Meeting Minutes Taker

This turns meeting transcripts into structured minutes through iterative refinement, and it's built for messy real-world scenarios. If your transcript has "Speaker 1, Speaker 2" labels, it uses word count and speaking patterns to identify who's who, optionally matching against a team directory. The multi-turn generation approach runs three parallel passes and merges them to avoid losing content, which is smart if you've ever had an LLM drop action items. It auto-generates filenames from content, integrates with transcript cleanup tools, and includes a human review loop with cross-AI comparison support. The speaker identification logic alone makes this worth trying if you're dealing with auto-transcribed meetings.

skills.sh installs: 1.6K
GitHub stars: 1.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add daymade/claude-code-skills --skill meeting-minutes-taker --agent claude-code

Installs into .claude/skills of the current project.

Files

Meeting Minutes Taker

Transform raw meeting transcripts into comprehensive, evidence-based meeting minutes through iterative review.

Quick Start

Pre-processing (Optional but Recommended):

Document conversion: Use doc-to-markdown skill to convert .docx/.pdf to Markdown first (preserves tables/images)
Transcript cleanup: Use transcript-fixer skill to fix ASR/STT errors if transcript quality is poor
Context file: Prepare context.md with team directory for accurate speaker identification

SKILL.md on GitHub

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