What file formats does this skill support?

The Meeting Insights Analyzer supports various text-based formats including .txt, .md, .vtt, .srt, and .docx transcripts.

Can it track my communication progress over time?

Yes, the skill can compare multiple transcript folders across different quarters or months to identify improvements in your speaking habits and listening skills.

Does it work with Zoom or Google Meet?

Yes, as long as you can export your transcripts (via Zoom cloud recordings, Google Meet docs, or tools like Grain/Otter.ai), this skill can analyze them locally.

How does it identify conflict avoidance?

It scans for 'hedging' language such as 'maybe' or 'potentially' and identifies moments where direct feedback was requested but the response was indirect or deflected.

Is my meeting data kept private?

Yes, because this skill runs within Claude Code, it analyzes the files stored locally in your specified directories without requiring external cloud uploads.

Meeting Insights Analyzer

Name: Meeting Insights Analyzer
Author: Activer007

byActiver007

Productividad y Flujo de Trabajo

Analyzes meeting transcripts to identify communication patterns, conflict avoidance, and leadership growth opportunities.

Acerca de

The Meeting Insights Analyzer is a specialized Claude Code skill designed to transform raw meeting transcripts into a roadmap for professional development. By scanning recordings and text files, it identifies subtle behavioral trends such as hedging language, speaking-to-listening ratios, and instances of missed conflict resolution. It provides managers, executives, and team members with timestamped examples and actionable feedback to refine their facilitation style, reduce filler words, and improve overall leadership communication through data-driven self-reflection.

Características Principales

Automated behavioral pattern recognition including conflict avoidance and interruptions.
Quantitative speaking statistics and speaking-to-listening ratios.
Detection of filler words and hedging language with frequency tracking.
Leadership facilitation analysis to evaluate meeting control and inclusivity.
Cross-meeting trend tracking to measure communication growth over time.
0 GitHub stars

Casos de Uso

Coaching team members by providing objective, timestamped feedback on their facilitation style.
Analyzing personal communication habits to prepare for performance reviews with concrete data.
Identifying and reducing indirect communication or 'hedging' in high-stakes project meetings.

Acerca de

Características Principales

Automated behavioral pattern recognition including conflict avoidance and interruptions.
Quantitative speaking statistics and speaking-to-listening ratios.
Detection of filler words and hedging language with frequency tracking.
Leadership facilitation analysis to evaluate meeting control and inclusivity.
Cross-meeting trend tracking to measure communication growth over time.
0 GitHub stars

Casos de Uso

Coaching team members by providing objective, timestamped feedback on their facilitation style.
Analyzing personal communication habits to prepare for performance reviews with concrete data.
Identifying and reducing indirect communication or 'hedging' in high-stakes project meetings.