
Meeting Insights Analyzer
- 1 installs
- 404 repo stars
- Updated August 5, 2026
- aiskillstore/marketplace
This is a copy of meeting-insights-analyzer by composiohq - installs and ranking accrue to the original listing.
meeting-insights-analyzer is a Claude Code skill that analyzes meeting transcripts to reveal communication patterns and give coaching feedback.
About
meeting-insights-analyzer is a Claude Code skill that reviews meeting transcripts to surface communication and leadership patterns. A user points it at a folder of transcripts and it identifies behaviors like conflict avoidance, filler words, and speaking ratios, then returns timestamped examples and coaching feedback. It can compare patterns across multiple meetings to track improvement over time.
- Analyzes meeting transcripts (.txt, .md, .vtt, .srt, .docx) for communication patterns
- Detects conflict avoidance, filler words, speaking ratios, and active listening
- Returns timestamped examples with what happened, why it matters, and how to improve
Meeting Insights Analyzer by the numbers
- 1 all-time installs (skills.sh)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
meeting-insights-analyzer capabilities & compatibility
- Capabilities
- transcript analysis · communication analysis · meeting summary
- Use cases
- transcription · data analysis
- Pricing
- Free
What meeting-insights-analyzer says it does
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback.
Scan the folder for transcript files (.txt, .md, .vtt, .srt, .docx)
npx skills add https://github.com/aiskillstore/marketplace --skill meeting-insights-analyzerAdd your badge
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| Installs | 1 |
|---|---|
| repo stars | ★ 404 |
| Last updated | August 5, 2026 |
| Repository | aiskillstore/marketplace ↗ |
What it does
Analyze meeting transcripts to get feedback on your communication and facilitation patterns.
Who is it for?
Professionals wanting evidence-based feedback on their communication and facilitation across meetings.
Skip if: Producing formal meeting minutes or action-item lists (that is a different meeting skill).
When should I use this skill?
You want to analyze how you communicate across a set of meeting transcripts.
What you get
A timestamped, example-backed summary of your communication strengths and growth areas.
- Meeting insights summary
- Timestamped behavior examples
- Speaking statistics
By the numbers
- Reads 5 transcript formats (.txt, .md, .vtt, .srt, .docx)
Files
Meeting Insights Analyzer
This skill transforms your meeting transcripts into actionable insights about your communication patterns, helping you become a more effective communicator and leader.
When to Use This Skill
- Analyzing your communication patterns across multiple meetings
- Getting feedback on your leadership and facilitation style
- Identifying when you avoid difficult conversations
- Understanding your speaking habits and filler words
- Tracking improvement in communication skills over time
- Preparing for performance reviews with concrete examples
- Coaching team members on their communication style
What This Skill Does
1. Pattern Recognition: Identifies recurring behaviors across meetings like:
- Conflict avoidance or indirect communication
- Speaking ratios and turn-taking
- Question-asking vs. statement-making patterns
- Active listening indicators
- Decision-making approaches
2. Communication Analysis: Evaluates communication effectiveness:
- Clarity and directness
- Use of filler words and hedging language
- Tone and sentiment patterns
- Meeting control and facilitation
3. Actionable Feedback: Provides specific, timestamped examples with:
- What happened
- Why it matters
- How to improve
4. Trend Tracking: Compares patterns over time when analyzing multiple meetings
How to Use
Basic Setup
1. Download your meeting transcripts to a folder (e.g., ~/meetings/) 2. Navigate to that folder in Claude Code 3. Ask for the analysis you want
Quick Start Examples
Analyze all meetings in this folder and tell me when I avoided conflict.Look at my meetings from the past month and identify my communication patterns.Compare my facilitation style between these two meeting folders.Advanced Analysis
Analyze all transcripts in this folder and:
1. Identify when I interrupted others
2. Calculate my speaking ratio
3. Find moments I avoided giving direct feedback
4. Track my use of filler words
5. Show examples of good active listeningInstructions
When a user requests meeting analysis:
1. Discover Available Data
- Scan the folder for transcript files (.txt, .md, .vtt, .srt, .docx)
- Check if files contain speaker labels and timestamps
- Confirm the date range of meetings
- Identify the user's name/identifier in transcripts
2. Clarify Analysis Goals
If not specified, ask what they want to learn:
- Specific behaviors (conflict avoidance, interruptions, filler words)
- Communication effectiveness (clarity, directness, listening)
- Meeting facilitation skills
- Speaking patterns and ratios
- Growth areas for improvement
3. Analyze Patterns
For each requested insight:
Conflict Avoidance:
- Look for hedging language ("maybe", "kind of", "I think")
- Indirect phrasing instead of direct requests
- Changing subject when tension arises
- Agreeing without commitment ("yeah, but...")
- Not addressing obvious problems
Speaking Ratios:
- Calculate percentage of meeting spent speaking
- Count interruptions (by and of the user)
- Measure average speaking turn length
- Track question vs. statement ratios
Filler Words:
- Count "um", "uh", "like", "you know", "actually", etc.
- Note frequency per minute or per speaking turn
- Identify situations where they increase (nervous, uncertain)
Active Listening:
- Questions that reference others' previous points
- Paraphrasing or summarizing others' ideas
- Building on others' contributions
- Asking clarifying questions
Leadership & Facilitation:
- Decision-making approach (directive vs. collaborative)
- How disagreements are handled
- Inclusion of quieter participants
- Time management and agenda control
- Follow-up and action item clarity
4. Provide Specific Examples
For each pattern found, include:
### [Pattern Name]
**Finding**: [One-sentence summary of the pattern]
**Frequency**: [X times across Y meetings]
**Examples**:
1. **[Meeting Name/Date]** - [Timestamp]
**What Happened**:
> [Actual quote from transcript]
**Why This Matters**:
[Explanation of the impact or missed opportunity]
**Better Approach**:
[Specific alternative phrasing or behavior]
[Repeat for 2-3 strongest examples]5. Synthesize Insights
After analyzing all patterns, provide:
# Meeting Insights Summary
**Analysis Period**: [Date range]
**Meetings Analyzed**: [X meetings]
**Total Duration**: [X hours]
## Key Patterns Identified
### 1. [Primary Pattern]
- **Observed**: [What you saw]
- **Impact**: [Why it matters]
- **Recommendation**: [How to improve]
### 2. [Second Pattern]
[Same structure]
## Communication Strengths
1. [Strength 1 with example]
2. [Strength 2 with example]
3. [Strength 3 with example]
## Growth Opportunities
1. **[Area 1]**: [Specific, actionable advice]
2. **[Area 2]**: [Specific, actionable advice]
3. **[Area 3]**: [Specific, actionable advice]
## Speaking Statistics
- Average speaking time: [X% of meeting]
- Questions asked: [X per meeting average]
- Filler words: [X per minute]
- Interruptions: [X given / Y received per meeting]
## Next Steps
[3-5 concrete actions to improve communication]6. Offer Follow-Up Options
- Track these same metrics in future meetings
- Deep dive into specific meetings or patterns
- Compare to industry benchmarks
- Create a personal communication development plan
- Generate a summary for performance reviews
Examples
Example 1: Conflict Avoidance Analysis (Inspired by Dan Shipper)
User: "I download all of my meeting recordings and put them in a folder. Tell me all the times I've subtly avoided conflict."
Output:
# Conflict Avoidance Patterns
Found 23 instances across 15 meetings where you used indirect
communication or avoided addressing tensions directly.
## Pattern: Hedging on Critical Feedback
**Frequency**: 8 times across 7 meetings
**Example 1: 1:1 with Sarah** - 00:14:32
**What Happened**:
> "So, I was thinking... maybe we could, like, potentially
> consider looking at the timeline again? I mean, if you
> think that makes sense. But whatever you think is best!"
**Why This Matters**:
You needed to address that Sarah's project was behind schedule,
but the hedging language ("maybe", "potentially", "if you think")
and the deflection at the end ("whatever you think") made it easy
for her to miss the urgency.
**Better Approach**:
"Sarah, the project is two weeks behind schedule. We need to
discuss what's blocking progress and create a new timeline
today."
[Additional examples...]
## Recommendations
1. **Name the issue directly** in the first sentence
2. **Remove hedging words** like "maybe," "kind of," "sort of"
3. **Ask specific questions** instead of hinting
4. **Schedule difficult conversations** instead of raising them casuallyExample 2: Leadership Facilitation
User: "Analyze my team meetings and tell me about my facilitation style."
Output: Provides insights on:
- How much you speak vs. team members (60% vs. 40%)
- Whether you ask questions or make statements (3:1 ratio)
- How you handle disagreements (tendency to resolve too quickly)
- Who speaks least and whether you draw them in
- Examples of good and missed facilitation moments
Example 3: Personal Development Tracking
User: "Compare my meetings from Q1 vs. Q2 to see if I've improved my listening skills."
Output: Creates a comparative analysis showing:
- Decrease in interruptions (8 per meeting → 3 per meeting)
- Increase in clarifying questions (2 → 7 per meeting)
- Improvement in building on others' ideas
- Specific examples showing the difference
- Remaining areas for growth
Setup Tips
Getting Meeting Transcripts
From Granola (free with Lenny's newsletter subscription):
- Granola auto-transcribes your meetings
- Export transcripts to a folder: [Instructions on how]
- Point Claude Code to that folder
From Zoom:
- Enable cloud recording with transcription
- Download VTT or SRT files after meetings
- Store in a dedicated folder
From Google Meet:
- Use Google Docs auto-transcription
- Save transcript docs to a folder
- Download as .txt files or give Claude Code access
From Fireflies.ai, Otter.ai, etc.:
- Export transcripts in bulk
- Store in a local folder
- Run analysis on the folder
Best Practices
1. Consistent naming: Use YYYY-MM-DD - Meeting Name.txt format 2. Regular analysis: Review monthly or quarterly for trends 3. Specific queries: Ask about one behavior at a time for depth 4. Privacy: Keep sensitive meeting data local 5. Action-oriented: Focus on one improvement area at a time
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?"
- "How clear are my action items?"
- "Do I stay on agenda or get sidetracked?"
- "How has my communication changed over time?"
Related Use Cases
- Creating a personal development plan from insights
- Preparing performance review materials with examples
- Coaching direct reports on their communication
- Analyzing customer calls for sales or support patterns
- Studying negotiation tactics and outcomes
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"Detects filler words and hedging language usage",
"Evaluates active listening and question-asking behavior",
"Tracks communication trends across multiple meetings",
"Provides timestamped improvement recommendations"
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"limitations": [
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"target_user": "Team Leaders",
"title": "Improve Meeting Facilitation",
"description": "Identify how inclusive your meetings are and discover ways to draw out quieter team members."
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"title": "Prepare for Performance Reviews",
"description": "Gather concrete examples of your communication strengths with timestamped evidence."
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{
"target_user": "Managers",
"title": "Coach Direct Reports",
"description": "Help team members understand their communication patterns with specific feedback."
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"title": "Basic Conflict Check",
"scenario": "Find avoidance patterns",
"prompt": "Analyze all meetings in this folder and tell me when I avoided difficult conversations."
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{
"title": "Speaking Balance",
"scenario": "Measure participation",
"prompt": "Look at my meetings from the past month and calculate my speaking ratio compared to others."
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{
"title": "Listening Assessment",
"scenario": "Evaluate active listening",
"prompt": "Analyze these transcripts and identify moments of active listening versus missed opportunities."
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"title": "Quarterly Comparison",
"scenario": "Track improvement over time",
"prompt": "Compare my communication patterns between meetings from Q1 and Q2. Show trends."
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{
"input": "Analyze all my meetings and tell me when I avoided conflict.",
"output": [
"Found 23 instances across 15 meetings of indirect communication or tension avoidance.",
"Pattern: Hedging on critical feedback (8 times across 7 meetings).",
"Example from 1:1 with Sarah at 00:14:32: 'So I was thinking... maybe we could potentially consider looking at the timeline again?'",
"Recommendation: Name issues directly and remove hedging words like 'maybe' and 'potentially'."
]
},
{
"input": "Tell me about my facilitation style in team meetings.",
"output": [
"You speak 60% of the time while team members speak 40%.",
"Your question-to-statement ratio is 1:3, indicating directive leadership.",
"You resolve disagreements quickly (avg 2 min) which may suppress team input.",
"You draw in quieter members 3 times per meeting on average."
]
}
],
"best_practices": [
"Use consistent file naming like 'YYYY-MM-DD - Meeting Name.txt' for easy organization.",
"Ask about one behavior at a time for deeper, more actionable insights.",
"Review patterns monthly or quarterly to track meaningful improvement over time."
],
"anti_patterns": [
"Analyzing meetings without speaker labels, which reduces pattern accuracy.",
"Asking for everything at once instead of focusing on specific improvement areas.",
"Ignoring improvement suggestions and not tracking progress on changed behaviors."
],
"faq": [
{
"question": "What file formats does this skill support?",
"answer": "Works with .txt, .md, .vtt, .srt, and .docx transcript files that have speaker labels."
},
{
"question": "How many meetings can I analyze at once?",
"answer": "No hard limit. Can process dozens of meetings though very large datasets take longer."
},
{
"question": "Can I integrate this with transcription services?",
"answer": "Export transcripts from Granola, Zoom, Google Meet, Otter.ai, or Fireflies.ai to a local folder."
},
{
"question": "Is my meeting data kept private?",
"answer": "Yes. All analysis happens locally on your machine. No data is sent to external servers."
},
{
"question": "Why is my analysis missing patterns?",
"answer": "Ensure transcripts have clear speaker labels and timestamps. Low-quality transcripts reduce accuracy."
},
{
"question": "How is this different from other meeting tools?",
"answer": "Provides deep behavioral analysis focused on personal communication patterns and growth."
}
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Related skills
FAQ
What transcript formats does it read?
It scans folders for .txt, .md, .vtt, .srt, and .docx transcript files and checks for speaker labels and timestamps.
What patterns does it detect?
Conflict avoidance, speaking ratios and interruptions, filler-word frequency, active-listening indicators, and leadership/facilitation behavior.