Find the perfect capability for your agent.
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Maintain code quality with Ruff for Python and ESLint/TypeScript for frontend. Run linters, fix issues, and ensure consistent formatting. Use when linting code, fixing style issues, or preparing to commit.
Python code style and type hinting patterns. Use when writing or reviewing Python code to ensure consistent, modern type annotations and clean code structure. Covers modern type hints, import organization, comment practices, and docstring conventions.
Configura linting automático com pre-commit hooks e CI/CD para projetos Python
Compact Python style guide. Key conventions for clean, typed, documented code.
Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.
代码风格规范 / Code style conventions。在编写、编辑、评审 Python 代码时使用。包括类型注解、Decimal 精度、Docstring、模块组织等规范。Use when writing, editing, or reviewing Python code. Enforces type hints, Decimal precision, docstrings, and module organization.
코드 리뷰 전문 skill. TypeScript, JavaScript, Python, Swift, Kotlin, Go 지원. 정적 분석, 베스트 프랙티스 검사, 보안 스캔, 리뷰 체크리스트 생성. 사용 시기: (1) PR 리뷰 시 (2) 코드 품질 피드백 시 (3) 보안 취약점 식별 시 (4) 코드 표준 검사 시 (project)
Comprehensive reference guide for Python type hints, static type checking with mypy, modern type annotation patterns (PEP 484, 585, 604, 612, 613), and type hint best practices for Python 3.9+. Use during code reviews to ensure proper type annotation usage, evaluate mypy configuration, and identify type hint anti-patterns.
6-phase read-only analysis workflow for Python code in markdown documents. Detects design principle violations, code smells, and suggests modern Python improvements. Applies project-type-aware thresholds (POC, MVP, Private, Enterprise, Open Source). Processes one or more documents, generating per-document analysis with summary.
Expert in systematic code refactoring, smell detection, and structural optimization for ANY language (C++, Python, JS, Go, C#).
Review Python code changes in merge requests and pull requests. Use when asked to review Python code, MR/PR reviews, code quality checks, or when phrases like "review this code", "check this PR", "review my changes", "review mr on this branch", "review MR", "review PR", "PR reivew", "MR review" or "code review" are mentioned for Python files.
Python coding standards including line length (80 chars), naming conventions (snake_case, PascalCase), type hints, docstrings, exception handling, and logging patterns. Run python-code-quality script for automated checks (ruff + pyright + security). Use when writing new Python code or reviewing code quality.
Review code for Clean Code principles focusing on meaningful variable names, function length, and redundant comments. Use when the user requests code review with /review-code command, asks to check code quality, or wants to ensure code follows Clean Code principles. Supports JavaScript, Python, and Java with language-specific rules.
Run analyzer MCP tools (Ruff + optional dead-code scan) as a quality gate before QA/UAT/release.
Perform code reviews following Python best practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
Python stack configuration - uv, ruff, mypy, pytest with 96% coverage threshold
