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Found 1,261 Skills
Multi-dimensional code review with structured reports. Analyzes correctness, readability, performance, security, testing, and architecture. Triggers on "review code", "code review", "审查代码", "代码审查".
Comprehensive verification workflow before merging changes to production.
Simplify and refactor code for clarity, consistency, and maintainability while preserving exact behavior. Use when code was just added or modified and needs readability-focused cleanup without changing outputs, side effects, or external interfaces.
This skill should be used when the user asks to "roast my code", "review code brutally", "find code sins", "what's wrong with my code", "shame my code", "critique this code", "find antipatterns", "code quality roast", or wants entertaining but actionable code criticism with severity-ranked fixes. Delivers brutally honest roasts with file:line citations and redemption paths.
Universal code quality rules. Extends nothing — this is the base skill every project should include. Use when writing or reviewing any code.
This skill should be used when the user asks to "configure ls-lint", "set up filename linting", "enforce naming conventions", "create .ls-lint.yml", "lint file names", "lint directory names", "file naming rules", "directory structure linting", or mentions ls-lint, directory naming rules, or filename conventions.
This skill should be used when the user asks to "polish code", "simplify and review", "clean up and review code", "full code polish", "simplify then review", "refactor and review", "simplify and fix", "clean up and fix", or wants a combined simplification and review workflow on recently changed code.
Rust best practices and code quality guidelines for writing idiomatic, safe, and performant Rust code. This skill should be used when writing, reviewing, or refactoring Rust code. Triggers on tasks involving Rust programming, code review, error handling, type safety, or performance optimization.
Validate Python code quality with formatting, type checking, linting, and security analysis. Use for Python codebases to ensure PEP 8 compliance, type safety, and code quality.
Apply and validate SOLID principles in object-oriented design
Detects and safely removes unused code (imports, functions, classes) across multiple languages. Use after refactoring, when removing features, or before production deployment. Includes safety checks and validation.
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.