meeting-insights-analyzer

Analyze meeting transcripts to detect behavioral patterns and provide timestamped feedback.

Updated Oct 29, 2025
One-click install
npx skills add https://github.com/laurenj3250-debug/vethub2.0 --skill meeting-insights-analyzer-laurenj3250-debug
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meeting-insights-analyzer
Source: https://github.com/laurenj3250-debug/vethub2.0/tree/main/.claude/skills/meeting-insights-analyzer
Command: npx skills add https://github.com/laurenj3250-debug/vethub2.0 --skill meeting-insights-analyzer-laurenj3250-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? This Skill transforms raw meeting transcripts into actionable insights about communication patterns, helping professionals improve their leadership, facilitation, and interpersonal skills. It automates the tedious review of conversations to identify subtle behaviors like conflict avoidance, excessive filler word usage, or missed listening opportunities, providing concrete, actionable feedback.

Core Features & Use Cases:

  • Behavioral Pattern Recognition: Identifies and quantifies patterns such as conflict avoidance, speaking ratios, filler words, and active listening indicators.
  • Actionable Feedback with Examples: Provides specific, timestamped examples from your transcripts, explaining the impact and suggesting better approaches.
  • Trend Tracking: Compares communication patterns across multiple meetings over time, allowing you to track personal growth and development.

Use Case: Analyze your last month's team meeting transcripts to understand if you're dominating conversations or effectively drawing out quieter team members, then get concrete advice on how to improve your facilitation style and foster more inclusive discussions.

Quick Start: Analyze all meeting transcripts in this folder and tell me when I avoided conflict.

Frequently Asked Questions about meeting-insights-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze meeting transcripts to identify communication patterns?

Analyzing meeting transcripts uncovers behavioral patterns like conflict avoidance, interruptions, and filler word usage by processing conversation text to extract timestamped examples and quantified metrics. Upload transcripts to receive concrete, actionable feedback on your communication style with specific moments from your meetings.

Can I track communication improvements across multiple meetings over time?

Trend tracking compares your communication patterns across multiple meeting sessions, allowing you to measure progress on specific behaviors like speaking ratio, listening indicators, and clarity. This helps you monitor personal development and validate whether facilitation improvements are working.

What specific behavioral patterns does meeting analysis detect?

Meeting analysis identifies conflict avoidance, speaking ratios, excessive filler words, active listening indicators, and directness in tone. Each pattern is backed by timestamped examples from your transcript, showing exactly when the behavior occurred and its impact on the conversation.

How can meeting insights improve team facilitation and leadership?

Meeting insights reveal whether you dominate conversations or effectively draw out quieter team members, providing concrete advice on fostering inclusive discussions. Leadership coaching and performance reviews benefit from specific, example-backed feedback on facilitation patterns and suggested alternatives.

Do I need transcripts or can I use meeting recordings directly?

The Skill works with meeting transcripts as input. If you have recordings, convert them to text transcripts first, then upload for analysis. Transcripts enable accurate pattern recognition, timestamping, and example extraction across individual and team meetings.

What's the best way to identify listening gaps in team meetings?

Active listening analysis within meeting transcripts quantifies listening indicators and identifies missed opportunities to engage quieter participants. The Skill highlights specific moments where active listening could have improved conversation flow and suggests better approaches for future meetings.