What file formats does the Meeting Insights Analyzer support?

The skill scans for common transcript formats including .txt, .md, .vtt, .srt, and .docx files stored within your accessible project folders.

How do I get my meeting transcripts into the tool?

You can export transcripts from platforms like Zoom, Google Meet, Granola, or Otter.ai and save them into a folder. You then point Claude Code to that directory for analysis.

Is my sensitive meeting data kept private?

Yes. This skill operates within your Claude Code environment, meaning analysis is performed based on the local files you provide, adhering to your standard Claude privacy settings.

Can it distinguish between different speakers in a meeting?

Yes, as long as your transcripts include speaker labels, the skill can isolate your specific speaking patterns and calculate metrics relative to other participants.

Can it track my communication progress over time?

Absolutely. By analyzing transcripts from different months or quarters, the skill can highlight trends in your speaking habits and quantify improvements in areas like filler word reduction.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: ramirlm

byramirlm

生産性とワークフロー

Analyzes meeting transcripts to identify communication patterns, leadership behaviors, and actionable feedback for professional growth.

概要

The Meeting Insights Analyzer transforms raw meeting transcripts into a professional development powerhouse by identifying specific behavioral patterns like conflict avoidance, speaking-to-listening ratios, and the use of filler words. It provides objective, timestamped feedback on facilitation styles and communication clarity, enabling professionals and leaders to track their interpersonal growth over time and prepare for performance reviews with concrete data. Whether you are looking to improve your active listening or refine your executive presence, this skill offers the data-driven insights needed to communicate more effectively.

主な機能

Calculates speaking-to-listening ratios and turn-taking metrics across participants
Provides timestamped examples of communication strengths and growth opportunities
Detects filler words, hedging language, and sentiment patterns in real conversations
0 GitHub stars
Compares multiple meeting sessions to track communication improvements over time
Identifies recurring communication behaviors like conflict avoidance and indirect phrasing

ユースケース

Personal communication coaching and leadership style development
Analyzing team meeting dynamics to improve inclusivity and facilitation
Preparing evidence-based self-assessments for performance reviews and career growth

概要

主な機能

Calculates speaking-to-listening ratios and turn-taking metrics across participants
Provides timestamped examples of communication strengths and growth opportunities
Detects filler words, hedging language, and sentiment patterns in real conversations
0 GitHub stars
Compares multiple meeting sessions to track communication improvements over time
Identifies recurring communication behaviors like conflict avoidance and indirect phrasing

ユースケース

Personal communication coaching and leadership style development
Analyzing team meeting dynamics to improve inclusivity and facilitation
Preparing evidence-based self-assessments for performance reviews and career growth