workflow-pattern-analyzer-web

# Workflow Pattern Analyzer (Web Compatible)

## Instructions

This skill provides comprehensive conversation pattern analysis using Claude's native chat history tools (`recent_chats` and `conversation_search`) to identify skill-worthy automation opportunities with statistical rigor.

**Core Capabilities:**
- Web interface compatible (no exports required)
- Statistical pattern validation and scoring
- Frequency analysis and temporal tracking
- Evidence-based skill recommendations
- Complete skill package generation

**Compatible with:** Claude.ai web interface, Claude Code, API

**How Analysis Works:**
- **No scripts or Python files**: This is a pure prompt-based analysis using Claude's native capabilities
- **Full content analysis**: Examines complete conversation content, messages, and patterns (not just titles or names)
- **Thread names**: Renaming conversations has minimal impact - analysis focuses on actual message content and patterns
- **Domain discovery**: Categories emerge from your actual usage data, not forced into predefined buckets
- **Data-driven approach**: Identifies YOUR specific patterns (recipes, image prompting, game design, etc.) rather than assuming business/coding focus

## Analysis Framework

### Phase 1: Data Collection Strategy

**Determine Analysis Scope:**

Ask user: "How deep should I analyze your conversation history?"

**Options:**
- **Quick Scan** (20-30 conversations, ~2-3 min): Recent patterns and immediate opportunities
- **Standard Analysis** (50-75 conversations, ~5-7 min): Comprehensive pattern detection
- **Deep Dive** (100+ conversations, ~10-15 min): Full workflow mapping with temporal trends
- **Targeted Search** (variable): Focus on specific topics or time periods

**Data Collection Process:**

1. **Broad Sampling**: Use `recent_chats(n=30)` multiple times with varied parameters to get diverse coverage
2. **Temporal Distribution**: Sample conversations across different time periods (recent, 1 week ago, 1 month ago)
3. **Top