# Meeting Minutes Taker

Transforms raw meeting transcripts into structured, evidence-based meeting minutes, ...

- Repository: https://github.com/daymade/claude-code-skills (1509 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add daymade/claude-code-skills --skill meeting-minutes-taker -g -a claude-code -y`
Codex: `npx skills add daymade/claude-code-skills --skill meeting-minutes-taker -g -a codex -y`
Cursor: `npx skills add daymade/claude-code-skills --skill meeting-minutes-taker -g -a cursor -y`
Gemini CLI: `npx skills add daymade/claude-code-skills --skill meeting-minutes-taker -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add daymade/claude-code-skills`

## Description

Transforms raw meeting transcripts into structured, evidence-based meeting minutes, merges multiple versions without losing content, reviews existing minutes against the transcript for missing items, and identifies anonymous speakers (Speaker 1/2/3, 发言人1). Triggers on 会议纪要, 会议记录, 整理纪要, 妙记转纪要, "write meeting minutes", "merge these minutes". Not for fixing ASR/STT errors first (use transcript-fixer).

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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

**Core Workflow:**
1. Read the transcript provided by user
2. Load project-specific context file if provided by user (optional)
3. **Intelligent file naming**: Auto-generate filename from content (see below)
4. **Speaker identification**: If transcript has "Speaker 1/2/3", FIRST ask the user to label speakers on the source platform and re-export (see Step 1.5 Phase 0); infer from text only as a fallback
5. **Multi-turn generation**: Use multiple passes or subagents with isolated context, merge using UNION
6. Self-review using [references/completeness_review_checklist.md](references/completeness_review_checklist.md)
7. Present draft to user for human line-by-line review
8. **Cross-AI comparison** (optional): Human may provide output from other AI tools (e.g., Gemini, ChatGPT) - merge to reduce bias
9. Iterate on feedback until human approves final version

### Intelligent File Naming

Auto-generate output filename from transcript content:

**Pattern**: `YYYY-MM-DD-<topic>-<type>.md`

| Component | Source | Examples |
|-----------|--------|----------|
| Date | Transcript metadata or first date mention | `2026-01-25` |
| Topic | Main discussion subject (2-4 words, kebab-case) | `api-design`, `product-roadmap` |
| Type | Meeting category | `review`, `sync`, `planning`, `retro`, `kickoff` |

**Examples:**
- `2026-01-25-order-api-design-review.md`
- `2026-01-20-q1-sprint-planning.md`
- `2026-01-18-onboarding-flow-sync.md`

The rest: https://github.com/daymade/claude-code-skills/blob/HEAD/daymade-audio/meeting-minutes-taker/SKILL.md