Where should I get my meeting transcripts from?

You can use exports from tools like Zoom (VTT/SRT), Google Meet (Docs transcription), or specialized services like Granola, Otter.ai, and Fireflies.ai.

What file formats are supported for meeting analysis?

The skill can scan and process a variety of transcript formats including .txt, .md, .vtt, .srt, and .docx files.

How does the skill identify conflict avoidance?

It looks for linguistic markers like hedging language ('maybe', 'I think'), indirect phrasing, and instances where the user changes the subject during tense moments.

Can I compare my performance across different time periods?

Yes, you can request comparative analyses, such as comparing Q1 versus Q2, to track improvements in listening skills or speaking ratios.

Is my meeting data private during the analysis?

As a Claude Code skill, the analysis is performed on your local files, ensuring that sensitive meeting data remains within your controlled environment.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: nordeim

bynordeim

生産性とワークフロー

Analyzes meeting transcripts to uncover communication patterns, identify behavioral habits, and provide actionable leadership feedback.

概要

The Meeting Insights Analyzer is a specialized skill for Claude Code that transforms raw meeting transcripts into a powerful professional development tool. By processing data from recordings, it identifies subtle communication behaviors such as conflict avoidance, speaking-to-listening ratios, and the use of filler words. It provides professionals with timestamped examples and specific recommendations to improve facilitation, directness, and active listening. This skill is ideal for managers, coaches, and anyone looking to refine their leadership presence and team collaboration through data-driven insights.

主な機能

0 GitHub stars
Detailed speaking statistics including turn-taking ratios and interruption counts
Comparative trend tracking to measure communication growth over time
Active listening assessment through question-tracking and summarization markers
Filler word and hedging language analysis to improve verbal clarity
Automated pattern recognition for conflict avoidance and indirect communication

ユースケース

Reviewing leadership and facilitation effectiveness after team meetings
Extracting concrete examples of communication habits for performance reviews
Coaching team members on their engagement levels and conversational influence

概要

主な機能

0 GitHub stars
Detailed speaking statistics including turn-taking ratios and interruption counts
Comparative trend tracking to measure communication growth over time
Active listening assessment through question-tracking and summarization markers
Filler word and hedging language analysis to improve verbal clarity
Automated pattern recognition for conflict avoidance and indirect communication

ユースケース

Reviewing leadership and facilitation effectiveness after team meetings
Extracting concrete examples of communication habits for performance reviews
Coaching team members on their engagement levels and conversational influence