按技能名称、说明或 GitHub 作者匹配的结果。
Code quality validation through linting, type checking, and build verification. Multi-language support for automated quality gates. Use when validating code quality: - After implementation to validate code mee...
Code quality validation through linting, type checking, and build verification. Multi-language support for automated quality gates. Use when validating code quality: - After implementation to validate code mee...
Code quality validation through linting, type checking, and build verification. Multi-language support for automated quality gates. Use when validating code quality: - After implementation to validate code mee...
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.
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...
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」...
Parsing binary files with mixed endianness and variable-length records in Python.
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...
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...
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...
Guide implementation of production-ready Python RAG components by enforcing correct abstractions, error handling, observability, and safety at coding time.
Review an existing Python RAG codebase against an explicit RAG architecture document and produce a production-readiness backlog with priorities, rationale, and execution guidance.
Python security patterns and OWASP vulnerability detection
Python type hints, mypy, Protocol, and static typing best practices
Python async/await patterns and asyncio best practices
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...
Python Enhancement Proposals (PEPs) and style guidelines
Python performance optimization and profiling
Python testing best practices with pytest, unittest, and mocking
Load when editing test_*, *.test.*, or *_test.py files, or working with pytest/jest frameworks. Provides testing patterns for Python and TypeScript projects.
Modern Python coding standards, best practices, testing patterns, and implementation guidelines
Python system design patterns, project structure, and scalable architecture guidelines
Python code security analysis, performance optimization, and maintainability assessment
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...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。