Total 50,402 skills, Code Quality has 2287 skills
Showing 12 of 2287 skills
Review code for bugs, security vulnerabilities, performance issues, and maintainability. Trigger with "review this code", "check this PR", "look at this diff", "is this code safe?", or when the user shares code and asks for feedback.
Review and refactor code in your project according to defined instructions
Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.
Generates a comprehensive and best-practice-oriented .editorconfig file based on project analysis and user preferences.
Auto-fix CodeRabbit review comments - get CodeRabbit review comments from GitHub and fix them interactively or in batch
PRの変更内容をトリアージし、変更カテゴリ分類・表層チェック・必要リファレンス判定を行います。結果を`.pr-triage.json`に出力し、後続のコードレビューフェーズで活用します。CI環境でのコスト最適化に使用してください。
Guidelines that help developers design maintainable, scalable, reusable, and loosely coupled software systems. Use when the user asks about design principles, clean code, refactoring, code structure, SOLID, DRY, dependencies, or maintaining software systems.
Review code for AEM Edge Delivery Services projects. Use at the end of development (before PR) for self-review, or to review pull requests. Validates code quality, performance, accessibility, and adherence to EDS best practices.
Audit project dependencies for risk when the user asks to check dependencies, audit packages, review dependency health, check for vulnerabilities, or assess supply chain risk
Maintain high code quality through formatting, linting, and static analysis. Use code-quality skill and scripts for rustfmt, clippy, or cargo audit.
Cross-stack source code asset audit — classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.