How does it track communication improvements?

The skill can compare transcript data from different time periods (e.g., Q1 vs. Q2) to measure changes in speaking ratios, filler word frequency, and active listening.

What kind of actionable feedback does it provide?

It offers specific examples of 'hedging' or 'conflict avoidance,' explains why those moments matter, and suggests alternative phrasing for more direct communication.

Does it identify specific speakers?

Yes, the skill scans for speaker labels and timestamps within transcripts to differentiate between your contributions and those of other participants.

What transcript formats are supported?

The skill can scan and process various transcript formats including .txt, .md, .vtt, .srt, .docx, and Google Doc exports.

Can I use this with Zoom or Microsoft Teams?

Yes, as long as you export the meeting transcripts or recordings as text-based files into a local folder, Claude Code can analyze them.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: kivilaid

bykivilaid

•

生产力与工作流

Analyzes meeting transcripts to identify communication patterns, behavioral habits, and actionable leadership insights.

关于

The Meeting Insights Analyzer is a specialized skill for Claude Code designed to transform raw meeting transcripts into professional development tools. By processing files from platforms like Zoom, Google Meet, or Granola, it identifies critical communication behaviors such as conflict avoidance, speaking-to-listening ratios, and the use of hedging language. It provides structured, timestamped feedback and comparative analysis across multiple sessions, allowing professionals to track their growth, refine their facilitation style, and prepare for performance reviews with objective data.

主要功能

Automated behavioral pattern recognition (conflict avoidance, interruptions)
Quantitative speaking statistics and participant ratios
Timestamped feedback with specific improvement recommendations
Analysis of filler words, hedging, and active listening indicators
6 GitHub stars
Comparative trend tracking across multiple meetings or time periods

使用场景

Developing leadership and meeting facilitation skills through self-coaching
Auditing team meetings to ensure inclusive participation and clear action items
Generating objective communication evidence for performance reviews and career growth

关于

主要功能

Automated behavioral pattern recognition (conflict avoidance, interruptions)
Quantitative speaking statistics and participant ratios
Timestamped feedback with specific improvement recommendations
Analysis of filler words, hedging, and active listening indicators
6 GitHub stars
Comparative trend tracking across multiple meetings or time periods

使用场景

Developing leadership and meeting facilitation skills through self-coaching
Auditing team meetings to ensure inclusive participation and clear action items
Generating objective communication evidence for performance reviews and career growth