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Meeting Analysis

  • 58 installs
  • 7 repo stars
  • Updated January 15, 2026
  • eyadsibai/ltk

Helps with ai & agent building tasks.

About

meeting-analysis is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • meeting-analysis
  • AI & Agent Building
  • AI-coding skill

Meeting Analysis by the numbers

  • 58 all-time installs (skills.sh)
  • Ranked #6,589 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Jul 30, 2026 (Skillselion catalog sync)
npx skills add https://github.com/eyadsibai/ltk --skill meeting-analysis

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Listed on Skillselion
Installs58
repo stars7
Last updatedJanuary 15, 2026
Repositoryeyadsibai/ltk

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

<!-- 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

# 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

SourceHow to Get
ZoomEnable cloud recording with transcription
Google MeetUse auto-transcription, save docs
Fireflies.aiExport transcripts in bulk
Otter.aiExport 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?"

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