185 skills · sorted by relevance
Review code for quality, simplicity, and maintainability. Identifies unnecessary abstractions, duplicated logic, oversized functions, missing error handling, and naming issues — then fixes them automatically before presenting the result.
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Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices.
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Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
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You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
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新実装が、同種の先行実装（同レイヤ・同責務・同概念）に在る防御 / バリデーション / エラー処理 / 規約 / 共通化ロジック / 概念定義を、欠落・重複・食い違いなく継承しているかを grep で先行特定して確認する
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Detects per-caller special-cases (bandaids) bolted onto shared infrastructure/common functions, and when two or more same-kind special-cases exist proposes generalizing the lower-level mechanism instead.
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AGENTS.md などの恒久ドキュメントに一過性のタスクログが混入していないか、SOP / decision / log / learned の役割が混同されていないか、公開物（README / docs / 記事）に内部メモ・ローカルパス・AI 会話断片が残っていないかを差分で検出する
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Review a repository change for correctness, security, and maintainability.
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Use this skill whenever the user asks to inspect, audit, review, assess, or evaluate a codebase/project for maintainability, extensibility, architecture, reliability, security, testing, engineering quality, or AI-agent/prompt/tooling risks. Also use this when invoked by `/inspect`. It performs a read-only, evidence-backed, multi-agent project inspection with complete file coverage, per-dimension scoring, blunt technical findings, and explicit degraded-mode disclosure.
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Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
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Applies principles from Robert C. Martin's 'Clean Code'. Use this skill when writing, reviewing, or refactoring code to ensure high quality, readability, and maintainability. Covers naming, functio...
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Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
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Deep code analysis covering security, performance, maintainability, and best practices
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two-stage review (spec compliance first, then code quality), refactoring, and quality improvement. Use when reviewing code, eliminating code smells, reducing technical debt, refactoring methods, running self-critique loops, or improving maintainability and readability.
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When building or refactoring React UI components to ensure reusability and maintainability.
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Comprehensively reviews SwiftUI code for best practices on modern APIs, maintainability, and performance. Use when reading, writing, or reviewing SwiftUI projects.
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Expert guidance for Swift Testing: test structure, #expect/#require macros, traits and tags, parameterized tests, test plans, parallel execution, async waiting patterns, and XCTest migration. Use when writing new Swift tests, modernizing XCTest suites, debugging flaky tests, or improving test quality and maintainability in Apple-platform or Swift server projects.
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Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
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Use when enforcing Axel's coding standards across any language for architecture, reuse, imports, and maintainability, plus React/Next.js-specific rules only where explicitly stated (for example useEffect and JSX handlers).
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Senior backend engineer specializing in scalable API development and microservices architecture. Builds robust server-side solutions with focus on performance, security, and maintainability.
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Expert code reviewer specializing in code quality, security vulnerabilities, and best practices across multiple languages. Masters static analysis, design patterns, and performance optimization with focus on maintainability and technical debt reduction.
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Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researching technologies, evaluating architectures, analyzing best practices, comparing solutions, assessing technical trade-offs, planning scalable/secure systems.
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Code refactoring strategies, technical debt reduction, architecture modernization, and code quality improvement. Use when refactoring code, modernizing legacy code, reducing complexity, or improving maintainability.
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Perform a thorough code review focused on correctness, maintainability, performance, and best practices.
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