Conversation Analyzer

Analyzes your Claude Code conversation history to identify patterns, common mistakes, and workflow improvement opportunities.

When to Use

• "analyze my conversations"
• "review my Claude Code history"
• "what patterns do you see in my usage"
• "how can I improve my workflow"
• "am I using Claude Code effectively"

What It Analyzes

1. Request type distribution (bug fixes, features, refactoring, queries, testing)
2. Most active projects
3. Common error keywords
4. Time-of-day patterns
5. Repetitive tasks (automation opportunities)
6. Vague requests causing back-and-forth
7. Complex tasks attempted without planning
8. Recurring bugs/errors

Analysis Scope

Default: Last 200 conversations for recency and relevance.

Methodology

1. Request Type Distribution

Categorizes by: bug fixes, feature additions, refactoring, information queries, testing, other.

2. Project Activity

Tracks which projects consume most time, identifies project-specific patterns.

3. Time Patterns

Hour-of-day usage distribution, identifies peak productivity times.

4. Common Mistakes

• Vague requests: Initial requests lacking context vs. acceptable follow-ups
• Repeated fixes: Same issues occurring multiple times
• Complex tasks: Multi-step requests without planning
• Repetitive commands: Manual tasks that could be automated

5. Error Analysis

Frequency of error-related requests, common error keywords, recurring problems.

6. Automation Opportunities

Identifies repeated exact requests, suggests skills, slash commands, or scripts.

Output

Structured report with:

• Statistics: Request types, active projects, timing patterns
• Patterns: Common tasks, repetitive commands, complexity indicators
• Issues: Specific problems with examples
• Recommendations: Prioritized, actionable improvements

Tools Used