# Conversation Analyzer

Analyzes your Claude Code conversation history to identify patterns, common mistakes...

- Repository: https://github.com/mhattingpete/claude-skills-marketplace (689 stars)
- Category: AI and agents
- License: Apache-2.0
- Last updated: 2026-07-25
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add mhattingpete/claude-skills-marketplace --skill conversation-analyzer -g -a claude-code -y`
Codex: `npx skills add mhattingpete/claude-skills-marketplace --skill conversation-analyzer -g -a codex -y`
Cursor: `npx skills add mhattingpete/claude-skills-marketplace --skill conversation-analyzer -g -a cursor -y`
Gemini CLI: `npx skills add mhattingpete/claude-skills-marketplace --skill conversation-analyzer -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add mhattingpete/claude-skills-marketplace`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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

The rest: https://github.com/mhattingpete/claude-skills-marketplace/blob/HEAD/productivity-skills-plugin/skills/conversation-analyzer/SKILL.md