home / skills / eyadsibai / ltk / meeting-analysis

This skill analyzes meeting transcripts to reveal communication patterns and provide actionable feedback for improvement.

npx playbooks add skill eyadsibai/ltk --skill meeting-analysis

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: meeting-analysis
description: Use when "analyzing meetings", "meeting transcripts", "communication patterns", "speaking habits", or asking about "filler words", "conflict avoidance", "facilitation style"
version: 1.0.0
---

<!-- Adapted from: awesome-claude-skills/meeting-insights-analyzer -->

# Meeting Insights Analyzer

Analyze meeting transcripts to uncover communication patterns and actionable feedback.

## When to Use

- Analyzing communication patterns across meetings
- Getting feedback on leadership/facilitation style
- Identifying conflict avoidance behaviors
- Understanding speaking habits and filler words
- Tracking improvement over time
- Coaching team members on communication

## Pattern Recognition

### Conflict Avoidance

- Hedging language ("maybe", "kind of", "I think")
- Indirect phrasing instead of direct requests
- Changing subject when tension arises
- Agreeing without commitment ("yeah, but...")

### Speaking Ratios

- Percentage of meeting spent speaking
- Interruptions given and received
- Average speaking turn length
- Question vs. statement ratio

### Filler Words

- Count "um", "uh", "like", "you know", "actually"
- Frequency per minute or speaking turn
- Situations where they increase

### Active Listening

- Questions referencing others' points
- Paraphrasing or summarizing
- Building on contributions
- Clarifying questions

### Leadership & Facilitation

- Decision-making approach (directive vs. collaborative)
- How disagreements are handled
- Inclusion of quieter participants
- Time management and agenda control

## Analysis Output Format

```markdown
# Meeting Insights Summary

**Analysis Period**: [Date range]
**Meetings Analyzed**: [X meetings]

## Key Patterns Identified

### 1. [Pattern Name]
- **Observed**: [What was seen]
- **Impact**: [Why it matters]
- **Recommendation**: [How to improve]

### [Pattern Example]

**[Meeting Name]** - [Timestamp]

**What Happened**:
> [Actual quote from transcript]

**Why This Matters**:
[Explanation of impact]

**Better Approach**:
[Specific alternative]

## Speaking Statistics
- Average speaking time: X% of meeting
- Questions asked: X per meeting
- Filler words: X per minute
- Interruptions: X given / Y received

## Next Steps
1. [Concrete action]
2. [Concrete action]
```

## Getting Transcripts

| Source | How to Get |
|--------|-----------|
| Zoom | Enable cloud recording with transcription |
| Google Meet | Use auto-transcription, save docs |
| Fireflies.ai | Export transcripts in bulk |
| Otter.ai | Export and store locally |

## Best Practices

- Use consistent naming: `YYYY-MM-DD - Meeting Name.txt`
- Review monthly or quarterly for trends
- Focus on one improvement area at a time
- Keep sensitive meeting data local

## Common Analysis Requests

- "When do I avoid difficult conversations?"
- "How often do I interrupt others?"
- "What's my speaking vs. listening ratio?"
- "Do I ask good questions?"
- "How do I handle disagreement?"
- "Am I inclusive of all voices?"
- "Do I use too many filler words?"

Overview

This skill analyzes meeting transcripts to surface communication patterns, speaking habits, and facilitation dynamics. It provides concise, actionable feedback on filler words, interruptions, inclusion, and conflict avoidance. The outputs focus on measurable speaking statistics and clear recommendations you can apply immediately.

How this skill works

The skill parses transcripts to identify patterns like hedging language, filler words, speaking ratios, interruptions, and active listening behaviors. It quantifies metrics (filler words per minute, speaking percent, question vs statement ratio) and links examples to impact and recommendations. Results are delivered as a structured summary with concrete next steps and sample quotes from the transcripts.

When to use it

  • Review team meetings to track communication trends over time
  • Coach a leader or facilitator on inclusion and decision style
  • Identify where conflict avoidance or hedging undermines clarity
  • Measure and reduce filler words and interruptions
  • Prepare targeted communication training based on real meetings

Best practices

  • Use consistent file naming and date ranges so trends are comparable
  • Analyze on a regular cadence (monthly or quarterly) to measure progress
  • Focus on one improvement area per review to keep recommendations actionable
  • Keep transcripts and sensitive data stored securely and local when required
  • Combine quantitative metrics with a few curated qualitative examples for context

Example use cases

  • Show percentage of speaking time per participant and flag dominant speakers
  • Highlight moments of hedging and suggest direct phrasing alternatives
  • Count filler words and report frequency by speaker and situation
  • Identify who interrupts whom and provide intervention suggestions for facilitators
  • Assess whether quieter participants are being given space and propose facilitation adjustments

FAQ

What transcript sources are supported?

Any text transcript works; common sources include cloud recordings with transcription, exported transcripts from meeting tools, or human-generated notes.

Can it track improvement over time?

Yes. By comparing consistent metrics across date ranges you can observe changes in filler words, speaking ratios, interruptions, and other patterns.