code-quality
Maintain Python code quality using Black formatting, Ruff linting, and mypy type checking. Use when formatting code, running linters, fixing style issues, or adding type hints.
Skills matching the name, description or GitHub author.
Maintain Python code quality using Black formatting, Ruff linting, and mypy type checking. Use when formatting code, running linters, fixing style issues, or adding type hints.
Use when writing Python code for clean, performant, and idiomatic implementations
Expert-level Python programming with PEP 8 standards and modern best practices. Use when writing Python code, debugging Python issues, explaining Python concepts, or reviewing Python code.
Set up pre-commit hooks and GitHub Actions workflows for testing, linting, security scanning, releases, and deployments. Supports Python, Node.js, Go, Rust, and multi-language projects.
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.
Use when working with Python code and pyright-lsp plugin is enabled - for finding references, checking types, navigating definitions, or verifying type correctness
Perform automated security analysis on code changes to identify common vulnerabilities including SQL injection, path traversal, hardcoded secrets, XSS, and insecure API usage. Reviews Python code for OWASP Top...
Perform automated static code analysis on modified files. Triggers automatically after code changes to catch common issues before QA Lead review. Checks for: code complexity, dead code, type errors, import issu...
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when revi...
Use when adding type hints, fixing type checker errors, working with Pydantic models. Triggers on "type", "types", "typing", "Pydantic", "BaseModel", "pyright", "basedpyright", "mypy", "type error", "type hint"...
Use when writing new code, implementing features, or refactoring. Triggers on "pattern", "reuse", "duplicate", "extract", "helper", "refactor", "architecture", "DRY", "don't repeat yourself", "abstract", "reusa...
Code review best practices for Python projects. Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor...
Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor", "egregious", "cross-file", "duplicate", "dupl...
Pattern discovery and code reuse for Python projects. Use when writing new code, implementing features, or refactoring. Triggers on "pattern", "reuse", "duplicate", "extract", "helper", "refactor", "architectur...
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 reco...
Sets up professional Python library projects with modern tooling (pyproject.toml, uv, ruff, pytest, pre-commit, GitHub Actions). Use when creating new Python libraries, modernizing existing projects to pyprojec...
Improves Python library code quality through ruff linting, mypy type checking, Pythonic idioms, and refactoring. Use when reviewing code for quality issues, adding type hints, configuring static analysis tools,...
Run, test, and lint Python projects
Runs configured type checkers (pyrefly, mypy) on files after editing. MUST USE when validating Python type safety (Internal-only passive hook).
Simplify overly complex Python code. Use when user asks to simplify, refactor, clean up, make more readable, reduce complexity, improve code quality, find code smells, detect duplicates, or analyze coupling in...
Identify and prioritize technical debt in Python codebases. Use when the user asks to find tech debt, analyze code quality, identify what needs refactoring, find security issues, check test coverage gaps, revie...
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll examine your current tests, configurations, and dependencies before suggesting changes. Use...
Pythonコードのリンタ、フォーマッタ、コードレビュー。Pythonファイル(.py)を編集・作成・修正した後に必ず実行する。ruffによる品質チェックとフォーマット、さらにコードレビューを行い問題があれば修正する。
Automated code quality assistant that formats code, fixes syntax/type errors, detects bugs, and validates fixes across Python, JavaScript, TypeScript, Java, Go, and Rust
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.