How does it identify conflict avoidance?

The skill scans for 'hedging' language (e.g., 'maybe', 'sort of'), indirect requests, and instances where the user changes the subject when tension arises.

Does my meeting data remain private?

Yes, the analysis is performed within your Claude Code environment on the files you provide, keeping sensitive meeting data local and secure.

What file types does the Meeting Insights Analyzer support?

The skill supports common transcript and caption formats including .txt, .md, .vtt, .srt, and .docx files.

Can I analyze meetings from Zoom, Google Meet, or Teams?

Yes, as long as you export the transcripts from those platforms into a local folder, Claude Code can analyze them for patterns.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: kivilaid

bykivilaid

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생산성 및 워크플로

Analyzes meeting transcripts to identify communication patterns, behavioral trends, and actionable leadership improvements.

소개

Meeting Insights Analyzer is a specialized Claude Code skill designed to transform raw meeting transcripts into a professional development engine. By scanning your local meeting logs, it detects subtle behaviors such as conflict avoidance, excessive filler words, and imbalanced speaking ratios. It provides specific, timestamped examples of your interactions alongside concrete suggestions for improvement, making it an essential tool for managers, executives, and anyone looking to refine their communication and facilitation skills directly within their terminal.

주요 기능

Behavioral pattern recognition for conflict avoidance and hedging language
6 GitHub stars
Quantitative analysis of speaking ratios and interruption counts
Multi-file trend analysis to track communication growth across months
Automated tracking of filler words and verbal tics over time
Detailed timestamped examples with 'Better Approach' recommendations

사용 사례

Identifying and reducing indirect communication in 1:1 and team sessions
Auditing meeting facilitation styles to improve team inclusivity and turn-taking
Preparing concrete communication examples for quarterly performance reviews

소개

주요 기능

Behavioral pattern recognition for conflict avoidance and hedging language
6 GitHub stars
Quantitative analysis of speaking ratios and interruption counts
Multi-file trend analysis to track communication growth across months
Automated tracking of filler words and verbal tics over time
Detailed timestamped examples with 'Better Approach' recommendations

사용 사례

Identifying and reducing indirect communication in 1:1 and team sessions
Auditing meeting facilitation styles to improve team inclusivity and turn-taking
Preparing concrete communication examples for quarterly performance reviews