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discussion-intelligence

Extract insights, decisions, and communication patterns from meeting transcripts.

39|1|Updated Dec 21, 2025
Search Tags:#decision tracking#action items#facilitation#meeting analysis#communication skills#speaking patterns
One-click install
npx skills add https://github.com/qodex-ai/ai-agent-skills --skill discussion-intelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: discussion-intelligence
Source: https://github.com/qodex-ai/ai-agent-skills/tree/main/skills/discussion-intelligence
Command: npx skills add https://github.com/qodex-ai/ai-agent-skills --skill discussion-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms raw meeting transcripts into actionable insights, helping users understand communication patterns, identify key decisions, and improve their facilitation and speaking habits.

Core Features & Use Cases

  • Pattern Recognition: Identifies recurring behaviors like conflict avoidance, speaking ratios, and active listening.
  • Communication Analysis: Evaluates clarity, directness, filler words, and meeting control.
  • Actionable Feedback: Provides specific, timestamped examples with suggestions for improvement.
  • Trend Tracking: Compares communication patterns across multiple meetings over time.
  • Use Case: Analyze a series of sales calls to identify common objections and how effectively they were handled, or review team meetings to ensure all voices are heard and decisions are clearly documented.

Quick Start

Analyze all meetings in this folder and tell me when I avoided conflict.

Frequently Asked Questions about discussion-intelligence

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

FAQPage Schema
How do I extract action items and key decisions from meeting transcripts?▼

Meeting transcript analysis uses natural language processing on text and timestamped data to extract actionable insights, track key decisions, and identify communication patterns automatically.

What is the best way to analyze speaking patterns and filler words in recorded meetings?▼

Analyzing speaking patterns involves evaluating speaking ratios, clarity, directness, and filler words from timestamped transcripts to provide specific, actionable feedback for communication improvement.

Can I track communication trends across multiple meetings over time?▼

Yes, trend tracking compares communication patterns across multiple meetings over time, allowing you to monitor recurring behaviors like conflict avoidance and active listening habitually.

How do I identify conflict avoidance and facilitation effectiveness in team meetings?▼

Pattern recognition identifies recurring behaviors like conflict avoidance and evaluates meeting control, providing timestamped examples to measure facilitation effectiveness and suggest improvements.

Does meeting analysis require timestamped transcript data to evaluate communication skills?▼

Meeting analysis supports both text and timestamped data, but timestamped transcripts are required to accurately evaluate speaking ratios, active listening, and meeting control dynamics.

When should I not use automated transcript analysis for communication improvement?▼

Automated transcript analysis is less effective for meetings lacking clear textual records or timestamped data, as natural language processing requires structured text to identify actionable feedback.

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