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conversation-analyzer

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Analyzes your Claude Code conversation history to identify patterns, common mistakes, and opportunities for workflow improvement. Use when user wants to understand usage patterns, optimize workflow, identify automation opportunities, or check if they're following best practices.

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Marketplace

mhattingpete-claude-skills

mhattingpete/claude-skills-marketplace

Plugin

productivity-skills

Repository

mhattingpete/claude-skills-marketplace
264stars

productivity-skills-plugin/skills/conversation-analyzer/SKILL.md

Last Verified

January 23, 2026

Install Skill

Select agents to install to:

Scope:
npx add-skill https://github.com/mhattingpete/claude-skills-marketplace/blob/main/productivity-skills-plugin/skills/conversation-analyzer/SKILL.md -a claude-code --skill conversation-analyzer

Installation paths:

Claude
.claude/skills/conversation-analyzer/
Powered by add-skill CLI

Instructions

# 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

- **Read**: Load history file (`~/.claude/history.jsonl`)
- **Writ

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