claude-code-analyzer

---
name: claude-code-analyzer
description: Analyzes Claude Code usage patterns and provides comprehensive recommendations. Runs usage analysis, discovers GitHub community resources, suggests CLAUDE.md improvements, and fetches latest docs on-demand. Use when user wants to optimize their Claude Code workflow, create configurations (agents/skills/commands), or set up project documentation.
---

# Claude Code History Analyzer

Complete workflow optimization for Claude Code through usage analysis, community discovery, and intelligent configuration generation.

## Core Capabilities

This skill provides a complete Claude Code optimization workflow:

**1. Usage Analysis** - Extracts patterns from Claude Code history
- Tool usage frequency
- Auto-allowed tools vs actual usage
- Model distribution
- Project activity levels

**2. GitHub Discovery** - Finds community resources automatically
- Skills matching your tools
- Agents for your workflows  
- Slash commands for common operations
- CLAUDE.md examples from similar projects

**3. Project Analysis** - Detects tech stack and suggests documentation
- Package manager and scripts
- Framework and testing setup
- Docker, CI/CD, TypeScript configuration
- Project-specific CLAUDE.md sections

**4. On-Demand Documentation** - Fetches latest Claude Code docs
- Agents/subagents structure and configuration
- Skills architecture and bundled resources
- Slash commands with MCP integration
- CLAUDE.md best practices from Anthropic teams
- Settings and environment variables

## Complete Analysis Workflow

When user asks to optimize their Claude Code setup, follow this workflow:

### Step 1: Run Usage Analysis
```bash
bash scripts/analyze.sh --current-project
```

This automatically:
- Extracts tool usage from JSONL files
- Checks auto-allowed tools configuration
- Analyzes model distribution
- **Searches GitHub for community resources** (always enabled)

### Step 2: Run Project Analysis
```bash
bash scripts/analyze-claude-md.sh
```

This detects:
- Package manager (npm, pnpm, yarn, cargo, go, python)
- Framework (Next.js, React, Django, FastAPI, etc.)
- Testing setup (Vitest, Jest, pytest, etc.)
- CI/CD, Docker, TypeScript, linting configuration

### Step 3: Interpret Combined Results

Combine insights from both analyses:

**Usage patterns** show:
- Tools used frequently but requiring approval → Add to auto-allows
- Auto-allowed tools never used → Remove from config
- Repetitive bash commands → Create slash commands
- Complex workflows → Create dedicated agents
- Domain-specific tasks → Build custom skills

**GitHub discovery

预览已截断。下载完整技能包可查看全部文件内容。