Agent skill · writing content · daymade
meeting-minutes-taker
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).
Why this skill is useful
Adds structured meeting minutes generation process with specific workflows and speaker identification methods not commonly known.
What it needs
About 11k tokens when loaded. Last updated 2026-08-07. 1,320 stars on the source repository.
What this skill does
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/completenessreviewchecklist.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 Ask user to confirm the suggested filename before writing. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills daymade/meeting-minutes-taker