How does it identify conflict avoidance?

It scans for 'hedging' language (e.g., 'maybe', 'sort of'), indirect phrasing, and instances where a direct question was met with a subject change or non-committal response.

What transcript formats does the Meeting Insights Analyzer support?

The skill can scan and analyze various common transcript formats including .txt, .md, .vtt, .srt, and .docx files located within your project directory.

Does this work with Zoom or Google Meet?

Yes, as long as you export your transcripts from those platforms and save them to a local folder that Claude Code can access, the analyzer can process them.

Can I use this to track my progress over several months?

Yes, you can ask Claude to compare transcripts from different date ranges (e.g., Q1 vs Q2) to identify improvements in metrics like speaking ratios or filler word reduction.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: Microck

byMicrock

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协作工具

Analyzes meeting transcripts to uncover communication patterns, conflict avoidance habits, and actionable leadership feedback.

关于

Meeting Insights Analyzer is a specialized tool for Claude Code that transforms raw meeting transcripts into a roadmap for professional development. By scanning for specific behavioral markers—such as hedging language, speaking-to-listening ratios, and filler word frequency—it provides timestamped feedback on how you communicate and lead. Whether you're preparing for a performance review, coaching a team member, or aiming to reduce conflict avoidance, this skill offers data-driven insights to refine your interpersonal effectiveness and facilitation style across multiple sessions.

主要功能

89 GitHub stars
Quantitative analysis of speaking ratios and turn-taking dynamics
Comparative trend tracking to measure communication growth over time
Automated detection of filler words and hedging language
Timestamped examples with specific alternative phrasing recommendations
Behavioral pattern recognition for conflict avoidance and indirect communication

使用场景

Identifying and overcoming habits of conflict avoidance in high-stakes team discussions
Auditing meeting facilitation style to ensure inclusive and balanced participation
Generating objective communication metrics for personal development and performance reviews

关于

主要功能

89 GitHub stars
Quantitative analysis of speaking ratios and turn-taking dynamics
Comparative trend tracking to measure communication growth over time
Automated detection of filler words and hedging language
Timestamped examples with specific alternative phrasing recommendations
Behavioral pattern recognition for conflict avoidance and indirect communication

使用场景

Identifying and overcoming habits of conflict avoidance in high-stakes team discussions
Auditing meeting facilitation style to ensure inclusive and balanced participation
Generating objective communication metrics for personal development and performance reviews