refactor

Claude Code Commands Collection

A curated collection of Claude Code plugins to enhance your AI-assisted development workflow.

🚀 Available Plugins

🧹 Deslop - AI Code Cleanup

Detects and removes unnecessary additions in AI-generated code, helping maintain codebase consistency.

Use when: Reviewing AI-generated code for over-engineering or style inconsistencies

What it does:

• ✅ Removes excessive comments explaining obvious code
• ✅ Eliminates over-defensive error handling
• ✅ Identifies unnecessary abstractions
• ✅ Fixes style inconsistencies with existing code
• ✅ Enforces YAGNI/DRY/KISS principles

Installation:

/plugin install deslop@mei28/claude-code

Usage:

/deslop

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🔍 Dig - Requirements Clarification

Identifies ambiguities in requirements and architecture through structured questions before implementation begins.

Use when: Starting new features or when requirements are unclear

What it does:

• ✅ Reads project context files (CLAUDE.md, docs, etc.)
• ✅ Identifies ambiguities across 8 categories
• ✅ Generates specific questions with options
• ✅ Provides recommendations based on project standards
• ✅ Prevents wasted effort from unclear specifications

Categories analyzed:

• 🏗️ Architecture & Design
• 💾 Data & State Management
• 🔌 API & Integration
• 🎨 UI/UX & User Interface
• ✅ Testing & Quality
• 🔒 Security & Authorization
• ⚡ Performance & Scalability
• 🚀 Deployment & Operations

Installation:

/plugin install dig@mei28/claude-code

Usage:

/dig

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🤖 Auto Commit - Intelligent Git Commit Automation

Analyzes unstaged git changes and automatically creates well-structured, logically grouped commits with meaningful messages.

Use when: You have multiple unstaged changes that need organizing into logical commits

What it does:

• ✅ Analyzes all unstaged changes intelligently
• ✅ Groups related files logically
• ✅ Generates meaningful commit messages in English (default) or Japanese
• ✅ Follows Angular.js commit guidelines (feat, fix, docs, etc.)
• ✅ Creates individual commits automatically
• ✅ Handles pre-commit hooks and errors gracefully

Commit Prefixes:

• feat: New feature (feat: add authentication / feat: 認証機能を追加)
• fix: Bug fix (fix: resolve login error / fix: ログインエラーを修正)
• docs: Documentation
• style: Formatting
• refactor: Code restructuring
• perf: Performance
• test: Tests
• chore: Build/tools

Language: English by default, configurable to Japanese in CLAUDE.md

Installation:

/plugin install auto-commit@mei28/claude-code

Usage:

/commit

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📝 PR Template - Pull Request Description Generator

Generates comprehensive PR descriptions in English (default) or Japanese by analyzing GitHub pull requests using GitHub CLI.

Use when: After creating a GitHub PR to document changes thoroughly

What it does:

• ✅ Analyzes PR changes using GitHub CLI
• ✅ Reads files selectively for context
• ✅ Generates detailed PR descriptions (English default, Japanese optional)
• ✅ Follows established template format
• ✅ Saves template to .tmp/ directory

Template Sections:

• Overview (概要): Why, what, and how
• Changes/Additions (修正内容・追加内容): Detailed breakdown
• Testing/Verification (動作確認): Test scenarios
• Review Focus (レビュー観点): Security, performance, etc.
• Additional Notes (補足・参考): Libraries, metrics, future work

Installation:

/plugin install pr-template@mei28/claude-code

Usage:

/pr-template <PR_NUMBER>
/pr-template 123
/pr-template 123 in Japanese  # For Japanese output

Requirements:

• GitHub CLI (gh) installed and authenticated
• Optional: Configure language in CLAUDE.md

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🔍 Code Review - Automated Code Quality Analysis

Performs comprehensive automated code quality analysis, detecting bugs, security vulnerabilities, and suggesting improvements.

Use when: Before creating a pull request to ensure high code quality

What it does:

• ✅ Analyzes code across 6 dimensions (quality, bugs, security, performance, best practices, accessibility)
• ✅ Detects security vulnerabilities (SQL injection, XSS, authentication issues)
• ✅ Identifies performance problems (N+1 queries, inefficient algorithms, memory leaks)
• ✅ Checks best practices (error handling, logging, testing)
• ✅ Prioritizes findings by severity (Critical, High, Medium, Low)
• ✅ Provides code examples with fixes

Categories:

• 💎 Code Quality: Complexity, naming, structure
• 🐛 Bug Detection: Null pointers, type errors, race conditions
• 🔒 Security: Injection attacks, data exposure
• ⚡ Performance: Inefficient code, blocking operations
• ✅ Best Practices: Error handling, documentation
• ♿ Accessibility: ARIA, semantic HTML

Installation:

/plugin install code-review@mei28/claude-code