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

  1. Accept the conversation text (from user message, pasted text, or file).
  2. Parse and analyze for each category below.
  3. 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

#ActionOwnerDeadlineStatus
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).

Gostou desta skill? Deixe uma estrela no ClawHub para ajudar outros a encontrá-la!

相关技能

Turn conversations into grounded decisions

1 次安装

Turn conversations, field observations, and follow-up reasoning from complex collaborative projects into evidence-backed analysis of participant understandin...

Turn raw meeting notes or transcripts into structured action: decisions log, action items with owner and deadline, open questions, and a distributable summary email. Extracts who-committed-to-what with date parsing (natural language dates resolved against the meeting date), deduplicates, tracks carryover between meetings, and generates per-owner task lists. Use when the user has meeting notes/transcripts and needs minutes, action items, or a follow-up summary.

1 次安装

Objectively score meeting quality from a transcript. Three dimensions: decision clarity, time efficiency, participation balance. Outputs a Markdown report an...

1 次安装

Read meeting minutes, produce a short summary with the current conversation model, save the meeting text and summary into local memory, answer follow-up ques...

22 次安装