Turn conversations into grounded decisions
编程
Conversa Analyzer
试用Analyze conversation transcripts: decisions, action items, dates, people, executive summary.
它能做什么
Analyze conversation transcripts: decisions, action items, dates, people, executive summary.
技能文档
Conversation Analyzer
Extract structured insights from conversation transcripts (WhatsApp, email threads, meeting notes, chat logs).
Trigger
Invoke when the user shares a conversation transcript or asks "analyze this conversation", "extract decisions", "what came out of this chat".
Workflow
- Accept the conversation text (from user message, pasted text, or file).
- Parse and analyze for each category below.
- Output a clean structured report.
Output Structure
📝 Executive Summary
3-5 lines: what was discussed, what was decided, key outcome.
📌 Decisions Made
- What was decided
- Who was involved
- Context/constraints
✅ Action Items
| # | Action | Owner | Deadline | Status |
|---|---|---|---|---|
| 1 | ... | ... | ... | Pending |
📅 Dates & Commitments
- Event/commitment → Date → Who committed
👤 People Involved
- Name: Role in conversation, responsibilities mentioned
⚠️ Open Questions / Risks
Anything unresolved, ambiguous, or risky.
Notes
- If the input is very long (>10000 chars), summarize first then extract.
- If no conversation context is provided, ask the user to provide the text or point to a file.
- Use bullet lists, not tables, for WhatsApp-friendly output (no markdown tables).
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