Generate and edit Draw.io, Mermaid, and Excalidraw diagrams from natural language using a structured JSON spec.
by nssa.io1.0k installs47 stars
Coding
Conversa Analyzer
Try itAnalyze conversation transcripts: decisions, action items, dates, people, executive summary.
What it does
Extract structured insights from conversation transcripts (WhatsApp, email threads, meeting notes, chat logs).
The skill document
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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