What transcript formats are supported?

The skill can scan and analyze common text-based transcript formats including .txt, .md, .vtt, .srt, and .docx files.

Does this require a specific meeting platform?

No, it works with any transcript exported from platforms like Zoom, Google Meet, Microsoft Teams, Granola, or Otter.ai, as long as the files are stored locally.

Can it compare my performance across different meetings?

Yes, the skill is specifically designed to recognize trends and changes in your communication style by analyzing multiple files or comparing different folders over time.

How do I start an analysis with this skill?

Navigate to the folder containing your meeting transcripts in Claude Code and ask the agent to analyze the meetings for specific behaviors like interruptions or speaking ratios.

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

The analysis is performed within the Claude Code environment using the data you provide in your local directories, ensuring your sensitive meeting transcripts remain under your control.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: QuyDatSadBoy

byQuyDatSadBoy

생산성 및 워크플로

Analyzes meeting transcripts to provide actionable feedback on communication patterns, leadership style, and behavioral habits.

소개

The Meeting Insights Analyzer transforms raw meeting transcripts into a comprehensive professional development tool within Claude Code. By scanning transcript files, it identifies recurring patterns such as conflict avoidance, speaking-to-listening ratios, and the frequent use of filler words. It provides specific, timestamped examples of communication effectiveness and offers comparative trends over time, making it an essential resource for managers, coaches, and professionals seeking to refine their facilitation skills and interpersonal impact.

주요 기능

Actionable, timestamped feedback with concrete improvement suggestions
0 GitHub stars
Detailed speaking-to-listening ratios and turn-taking analytics
Facilitation style evaluation for leadership and team inclusion
Historical trend tracking to measure communication growth over time
Automated pattern recognition for conflict avoidance and hedging language

사용 사례

Tracking leadership growth by comparing meeting facilitation styles across quarters
Self-coaching to identify and reduce filler words and indirect communication
Gathering objective data and examples for performance reviews and career development

소개

주요 기능

Actionable, timestamped feedback with concrete improvement suggestions
0 GitHub stars
Detailed speaking-to-listening ratios and turn-taking analytics
Facilitation style evaluation for leadership and team inclusion
Historical trend tracking to measure communication growth over time
Automated pattern recognition for conflict avoidance and hedging language

사용 사례

Tracking leadership growth by comparing meeting facilitation styles across quarters
Self-coaching to identify and reduce filler words and indirect communication
Gathering objective data and examples for performance reviews and career development