Is my meeting data uploaded to a third-party server?

No, this skill operates within your local Claude Code environment, analyzing the files stored on your machine to maintain your privacy and data security.

What transcript formats does this skill support?

The skill can scan and process common text-based formats including .txt, .md, .vtt, .srt, and .docx files found within your local folders.

Can it analyze multiple meetings at once?

Yes, it is designed to process entire folders of transcripts to identify long-term trends, compare different facilitation styles, and track improvements over time.

Does this skill provide specific advice on how to improve?

Yes, for every pattern identified, it provides the 'What Happened', 'Why It Matters', and a 'Better Approach' with specific alternative phrasing.

How does it distinguish between different speakers?

It identifies speaker labels and timestamps within the transcripts to separate your contributions from others, allowing for accurate speaking-to-listening ratio calculations.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: Microck

byMicrock

•

Productivity & Workflow

Analyzes meeting transcripts to identify communication patterns, behavioral habits, and actionable leadership improvements.

About

The Meeting Insights Analyzer is a specialized tool for Claude Code that transforms raw meeting transcripts into deep behavioral analysis. By scanning local directories for various transcript formats, it identifies subtle patterns such as conflict avoidance, excessive use of filler words, and speaking-to-listening ratios. It provides timestamped feedback and concrete examples, making it an essential companion for professionals, managers, and coaches looking to refine their communication style and improve team facilitation through objective, data-driven insights.

Key Features

Behavioral pattern recognition for conflict avoidance and indirect communication
Actionable, timestamped feedback with alternative phrasing and behavioral recommendations
Comparative analysis to track communication growth across multiple time periods
Quantitative speaking statistics including speaking ratios and filler word frequency
89 GitHub stars
Comprehensive leadership and facilitation style evaluation with specific examples

Use Cases

Analyzing team dynamics and participation to ensure inclusive and effective meeting environments
Preparing for performance reviews with concrete data on meeting contributions and facilitation
Improving individual leadership skills through objective self-coaching and pattern awareness

About

Key Features

Behavioral pattern recognition for conflict avoidance and indirect communication
Actionable, timestamped feedback with alternative phrasing and behavioral recommendations
Comparative analysis to track communication growth across multiple time periods
Quantitative speaking statistics including speaking ratios and filler word frequency
89 GitHub stars
Comprehensive leadership and facilitation style evaluation with specific examples

Use Cases

Analyzing team dynamics and participation to ensure inclusive and effective meeting environments
Preparing for performance reviews with concrete data on meeting contributions and facilitation
Improving individual leadership skills through objective self-coaching and pattern awareness