Directory: launch-agent-skills/skills/whatsapp-summarizer/skill.md

name: Chat Summarizer description: Generate concise summaries from parsed chat conversations, identifying key topics, decisions, and themes triggers:

•summarize chat
•conversation summary
•chat overview
•what was discussed
•meeting notes

Chat Summarizer

Purpose

Transform parsed chat data into actionable summaries including:

•Executive summary (2-3 sentences)
•Key topics discussed
•Decisions made
•Important dates/deadlines mentioned
•Sentiment analysis (optional)

Prerequisites

This skill works best with already parsed chat data (from whatsapp-parser skill). Can also work directly with raw text if needed.

Instructions

Step 1: Analyze Conversation Structure

Identify conversation segments:

•Thread starters: Messages that introduce new topics
•Responses: Replies and reactions
•Transitions: Topic changes

Step 2: Extract Key Elements

Look for these patterns:

python

key_patterns = {
    'decisions': [
        r"let's go with",
        r"we'll do",
        r"decided to",
        r"agreed on",
        r"confirmed",
        r"approved"
    ],
    'deadlines': [
        r"by (monday|tuesday|wednesday|thursday|friday|tomorrow|EOD|end of day)",
        r"due (on|by) \w+",
        r"deadline",
        r"before \d{1,2}(am|pm)"
    ],
    'blockers': [
        r"blocked by",
        r"waiting on",
        r"can't proceed",
        r"need .* first",
        r"depends on"
    ],
    'questions': [
        r"\?$",
        r"^(what|when|where|who|why|how|can|could|should|would)"
    ]
}

Step 3: Generate Summary Structure

json

{
  "executive_summary": "Brief 2-3 sentence overview",
  "key_topics": [
    {
      "topic": "Code deployment",
      "discussed_by": ["Alice", "Bob"],
      "outcome": "Agreed to deploy Monday"
    }
  ],
  "decisions": [
    {
      "decision": "Use FastAPI for the new service",
      "made_by": "Alice",
      "context": "Performance requirements"
    }
  ],
  "open_questions": [
    "What's the budget for cloud hosting?"
  ],
  "deadlines": [
    {
      "item": "PR review",
      "due": "EOD today",
      "owner": "Bob"
    }
  ],
  "sentiment": "productive",
  "conversation_stats": {
    "duration": "2 hours",
    "most_active": "Alice (23 messages)",
    "response_time_avg": "3 minutes"
  }
}

Step 4: Apply Summary Template

For Professional/Work Chats:

markdown

## Chat Summary: [Date Range]

### TL;DR
[Executive summary in 2-3 sentences]

### Key Decisions
- [Decision 1] - by [Person]
- [Decision 2] - by [Person]

### Action Items
- [ ] [Task] - [Owner] - Due: [Date]

### Topics Discussed
1. **[Topic 1]**: [Brief description]
2. **[Topic 2]**: [Brief description]

### Open Questions
- [Question still needing answers]

For Casual/Social Chats:

markdown

## Chat Highlights: [Date Range]

### What Happened
[Casual summary of the conversation]

### Fun Moments
- [Interesting/funny exchanges]

### Plans Made
- [Any meetups, events, or plans]

Summarization Guidelines

Aspect	Guideline
Length	10-20% of original content
Tone	Match the chat's formality level
Names	Preserve participant names
Quotes	Include 1-2 key quotes if impactful
Dates	Convert relative dates to absolute when possible

Example Usage

User: "Summarize the parsed WhatsApp chat"

Claude should:

•Check if chat is already parsed (use whatsapp-parser if not)
•Identify conversation type (work/casual)
•Apply appropriate template
•Highlight actionable items prominently

Edge Cases

•Very short chats (< 10 messages): Provide brief overview, note limited content
•Media-heavy chats: Note media context, summarize text content
•Multi-topic chats: Create separate sections per topic
•Emotional conversations: Handle sensitively, focus on facts

Related Skills

•whatsapp-parser - Parse raw chat files first
•whatsapp-action-extractor - Deep dive into action items