How do I provide transcripts to this Claude Code skill?

Simply place your meeting transcript files (in formats like .txt, .vtt, .srt, or .md) into a folder, navigate to that directory in Claude Code, and ask for an analysis.

What specific behaviors can the analyzer identify?

It identifies conflict avoidance, hedging language, speaking-to-listening ratios, interruptions, filler word usage, and active listening indicators.

Can I track my communication improvements over time?

Yes, the skill can perform comparative analysis between different folders or date ranges to show how your communication patterns have evolved.

Which meeting platforms are supported?

Any platform that allows you to export transcripts or recordings as text files is supported, including Zoom, Google Meet, Fireflies.ai, and Granola.

Is my meeting data private when using this skill?

The skill processes your local transcript files using Claude Code's interface, allowing you to maintain control over sensitive meeting data within your environment.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: lifangda

bylifangda

•

협업 도구

Analyzes meeting transcripts to uncover behavioral patterns, communication habits, and actionable leadership insights.

소개

The Meeting Insights Analyzer is a specialized Claude Code skill designed to transform raw meeting transcripts into a roadmap for professional growth. By scanning transcripts for indicators like conflict avoidance, speaking-to-listening ratios, and the use of filler words, it provides objective feedback on your communication style. Whether you are a manager looking to improve team facilitation or a professional aiming for greater clarity in discussions, this skill helps identify recurring trends and offers specific, timestamped examples to guide behavioral changes and track improvement over time.

주요 기능

Actionable, timestamped feedback providing concrete examples and alternative phrasing
Cross-platform support for transcripts from Zoom, Google Meet, Granola, and other major services
16 GitHub stars
Trend tracking capabilities to compare communication progress across multiple meeting periods
Quantitative speaking statistics including turn-taking ratios, interruptions, and filler word frequency
Behavioral pattern recognition for identifying conflict avoidance and indirect communication

사용 사례

Identifying and reducing verbal fillers and hedging language in high-stakes discussions
Coaching team members on communication style and meeting facilitation skills
Preparing for performance reviews with concrete examples of leadership growth

소개

주요 기능

Actionable, timestamped feedback providing concrete examples and alternative phrasing
Cross-platform support for transcripts from Zoom, Google Meet, Granola, and other major services
16 GitHub stars
Trend tracking capabilities to compare communication progress across multiple meeting periods
Quantitative speaking statistics including turn-taking ratios, interruptions, and filler word frequency
Behavioral pattern recognition for identifying conflict avoidance and indirect communication

사용 사례

Identifying and reducing verbal fillers and hedging language in high-stakes discussions
Coaching team members on communication style and meeting facilitation skills
Preparing for performance reviews with concrete examples of leadership growth