugins/internal/ravi-system/skills/meetings Command: npx skills add https://github.com/filipexyz/ravi --skill meetings-filipexyz
This skill solves the challenge of losing context from live meetings by providing a native, durable way to join, record, and analyze calls without relying on stateless, one-off prompts.
Use the meetings skill to join the Google Meet at the provided URL as a visible participant and start the live recording session.
High-intent search queries and answers about installing and using this skill.
Automated Google Meet transcription is facilitated by joining the call as a visible participant, recording the session, and generating a structured transcript file with timestamps and media references for long-lived AI context.
An AI agent joins a Google Meet session by operating within the Ravi runtime, which bridges live WebRTC meeting streams into durable artifacts using a persistent Chrome profile for authenticated access.
Yes, recording Google Meet calls requires a persistent Chrome profile for authenticated access, along with integration with the google-meet provider to bridge live streams into the runtime.
Automated Google Meet recording generates a structured meet.md file containing full transcripts, timestamps, and media references that can be queried later for specific decisions or action items.
Native AI meeting capture provides a durable way to join, record, and analyze calls without losing context, unlike stateless one-off prompts that fail to retain long-lived meeting streams as structured artifacts.
Yes, after the call ends you can query the generated meet.md artifact containing transcripts, timestamps, and media references to extract specific decisions or action items from the recorded discussion.
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