Initial commit

skills/conversation-analyzer/SKILL.md

@@ -0,0 +1,84 @@
+---
+name: conversation-analyzer
+description: Analyzes AI conversation exports to identify recurring patterns and generate custom Claude Skills. Use when analyzing conversation data, identifying workflow patterns, or creating reusable AI skills from usage history.
+---
+
+# Conversation Analyzer
+
+## Instructions
+
+This skill provides specialized capability for analyzing AI conversation exports (Claude, ChatGPT) to identify recurring patterns and generate reusable Custom Skills.
+
+1. **Data Processing & Pattern Discovery**
+   - Auto-detect platform format (Claude vs ChatGPT exports)
+   - Parse conversation histories, project data, and user information
+   - Extract expertise indicators and usage patterns
+   - Categorize patterns by domain (coding, writing, business, analysis)
+   - Identify task types (creation, transformation, analysis, troubleshooting)
+
+2. **Frequency & Temporal Analysis**
+   - Count pattern occurrences across conversation history
+   - Calculate temporal distribution and frequency trends
+   - Cross-reference with project data for validation
+   - Assess business impact and time investment patterns
+
+3. **Skill-Worthiness Evaluation** (0-10 scale scoring):
+   - **Frequency**: How often does this task occur?
+   - **Consistency**: How similar are requirements each time?
+   - **Complexity**: Would a skill meaningfully improve quality?
+   - **Time savings**: How much effort would a skill save?
+   - **Error reduction**: Common pitfalls a skill could prevent?
+
+4. **Cross-Platform Deduplication** (when both platforms present):
+   - Detect semantic similarity across platforms
+   - Identify cross-platform workflows vs genuine duplicates
+   - Merge evidence while preserving platform preferences
+   - Recalculate frequencies after deduplication
+
+5. **Skill Generation & Optimization**
+   - Create prioritization matrix (frequency vs. value/impact)
+   - Resolve overlaps and optimize skill boundaries
+   - Generate complete skill packages with YAML frontmatter
+   - Provide implementation roadmap and testing guidance
+
+## Quality Standards
+
+- Focus on patterns with >5% conversation frequency
+- Require 70%+ consistency across pattern instances
+- Target >30 min/week time savings potential
+- Maximum 12 skills total (recommend prioritizing top 5-8)
+- Platform-agnostic skill design
+- Evidence-based recommendations with conversation excerpts
+
+## Examples
+
+### Analyzing Claude Export
+**User Request**: "Analyze my Claude conversations to find skill opportunities"
+
+**Response**: 
+```
+I'll analyze your Claude conversation export to identify recurring patterns. Let me:
+
+1. Parse your conversations.json and projects.json files
+2. Identify frequent task patterns across your usage
+3. Evaluate each pattern for skill-worthiness
+4. Generate prioritized recommendations for Custom Skills
+
+Please ensure your export files are in data-exports/claude/ directory.
+```
+
+### Cross-Platform Analysis
+**User Request**: "I have both Claude and ChatGPT exports - analyze them together"
+
+**Response**:
+```
+I'll perform cross-platform analysis to identify your workflow patterns:
+
+1. Process both Claude and ChatGPT conversation data
+2. Detect and handle cross-platform duplicates
+3. Identify platform preferences for different task types
+4. Create unified skills that work across AI platforms
+5. Provide platform-agnostic skill recommendations
+
+This will give you the most accurate picture of your AI usage patterns.
+```