meeting-analyzer

Analyze meeting transcripts to surface behavioral patterns and coaching feedback.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/duyle10xba1901/train-agent --skill meeting-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meeting-analyzer
Source: https://github.com/duyle10xba1901/train-agent/tree/main/project-management/meeting-analyzer
Command: npx skills add https://github.com/duyle10xba1901/train-agent --skill meeting-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Meeting transcripts and recordings arrive in inconsistent formats with no instant way to understand what they reveal about your communication habits, conflict avoidance, or facilitation effectiveness. This Skill inventories every transcript, infers speakers, normalizes timestamps, and distills evidence-based coaching feedback so you can act on real behavioral data instead of gut feeling.

Core Features & Use Cases

  • Transcript ingestion & inventory: Scans directories for txt, md, vtt, srt, docx, and json exports, extracts metadata, and confirms scope before heavy analysis.
  • Modular communication analysis: Calculates speaking dynamics, hedging patterns, filler words, question quality, facilitation discipline, and sentiment arcs to surface actionable insights.
  • Conflict & coaching example: Identify when you hedge in response to performance concerns, surface filler-word spikes when talking to executives, and compare facilitator habits across meetings.
  • Use case: Feed a batch of Zoom and Otter transcripts to get a single report that quantifies your speaking share, highlights energy drops, and suggests how to stay more direct when conflict arises.

Quick Start

Ask the meeting analyzer to review my latest transcripts and summarize how I show up in meetings so I can coach myself with real evidence.

Frequently Asked Questions about meeting-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze meeting transcripts to surface communication patterns?

To analyze meeting transcripts, you can upload txt, md, vtt, srt, docx, or json files and ask for insights on communication habits, speaking ratios, or filler words. The skill identifies speakers, normalizes timestamps, and generates actionable coaching feedback.

Can I use vtt or srt files to measure speaking dynamics and filler words?

Yes, vtt and srt files are supported. The skill scans your transcripts, infers speakers, and calculates speaking dynamics, hedging patterns, filler words, and question quality to reveal actionable communication insights.

Does meeting analysis work without speaker labels or timestamps?

Meeting analysis works without speaker labels or timestamps, but the skill will issue warnings when they are missing. Speaker identification and timestamp normalization are applied to ensure accurate behavioral pattern analysis.

What is the best way to evaluate conflict avoidance from Zoom or Otter exports?

The best way to evaluate conflict avoidance is to feed batch Zoom or Otter transcripts into the analyzer. It identifies hedging in response to performance concerns and suggests how to stay more direct when conflict arises.

How do I get coaching feedback from a batch of meeting transcripts?

To get coaching feedback, reference your uploaded meeting transcripts and ask the analyzer to summarize how you show up. It distills evidence-based feedback on facilitation discipline, energy drops, and speaking share across meetings.