smithery/eyadsibai

meeting-analysis

Use when "analyzing meetings", "meeting transcripts", "communication patterns", "speaking habits", or asking about "filler words", "conflict avoidance", "facilitation style

Installation

$ npx skills add smithery/eyadsibai --skill meeting-analysis

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Skill metadata

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Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,044 B
  • docs SUMMARY.md 197 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

<!-- 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

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?"