How does it identify conflict avoidance?

The skill scans for hedging language like 'maybe' or 'sort of', indirect phrasing, subject changes during tension, and non-committal agreements.

Do I need a specific meeting recorder to use this?

No, you can use transcripts exported from any platform like Zoom, Google Meet, Otter.ai, or Granola, provided they are saved in a folder Claude Code can access.

Can this skill track my progress over time?

Yes, the skill can compare meetings from different time periods (e.g., Q1 vs. Q2) to identify trends in your communication habits and listening skills.

What file formats does the Meeting Insights Analyzer support?

It supports various transcript formats including .txt, .md, .vtt, .srt, and .docx files containing speaker labels and timestamps.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: EricGrill

byEricGrill

•

Collaboration Tools

Analyzes meeting transcripts to identify communication patterns, leadership styles, and actionable behavioral feedback.

About

The Meeting Insights Analyzer is a specialized Claude Code skill designed to transform raw meeting transcripts into a roadmap for professional growth. By scanning folders of transcript files, it identifies subtle communication habits such as conflict avoidance, filler word frequency, and speaking-to-listening ratios. Whether you are a manager looking to improve team facilitation or an individual contributor seeking more direct communication, this skill provides timestamped examples and specific recommendations to help you master your executive presence and interpersonal effectiveness.

Key Features

Detailed speaking statistics including talk ratios, interruptions, and filler word counts
Timestamped transcript examples for contextual feedback and coaching
2 GitHub stars
Long-term trend tracking to measure communication growth across multiple meetings
Behavioral pattern recognition for conflict avoidance and indirect communication
Leadership and facilitation evaluation with concrete improvement suggestions

Use Cases

Analyzing team dynamics and identifying missing perspectives in collaborative sessions
Self-coaching for leaders wanting to improve meeting facilitation and active listening
Preparing data-driven communication examples for performance reviews and career growth

About

Key Features

Detailed speaking statistics including talk ratios, interruptions, and filler word counts
Timestamped transcript examples for contextual feedback and coaching
2 GitHub stars
Long-term trend tracking to measure communication growth across multiple meetings
Behavioral pattern recognition for conflict avoidance and indirect communication
Leadership and facilitation evaluation with concrete improvement suggestions

Use Cases

Analyzing team dynamics and identifying missing perspectives in collaborative sessions
Self-coaching for leaders wanting to improve meeting facilitation and active listening
Preparing data-driven communication examples for performance reviews and career growth