coach

To analyze meeting transcripts for coaching feedback, use this Skill to assess contributions against 7 director lenses. It parses your meeting transcripts to generate detailed feedback, missed moments, and lens scores.

The 7 director lenses are evaluation criteria used to assess meeting contributions. This Skill scores participant performance against these lenses to identify missed moments and provide comprehensive coaching feedback.

Yes, Fellow meeting transcripts are supported through Fellow integration dependencies. The Skill syncs and searches meetings via Fellow, retrieves the transcripts, and parses them to evaluate contributions against the director lenses.

You can get meeting analysis for the last 7 days by executing the /coach command. This triggers the Skill to sync your recent meetings, parse the transcripts, and generate coaching feedback based on your contributions.

Running transcript analysis requires Python scripts for parsing and assessment, alongside Fellow meeting integration dependencies. These components extract meeting data, parse the transcripts, and evaluate contributions against the 7 director lenses.

A limitation of automated meeting coaching feedback is that it relies entirely on transcript parsing and the 7 director lenses framework. It evaluates spoken contributions but may miss non-verbal meeting context or external performance factors.