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Meeting Insights Analyzer

CommunityPopular
Prat011
meeting-insights-analyzer

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.

Overview

PublisherPrat011
Repositoryawesome-llm-skills
Skill namemeeting-insights-analyzer
Stars
1.7K
Forks
303
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Prat011 on GitHub. Read the source before you install it.

Installation

Install the Meeting Insights Analyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Prat011/awesome-llm-skills.git /tmp/awesome-llm-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-llm-skills/meeting-insights-analyzer .claude/skills/meeting-insights-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Meeting Insights Analyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Meeting Insights Analyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Meeting Insights Analyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 listening

Instructions

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:

    markdown
    ### [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:

    markdown
    # 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:

markdown
# 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 casually

Example 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

Frequently asked questions

What does the Meeting Insights Analyzer AI skill do?

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.

Why use Meeting Insights Analyzer on TypingMind?

Because you install it once and use it with any model. Meeting Insights Analyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Meeting Insights Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prat011/awesome-llm-skills/tree/master/meeting-insights-analyzer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Meeting Insights Analyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Meeting Insights Analyzer?

As many as you like. As long as a model supports skills, you can use Meeting Insights Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Meeting Insights Analyzer AI skill free?

It is published on GitHub by Prat011. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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