Meeting Summary Extractor
Structured extraction with specific categories (decisions, action items, open questions) turns messy transcripts into actionable summaries. The table format for action items makes follow-up easy.
Summarize this meeting transcript into a structured summary. Transcript: """ {{paste_transcript}} """ Format: ## Meeting Summary **Date:** {{date}} **Attendees:** (extract from transcript) ## Key Decisions - (list each decision made, who made it, and the reasoning) ## Action Items | Action | Owner | Deadline | |--------|-------|----------| (extract all commitments) ## Open Questions - (anything unresolved that needs follow-up) ## Notable Quotes - (1-2 quotes that capture the most important points)
Variables to customize
Why this prompt works
Structured extraction with specific categories (decisions, action items, open questions) turns messy transcripts into actionable summaries. The table format for action items makes follow-up easy.
What you get when you save this prompt
Your workspace unlocks powerful tools to iterate and improve.
AI Optimization
One-click improvement with structure analysis and pattern suggestions.
Version History
Track every edit. Compare versions side-by-side with word-level diffs.
Folders & Tags
Organize your library with nested folders, tags, and drag-and-drop.
$ npm i -g @promptingbox/mcpUse Everywhere
Access prompts from Claude, Cursor, ChatGPT & more via MCP integration.
Your prompts, organized
Save, version, and access your best prompts across ChatGPT, Claude, Cursor, and more.