meeting-insights-analyzer
Helps your agent understand meeting conversations. It identifies speaking patterns and gives tips to improve communication.
What it does
This tool analyzes your recorded conversations to show how you communicate. It identifies patterns like avoiding conflict, using too many filler words (like, you know), talking too much, or not listening to others. The goal is to help you become a better communicator and leader.
When to use it
- ✓To understand your communication habits in meetings.
- ✓To get feedback on how you lead or facilitate.
- ✓To identify if you avoid difficult conversations.
Example of what to ask your AI
“Analyze my meetings and tell me when I avoided conflict or used too many filler words.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You provide the audio or text files from your meetings. The tool reads these files, looks for specific speech and behavior patterns, and gives you a summary with examples of what to do to improve.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add ComposioHQ/awesome-claude-skills --skill meeting-insights-analyzerOr download just the file:
curl -L https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/meeting-insights-analyzer/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
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
Communication Analysis: Evaluates communication effectiveness:
- Clarity and directness
- Use of filler words and hedging language
- Tone and sentiment patterns
- Meeting control and facilitation
Actionable Feedback: Provides specific, timestamped examples with:
- What happened
- Why it matters
- How to improve
Trend Tracking: Compares patterns over time when analyzing multiple meetings
How to Use
Basic Setup
- Download your meeting transcripts to a folder (e.g.,
~/meetings/) - Navigate to that folder in Claude Code
- 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 listening
Instructions
When a user requests meeting analysis:
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
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
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
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]
…
FAQ
What types of meeting files does the tool accept?
It accepts text files (.txt, .md), subtitles (.vtt, .srt), and documents (.docx).
Does the tool need audio or just text?
The tool works with meeting transcripts (texts). If you have recordings, you'll need to convert them to text first.
How does the tool know who I am in the conversation?
It looks for speaker labels in the text files. If the files don't have this information, you might need to indicate who you are.
Details
Original description by the author
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
Popularity
- GitHub stars
- 77k
- Ranking position
- #1703
- License
- —
- Updated
- 9/18/2026
Comments
- …
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