Whatsapp Action Extractor

Directory: launch-agent-skills/skills/whatsapp-action-extractor/skill.md

name: Action Item Extractor description: Extract TODOs, commitments, follow-ups, and action items from chat conversations triggers: - action items - todos - follow ups - commitments - tasks - what needs to be done

Action Item Extractor

Purpose

Identify and extract actionable items from conversations:

• Explicit TODOs ("I'll do X")
• Implicit commitments ("Let me check on that")
• Requests ("Can you...?")
• Deadlines and due dates
• Follow-up items

Instructions

Step 1: Identify Action Patterns

action_patterns = {
    # Explicit commitments
    'self_commitment': [
        r"i('ll| will) (do|send|check|review|update|fix|create|schedule)",
        r"let me (do|send|check|handle|take care of)",
        r"i('m going to|'ll) (work on|look into|investigate)",
        r"will do",
        r"on it",
        r"i can (do|handle|take) (that|this|it)"
    ],
    
    # Requests to others
    'request': [
        r"can you (please )?(do|send|check|review|update|fix|create)",
        r"could you (please )?(do|send|check|review|update|fix|create)",
        r"please (do|send|check|review|update|fix|create)",
        r"(would|could) you mind",
        r"need you to",
        r"(your|you're) (task|job|responsibility)"
    ],
    
    # Explicit TODO markers
    'explicit_todo': [
        r"TODO:",
        r"ACTION:",
        r"TASK:",
        r"REMINDER:",
        r"\[ \]",  # Unchecked checkbox
        r"don't forget to",
        r"remember to",
        r"make sure to"
    ],
    
    # Deadline indicators
    'deadline': [
        r"by (monday|tuesday|wednesday|thursday|friday|saturday|sunday)",
        r"by (tomorrow|today|tonight|EOD|end of day|end of week|EOW)",
        r"before \d{1,2}(:\d{2})?\s*(am|pm)?",
        r"due (on|by|date)",
        r"deadline",
        r"ASAP",
        r"urgent(ly)?",
        r"as soon as possible"
    ],
    
    # Follow-up indicators
    'follow_up': [
        r"follow up",
        r"circle back",
        r"check (back|in) (on|with|later)",
        r"let('s| us) (revisit|discuss|talk about) (this|that) (later|tomorrow|next week)",
        r"ping me",
        r"remind me",
        r"keep me (posted|updated)"
    ]
}

Step 2: Extract Context

For each action item found:

• Who: Assignee (who should do it)
• What: The actual task
• When: Due date/deadline if mentioned
• Why: Context from surrounding messages
• Priority: Inferred from language (ASAP = high, etc.)

Step 3: Structure Output

{
  "action_items": [
    {
      "id": 1,
      "type": "commitment",
      "task": "Review Bob's PR #142",
      "assignee": "Alice Developer",
      "deadline": "EOD today",
      "priority": "high",
      "context": "Bob submitted the auth bug fix",
      "source_message": "Action item: Review Bob's PR #142",
      "timestamp": "28/01/2026 14:35:22"
    },
    {
      "id": 2,
      "type": "request",
      "task": "Update the README",
      "assignee": "Bob Engineer",
      "deadline": "Before PR merge",
      "priority": "medium",
      "context": "Documentation needs updating",
      "source_message": "Can you also update the README?",
      "timestamp": "28/01/2026 09:16:45"
    }
  ],
  "summary": {
    "total_items": 2,
    "by_assignee": {
      "Alice Developer": 1,
      "Bob Engineer": 1
    },
    "by_priority": {
      "high": 1,
      "medium": 1,
      "low": 0
    },
    "overdue": 0,
    "due_today": 1
  }
}

Step 4: Format for Output

Markdown Format:

## Action Items Extracted

### High Priority 🔴
- [ ] **Review Bob's PR #142** - @Alice Developer - Due: EOD today
  > Context: Bob submitted the auth bug fix

### Medium Priority 🟡
- [ ] **Update the README** - @Bob Engineer - Due: Before PR merge
  > Context: Documentation needs updating

### Summary
| Assignee | Tasks | Completed |
|----------|-------|-----------|
| Alice Developer | 1 | 0 |
| Bob Engineer | 1 | 0 |

Priority Inference Rules

Assignee Resolution

When assignee is ambiguous:

1. Check for "@name" mentions
2. Check for "you" (addressee of message)
3. Check for "I/I'll" (message sender)
4. If still unclear, mark as "TBD"

Example Usage

User: "Extract action items from the parsed chat"

Claude should:

1. Scan all messages for action patterns
2. Resolve assignees and deadlines
3. Prioritize based on language cues
4. Present in actionable format (checkboxes)
5. Provide summary statistics

Edge Cases

Related Skills

• whatsapp-parser - Parse raw chat first
• whatsapp-summarizer - Get broader context