GitHub
code-quality
Fix lint errors, format code, run type checking, check code quality. Use when fixing linting issues, formatting Python, running ruff, running ty, checking TypeScript types, or ensuring code quality.
Résultats pour « Python »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: DevOps
Explorer
GitHub
comment-detailed
Pythonファイルの挙動を理解するために、挙動を変えずに解説コメントとdocstringを追加する。ユーザーが「XXX.pyについて、動作を理解したいから細かくコメント入れて」「挙動は変えずにコメントを足して」「このPythonファイ...
GitHub
grafix-draw-export
Grafix の `draw(t)` スケッチを生成・改良し、`python -m grafix export` で PNG を複数枚 headless 出力して比較するための手順。ユーザーが「Grafix の draw を作って」「PNG を書き出して」「候補を複数出して比較したい」...
GitHub
binary-parsing-mixed-endian
Parsing binary files with mixed endianness and variable-length records in Python.
GitHub
senior-data-engineer
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data mode...
GitHub
senior-architect
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes archi...
GitHub
senior-backend
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implement...
GitHub
code-implementation-guardrail
Guide implementation of production-ready Python RAG components by enforcing correct abstractions, error handling, observability, and safety at coding time.
GitHub
architecture-review
Review an existing Python RAG codebase against an explicit RAG architecture document and produce a production-readiness backlog with priorities, rationale, and execution guidance.
GitHub
maverick-python-security
Python security patterns and OWASP vulnerability detection
GitHub
maverick-python-typing
Python type hints, mypy, Protocol, and static typing best practices
GitHub
maverick-python-async
Python async/await patterns and asyncio best practices
GitHub
tui-debugger
Debug TUI (Text User Interface) applications through visual observation and semantic inspection. Use when: (1) debugging rendering issues in terminal UIs, (2) troubleshooting widget behavior or key bindings, (3...
GitHub
maverick-python-peps
Python Enhancement Proposals (PEPs) and style guidelines
GitHub
maverick-python-performance
Python performance optimization and profiling
GitHub
maverick-python-testing
Python testing best practices with pytest, unittest, and mocking
GitHub
python-development
Modern Python coding standards, best practices, testing patterns, and implementation guidelines
GitHub
python-architecture
Python system design patterns, project structure, and scalable architecture guidelines
GitHub
python-review
Python code security analysis, performance optimization, and maintainability assessment
GitHub
python-verification
Replaces the task of serving as a quality gate to guarantee Python code quality through static analysis and testing. Typical use cases: (1) Confirming type safety (Mypy) and style checks (Ruff) during new featu...
GitHub
tdd-python-drafting
Replaces the creation of test code based on specifications and the minimal implementation to pass them (Red/Green) in Python projects. Typical use cases: (1) Creating failing tests (Red) based on API or logic s...
GitHub
tdd-python-refactoring
Replaces the refactoring work of improving quality and maintainability of passed Python code without changing behavior. Typical use cases: (1) Enhancing type safety by eliminating Any types and tightening type...
GitHub
flask-api-debugger
Debuggt Python Flask API Server, findet Endpoint-Fehler, CORS-Probleme
GitHub
python-refactor
Systematic code refactoring skill that transforms complex, hard-to-understand code into clear, well-documented, maintainable code while preserving correctness. Use when users request "readable", "maintainable",...
Catégories populaires
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.