How do I provide transcripts to the skill?

Store your transcript files in formats like .txt, .md, .vtt, or .srt in a local folder, then navigate to that folder within Claude Code to run your analysis requests.

Can it detect specific speakers?

Yes, as long as your transcripts include speaker labels, the skill can identify your specific identifier and analyze your individual communication patterns compared to others.

Which meeting platforms are supported?

The skill is platform-agnostic and works with any text-based transcript exported from tools like Zoom, Google Meet, Granola, Otter.ai, or Fireflies.ai.

Does this skill analyze video or audio files directly?

No, it processes text-based transcripts. You must first transcribe your recordings using a transcription service or meeting assistant before using this skill.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: lifangda

bylifangda

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Collaboration Tools

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

About

The Meeting Insights Analyzer transforms raw meeting transcripts into a comprehensive communication coaching tool, helping professionals improve their leadership and interpersonal effectiveness. By scanning folders of transcripts, it identifies subtle behaviors like conflict avoidance, measures speaking-to-listening ratios, tracks filler word usage, and provides specific timestamped feedback. Whether you're looking to refine your facilitation style or prepare for a performance review, this skill provides the data-driven insights needed to become a more direct and effective communicator.

Key Features

Pattern Recognition: Detects conflict avoidance, hedging language, and indirect communication habits.
Communication Metrics: Calculates speaking-to-listening ratios, interruption counts, and turn-taking frequency.
Behavioral Feedback: Provides timestamped examples of filler words and missed opportunities with improvement tips.
Trend Tracking: Compares communication style changes and improvements across multiple meetings or quarters.
Leadership Coaching: Evaluates meeting facilitation effectiveness, inclusion of voices, and decision-making styles.
16 GitHub stars

Use Cases

Coaching team members on their meeting facilitation and inclusion skills.
Identifying and reducing the use of filler words in high-stakes presentations.
Preparing for performance reviews with data-backed evidence of communication growth.

About

Key Features

Pattern Recognition: Detects conflict avoidance, hedging language, and indirect communication habits.
Communication Metrics: Calculates speaking-to-listening ratios, interruption counts, and turn-taking frequency.
Behavioral Feedback: Provides timestamped examples of filler words and missed opportunities with improvement tips.
Trend Tracking: Compares communication style changes and improvements across multiple meetings or quarters.
Leadership Coaching: Evaluates meeting facilitation effectiveness, inclusion of voices, and decision-making styles.
16 GitHub stars

Use Cases

Coaching team members on their meeting facilitation and inclusion skills.
Identifying and reducing the use of filler words in high-stakes presentations.
Preparing for performance reviews with data-backed evidence of communication growth.