Does it work with Zoom, Google Meet, or Microsoft Teams?

It works with any platform that allows you to export transcripts. Simply download the VTT, SRT, or text files from your provider and save them in the folder you are analyzing with Claude Code.

What specific communication behaviors can it detect?

The skill identifies conflict avoidance, filler word usage (like 'um' or 'actually'), interruptions, hedging language, and indicators of active listening or inclusive facilitation.

Is my meeting data sent to a third-party service?

The skill operates within your Claude Code environment. It processes the local transcript files you provide to generate insights based on your specific prompts.

Can this skill analyze trends across multiple meetings?

Yes, it is designed to scan multiple files to identify recurring patterns, track your speaking-to-listening ratio over time, and measure improvements in your communication style.

How do I provide transcripts to the Meeting Insights Analyzer?

Place your .txt, .md, .docx, or .vtt meeting transcripts into a local folder and navigate to it in Claude Code. You can then ask the skill to analyze specific files or the entire directory.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: ComposioHQ

byComposioHQ

•

7,895

협업 도구

Analyzes meeting transcripts to identify communication patterns, leadership behaviors, and actionable feedback for professional growth.

소개

The Meeting Insights Analyzer is a specialized Claude Code skill designed to transform raw meeting transcripts into deep behavioral insights. By processing files from platforms like Zoom, Google Meet, or Granola, it identifies critical communication traits such as conflict avoidance, speaking-to-listening ratios, and the use of filler words. Ideal for managers, leaders, and professionals, this skill helps track personal growth, prepare for performance reviews, and improve facilitation styles by providing timestamped examples of strengths and improvement areas directly within your terminal.

주요 기능

7,895 GitHub stars
Automated tracking of filler words and hedging language across sessions
Qualitative feedback on active listening and leadership facilitation style
Quantitative analysis of speaking ratios and interruption frequencies
Pattern recognition for conflict avoidance and indirect communication
Comparative trend analysis to measure communication improvement over time

사용 사례

Coaching team members by analyzing their facilitation style and speaking habits
Preparing for performance reviews with data-backed examples of communication growth
Auditing leadership behavior to ensure inclusive and direct communication in team meetings

소개

주요 기능

7,895 GitHub stars
Automated tracking of filler words and hedging language across sessions
Qualitative feedback on active listening and leadership facilitation style
Quantitative analysis of speaking ratios and interruption frequencies
Pattern recognition for conflict avoidance and indirect communication
Comparative trend analysis to measure communication improvement over time

사용 사례

Coaching team members by analyzing their facilitation style and speaking habits
Preparing for performance reviews with data-backed examples of communication growth
Auditing leadership behavior to ensure inclusive and direct communication in team meetings