| 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.
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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)
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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
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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?
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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
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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.
