Does it require speaker labels to work?

While it can analyze general sentiment without them, speaker labels are highly recommended for accurate speaking ratios, interruption counts, and personalized feedback.

How does it detect conflict avoidance?

It identifies hedging language (e.g., 'maybe', 'sort of'), indirect phrasing, and instances where the user shifts the subject when tension or disagreement arises in the transcript.

What file formats does the Meeting Insights Analyzer support?

The skill can process various transcript formats including .txt, .md, .vtt, .srt, and .docx files, as long as they contain readable text.

Is my meeting data uploaded to an external server?

No, as a Claude Code skill, the analysis is performed within your local development environment, ensuring your sensitive meeting transcripts remain private and secure.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: MonIKaMR25

byMonIKaMR25

生产力与工作流

Analyzes meeting transcripts to identify behavioral patterns, communication habits, and actionable growth opportunities for professionals.

关于

The Meeting Insights Analyzer is a specialized Claude Code skill designed to transform raw meeting transcripts into a comprehensive communication audit. By scanning files for specific speech patterns, it identifies tendencies like conflict avoidance, excessive filler words, and imbalanced speaking ratios. This tool is invaluable for leaders and team members looking to improve their facilitation style, increase directness, and track their professional development through concrete, timestamped examples from real-world interactions.

主要功能

Timestamped actionable feedback with specific examples of what happened and how to improve.
Behavioral pattern recognition for identifying conflict avoidance and indirect communication.
Multi-meeting trend tracking to visualize communication growth and skill improvement over time.
Facilitation style auditing to evaluate meeting control, inclusion, and decision-making approaches.
Quantitative speech metrics including speaking-to-listening ratios and filler word frequency.
0 GitHub stars

使用场景

Developing leadership and facilitation skills through objective, data-driven communication analysis.
Preparing for performance reviews with documented examples of communication strengths and growth.
Coaching team members by providing specific feedback on their communication patterns and meeting presence.

关于

主要功能

Timestamped actionable feedback with specific examples of what happened and how to improve.
Behavioral pattern recognition for identifying conflict avoidance and indirect communication.
Multi-meeting trend tracking to visualize communication growth and skill improvement over time.
Facilitation style auditing to evaluate meeting control, inclusion, and decision-making approaches.
Quantitative speech metrics including speaking-to-listening ratios and filler word frequency.
0 GitHub stars

使用场景

Developing leadership and facilitation skills through objective, data-driven communication analysis.
Preparing for performance reviews with documented examples of communication strengths and growth.
Coaching team members by providing specific feedback on their communication patterns and meeting presence.