Systematic code review workflows with bundled utilities for analyzing code quality, detecting patterns, and providing structured feedback. Use this skill when reviewing pull requests or conducting code audits.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Systematic code review workflows with bundled utilities for analyzing code quality, detecting patterns, and providing structured feedback. Use this skill when reviewing pull requests or conducting code audits.
In-depth code review for large PRs (>500 lines). Full analysis including architecture, performance, security, and maintainability.
Activate senior code reviewer mode. Delivers thorough, constructive, and actionable code review feedback. Use when reviewing pull requests, analyzing code quality, or providing feedback on implementations.
Use this skill when conducting or improving code reviews. Provides structured review processes, conventional comments patterns, language-specific checklists, and feedback templates. Ensures consistent, constructive, and thorough code reviews across teams.
Provides practical guidance for conducting thorough code reviews that identify issues early, promote knowledge sharing, and deliver constructive feedback. This skill should be used when reviewing pull requests, establishing team review standards, or mentoring developers on effective review practices.
Comprehensive code review covering security vulnerabilities, performance bottlenecks, best practices, and refactoring opportunities. Use when user requests code review, security audit, or performance analysis.
Rust-specific code review guidelines focusing on error handling, safety, and idiomatic patterns
Comprehensive code review and analysis. AUTO-TRIGGERS when user asks to review, refactor, debug, critique, or analyze code.
Comprehensive code review standards covering security, quality, performance, testing, and documentation. Includes checklists, common issues, and best practices for thorough code reviews.
PR review, code smell detection, best practice kontrolü. ⚠️ Kod incelerken kullan. Deliverable kontrolü için → quality-validator, doküman review için → peer-review.
Comprehensive code review skill for Wasp applications. Use when reviewing code, PRs, or architectural changes. Covers Wasp-specific patterns, import rules, auth checks, TDD compliance, multi-tenant permissions, and performance. Integrates all CLAUDE.md critical rules.
Provides thorough code review with actionable feedback
Use when reviewing code for quality, design issues, implementation problems, security vulnerabilities, or architectural concerns. Apply when user asks to review code, check implementation, find issues, or audit code quality. Use proactively after implementation is complete. Also use to provide feedback to system-architect and principal-engineer on design and implementation decisions.
Expert at quality-focused code review with security emphasis. Use when reviewing code changes, performing security audits, identifying bugs, ensuring code quality and maintainability, or analyzing pull requests for issues.
Provides quantitative rubrics and criteria for scoring code quality on a 1-10 scale. Use when reviewing code, performing code audits, establishing quality baselines, comparing implementations, or providing objective code feedback.
Token-efficient codebase exploration using MCP-first approach. Locates functions, classes, patterns, and traces dependencies with 80-90% token savings. Use when searching code, finding implementations, or tracing call chains.
Performs comprehensive security code reviews to identify vulnerabilities, assess security risks, and provide actionable remediation guidance. Covers OWASP Top 10, CWE classifications, compliance requi
Build and share code, tools, and demos
Review TypeScript + Vue code for maintainability issues. Use when checking code quality, architectural problems, type safety, or Vue best practices. Identifies technical debt in components, types, and reactive data handling.
code-smell-detector
Generate and maintain coding standards documentation from existing codebase patterns. Use when creating STANDARDS.md files, onboarding new developers, or documenting team conventions. Evidence-based approach - standards reflect reality, not aspirations.
Automatically check code against coding standards and style guides.
Deep codebase analysis to discover actual coding standards through statistical evidence. Use when analyzing naming conventions, import patterns, or detecting anti-patterns in existing code. Provides evidence-based detection of how the codebase actually works (not aspirations).
Extract coding best practices from PR review comments and codebase analysis to generate `.claude/best-practices/` documentation.
Narrative templates for git history documentation. Used by /git:code-story command.
Extract file structure (functions, classes, exports) efficiently without reading entire files, using ast-grep, go doc, ctags, or other language-specific tools to get outlines and signatures
PHP coding standards and WordPress patterns for ActivityPub plugin. Use when writing PHP code, creating classes, implementing WordPress hooks, or structuring plugin files.
Analyzes code for style consistency and applies project-specific formatting conventions beyond what linters catch. Use when reviewing code, ensuring style consistency, or when user requests code style improvements.
代码风格规范 / Code style conventions。在编写、编辑、评审 Python 代码时使用。包括类型注解、Decimal 精度、Docstring、模块组织等规范。Use when writing, editing, or reviewing Python code. Enforces type hints, Decimal precision, docstrings, and module organization.
Build template substitution and conditional logic.
Maintain and organize a curated library of code templates, boilerplate, and scaffolds for rapid project initialization
Advanced code testing and review expert system that provides comprehensive code quality analysis, security vulnerability assessment, test strategy design, and quality assurance through multi-expert collaboration and intelligent tool integration.
QA engineer and test automation specialist with deep expertise in Flutter testing. Use for designing test strategies, writing unit/widget/integration tests, improving test coverage, and ensuring code reliability.
Generate and run comprehensive unit and integration tests following TDD principles with proper fixtures, mocking, and coverage measurement.
Tools, patterns, and utilities for creating music with code. Output as a .mp3 file with realistic instrument sounds. Write custom compositions to bring creativity to life through music. This skill should be used whenever the user asks for music to be created. Never use this skill for replicating songs, beats, riffs, or other sensitive works. The skill is not suitable for vocal/lyrical music, audio mixing/mastering (reverb, EQ, compression), real-time MIDI playback, or professional studio recording quality.
Transfer code between files with line-based precision. Use when users request copying code from one location to another, moving functions or classes between files, extracting code blocks, or inserting code at specific line numbers.
name: code-translation
code-validation-sandbox
Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.
code-visualizer
Write and generate code using memex-cli with Codex backend. Use when (1) Generating code files and scripts, (2) Refactoring existing code, (3) Writing tests, (4) Creating project scaffolds, (5) Implementing algorithms or features, (6) Code review and optimization, (7) Complex multi-file projects.
Find what-is-where in the Raamattu Nyt monorepo.
Fase 3 - Implementation Protocol. Le Spec.md, solicita arquivos originais, aplica mudancas CIRURGICAS linha por linha, valida multi-tenant, testa e documenta. Preserva logica, zero improviso.
Execute codeagent-wrapper commands with pluggable AI backends (Codex, Claude, Gemini). Supports file references via `@` syntax, parallel task execution with backend selection, and configurable securit
Analyzes a codebase to generate comprehensive architectural documentation including technologies used, data flows, functional components, APIs, external dependencies, commit history analysis, and complexity hotspots.
Execute a structured 4-phase codebase analysis workflow to gather insights.
Analyze implementation details, trace data flow, and explain technical workings with precise file:line references. Use when you need to understand HOW code works.
Analyze and reorganize project file structures, identify dependencies, clean technical debt, and establish architectural patterns. Use when users need to: organize messy codebases, understand file dependencies and import chains, refactor folder hierarchies, identify unused files or circular dependencies, detect cross-file connections, or establish consistent naming conventions and module boundaries for any programming language project.
Analyze a GitHub codebase to create comprehensive architecture documentation including ASCII diagrams, component relationships, data flow, hosting infrastructure, and file structure assessment.
This skill helps AI agents track assumptions they made about the codebase that turned out to be incorrect. The goal is to identify documentation gaps and create better onboarding context for future AI