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