Total 50,306 skills, Code Quality has 2284 skills
Showing 12 of 2284 skills
Configure Prettier for code formatting and TypeScript for typechecking. Includes VSCode settings and EditorConfig for consistent code style. Skips ESLint/Biome to avoid config complexity.
Guide AI agents through TypeScript coding best practices including type safety, error handling, code organization, and architecture patterns. This skill should be used when generating TypeScript code, reviewing TypeScript files, creating new TypeScript modules, refactoring JavaScript to TypeScript, or when the user asks about TypeScript patterns, types, or coding standards. Keywords: typescript, types, coding standards, best practices, type safety, generics, architecture, refactoring.
Use when symfony quality checks
Intelligent Code Debugging Assistant that helps you visualize how your code runs. When you say things like "I want to see why this function is so slow", "The code throws an error halfway through execution and I don't know where the problem is", or "This business logic is too complex and I can't figure out the execution order", I will help you trace the code execution path, identify slow-performing sections, and locate the root cause of errors. When skill optimization points are identified, I will ask if you want to call the skill-evolution-driver for optimization
Analyze Go function lengths within a workspace and generate statistics (p50, p90, p99). Use when you need to audit function complexity, identify long functions, or generate code metrics for Go projects. Only analyzes files matching **/*.go within the current workspace, excluding dependencies.
Python 开发规范，包含 PEP 8 风格、类型注解、异常处理、测试规范等
This skill should be used when making design decisions, evaluating trade-offs, assessing code quality, or when "engineering judgment" or "code quality" are mentioned.
Manage feature manifests for code traceability. Use when creating new features, updating existing features, checking feature health, or exploring the feature-to-code relationship. Activates for manifest validation, feature creation, changelog updates, and traceability queries.
Generate a visual spec-to-code coverage map showing which code files are covered by which specifications. Creates ASCII diagrams, reverse indexes, and coverage statistics. Use after implementation or during cleanup to validate spec coverage.
Use when writing, fixing, editing, reviewing, or refactoring any Python code. Enforces Robert Martin's complete Clean Code catalog—naming, functions, comments, DRY, and boundary conditions.
Codacy integration. Manage Repositories, Organizations. Use when the user wants to interact with Codacy data.
Use when implementing any code in recursive-mode Phase 3. Enforces strict RED-GREEN-REFACTOR discipline with The Iron Law - no production code without a failing test first. Trigger phrases: "implement this", "add feature", "fix bug", "write a failing test", "TDD".