meeting-insights-analyzer

Analyzes meeting transcripts to identify communication patterns and behavioral insights.

Updated Aug 12, 2026
One-click install
npx skills add https://github.com/Barbaros911/As-mine --skill meeting-insights-analyzer-barbaros911
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meeting-insights-analyzer
Source: https://github.com/Barbaros911/As-mine/tree/main/.claude/skills/meeting-insights-analyzer
Command: npx skills add https://github.com/Barbaros911/As-mine --skill meeting-insights-analyzer-barbaros911

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Professionals rarely get objective feedback on how they communicate in meetings. This Skill turns raw meeting transcripts into concrete, timestamped evidence of habits like conflict avoidance, filler words, interruptions, and poor listening, so you can improve with real examples instead of guesswork. ## Core Features & Use Cases - Pattern Recognition: Detects conflict avoidance, hedging language, speaking ratios, interruptions, and question-versus-statement balance across multiple transcripts. - Communication Analysis: Counts filler words, evaluates clarity and directness, and identifies active listening behaviors such as paraphrasing and building on others' ideas. - Trend Tracking: Compares patterns across time periods (e.g., Q1 vs. Q2) to measure improvement in facilitation and leadership skills. - Use Case: A manager exports a month of Zoom transcripts to a folder and asks when they avoided giving direct feedback, receiving timestamped quotes, impact explanations, and better alternative phrasings. ## Quick Start Analyze all meeting transcripts in this folder and tell me when I avoided conflict or used filler words.

Frequently Asked Questions about meeting-insights-analyzer

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

FAQPage Schema
How do I analyze meeting transcripts for communication patterns?▼

Place your transcript files (.txt, .md, .vtt, .srt, .docx) in a folder and ask for the analysis you want, such as conflict avoidance or speaking ratios. The analysis scans for hedging language, interruptions, filler words, and listening indicators, returning timestamped examples.

What transcript formats are supported for meeting analysis?▼

Supported formats include .txt, .md, .vtt, .srt, and .docx files. Transcripts work best when they contain speaker labels and timestamps, which enable speaking ratio calculations and precise example citations.

Can I export transcripts from Zoom or Google Meet for analysis?▼

Yes. Zoom cloud recording produces VTT or SRT transcript files, and Google Meet auto-transcription can be saved as text files. Tools like Granola, Otter.ai, and Fireflies.ai also support bulk transcript export to a local folder.

How do I track communication improvement over time?▼

Ask for a comparative analysis between two time periods, such as Q1 versus Q2 meetings. The output shows metric changes like interruptions per meeting, clarifying questions asked, and filler word frequency, with examples illustrating the difference.

What are the limitations of transcript-based communication analysis?▼

Analysis quality depends on accurate speaker labels and timestamps in the transcripts. It cannot evaluate tone of voice, body language, or nonverbal cues, and poor transcription accuracy may cause missed or misattributed patterns.