Find the perfect capability for your agent.
Detect and clean redundant code in Python and TypeScript projects. Finds unused imports, dead functions, stale comments, debug statements, and unused dependencies. Use when asked to "clean code", "find dead code", "remove unused imports", "check redundant code", or "清理代码".
Use when working with Python code and pyright-lsp plugin is enabled - for finding references, checking types, navigating definitions, or verifying type correctness
코드 컨벤션, 코딩 스타일, 코드 스타일, 네이밍, 컨벤션 - Always apply when writing code. Code style, naming rules, function/file size limits for TypeScript, Python, and Java.
Audits Python dependencies for security vulnerabilities, outdated versions, and best practices
Python 3.12+ coding standards and conventions (source of truth). Use when working on Python projects, implementing features, or reviewing code for standards compliance.
This skill should be used when conducting comprehensive code reviews and codebase audits. Invoke when the user requests to review code quality, security vulnerabilities, performance issues, or best practices across entire codebases, directories, or specific files. Typical requests include "Review the codebase in ./src", "Audit this project for security issues", or "Review all Python files for quality".
Best practices for writing high quality production grade Python code
Python code style and type hinting patterns. Use when writing or reviewing Python code to ensure consistent, modern type annotations, clean code structure, and proper separation of concerns. Covers modern type hints, import organization, router-service separation, comment practices, and docstring conventions.
Use when doing a quick preflight to assess scope, risks, and priorities for Python research code refactoring.
Scan entire Python project directories and review all .py files for Clean Code principles. Use when the user requests project-wide code review with /review-project command, wants to analyze multiple files, or needs to identify which files need refactoring most. Requires MCP tools list_directory and read_file.
This skill should be used when detecting and fixing color contrast issues in the codebase. It finds dark text on dark backgrounds and light text on light backgrounds, then provides fixes to ensure proper readability. Uses an automated Python script for detection and provides Tailwind-specific fix recommendations.
Conducts comprehensive backend code reviews including API design (REST/GraphQL/gRPC), database patterns, authentication/authorization, caching strategies, message queues, microservices architecture, security vulnerabilities, and performance optimization for Node.js, Python, Java, Go, and C#. Produces detailed review reports with specific issues, severity ratings, and actionable recommendations. Use when reviewing server-side code, analyzing API implementations, checking database queries, validating authentication flows, assessing microservices architecture, or when users mention "review backend code", "check API design", "analyze server code", "validate database patterns", "security audit", "performance review", or "backend code quality".
Load when reviewing code, writing code examples, or ensuring code quality. Contains coding standards for Python, JavaScript, SQL, and general best practices for publication-quality code.
Python development best practices, patterns, and conventions. Use when writing Python code, reviewing .py files, discussing pytest, asyncio, type hints, pydantic, dataclasses, or Python project structure. Triggers on mentions of Python, pytest, mypy, ruff, black, FastAPI, Django, Flask.
WHEN: General Python code review, PEP8 compliance, type hints, Pythonic patterns WHAT: PEP8/style check + Type hint validation + Pythonic idioms + Error handling + Documentation WHEN NOT: FastAPI → fastapi-reviewer, Django → django-reviewer, Data science → python-data-reviewer
Python best practices and patterns. Use when writing, reviewing, or debugging Python code. Provides PEP 8 guidance, type hints, testing with pytest, and async patterns.
Python coding style guide and best practices. Use when writing Python code, reviewing Python files, or checking code style. Triggers on "python style", "python code", "파이썬 스타일", "코드 스타일".
Write clean, consistent code following established naming conventions, formatting rules, and the DRY principle across all files. Use this skill when writing any code in any file, naming variables and functions, structuring code logic, formatting code with consistent indentation, choosing descriptive names that reveal intent, keeping functions small and focused, removing dead code and unused imports, extracting common logic into reusable functions, maintaining consistent code style across the codebase, configuring linters and formatters, or refactoring code for better readability. Apply this skill universally across all coding tasks to ensure code quality, maintainability, and consistency with project standards. This skill should be active for all file types including TypeScript, JavaScript, Python, Ruby, Java, Go, and other programming languages.
Ensures Python code quality through static analysis (Ruff, Mypy) and efficient testing workflows (Pytest). Used (1) during new feature development to catch logic errors early, (2) before committing bug fixes to prevent regressions, and (3) as a final quality gate before creating a pull request.
