How does it identify conflict avoidance?

It scans for hedging language like 'maybe' or 'sort of', indirect phrasing, and instances where the speaker changes the subject when tension arises.

Does this work with Zoom or Google Meet?

Yes, simply export your transcripts from Zoom, Google Meet, or tools like Granola and Fireflies, then point Claude Code to that folder.

Can I compare my performance over time?

Yes, the skill can analyze folders containing multiple meetings to identify trends, such as reductions in filler words or improvements in listening ratios.

Is my meeting data private?

The analysis is performed within your Claude Code environment, allowing you to maintain control over your local transcript files.

What transcript file formats are supported?

The skill can process common transcript formats including .txt, .md, .vtt, .srt, and .docx files.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: danhhungthaii

bydanhhungthaii

Productivity & Workflow

Analyzes meeting transcripts to identify communication patterns, behavioral habits, and leadership growth opportunities.

About

The Meeting Insights Analyzer is a specialized Claude Code skill designed to transform raw meeting transcripts into actionable professional development data. By scanning conversations for specific markers like conflict avoidance, speaking-to-listening ratios, and the use of filler words, it provides professionals with concrete, timestamped feedback on their communication style. Whether you are a manager looking to improve facilitation or an individual contributor aiming for more directness, this skill helps track behavioral trends over time and offers specific alternatives for more effective interactions.

Key Features

Behavioral pattern recognition for conflict avoidance and indirect communication
Automated tracking of filler words and hedging language across multiple meetings
Evaluation of active listening and collaborative leadership indicators
Trend reporting to compare communication growth over different time periods
0 GitHub stars
Statistical analysis of speaking ratios, interruptions, and turn-taking

Use Cases

Coaching team members by identifying specific areas for verbal improvement
Preparing for performance reviews with objective communication data
Improving leadership and meeting facilitation skills for managers

About

Key Features

Behavioral pattern recognition for conflict avoidance and indirect communication
Automated tracking of filler words and hedging language across multiple meetings
Evaluation of active listening and collaborative leadership indicators
Trend reporting to compare communication growth over different time periods
0 GitHub stars
Statistical analysis of speaking ratios, interruptions, and turn-taking

Use Cases

Coaching team members by identifying specific areas for verbal improvement
Preparing for performance reviews with objective communication data
Improving leadership and meeting facilitation skills for managers