В каталоге 183 730 навыков в 14 категориях.
Use when building or publishing Python packages with uv, including dist artifacts and pre-publish checks.
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. T...
Pythonic 惯用法、PEP 8 标准、类型提示以及构建稳健、高效且可维护的 Python 应用程序的最佳实践。
Team conventions for Python development — credentials, API clients, LLM response parsing, testing patterns, and data pip...
Python-specific design patterns and best practices including protocols, dataclasses, context managers, decorators, async...
Python development patterns including package manager detection (uv, poetry, pip), project structure, and idiomatic Pyth...
Pythonic idioms, PEP 8 standards, type hints, pytest testing strategies, TDD methodology, and best practices for buildin...
Provides idiomatic modern Python (3.11+) patterns covering type hints, dataclasses and pydantic at boundaries, pathlib,...
Use when creating Python projects, choosing concurrency models, optimizing performance, or managing dependencies with uv...
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python...
Padrões Pythonicos, PEP 8, type hints, dataclasses, decorators, context managers, geradores, concorrência e tooling para...
Guides idiomatic Python design and resource handling. Use when refactoring Python modules, adding type hints, or choosin...
Patterns for using Peewee ORM with DatabaseProxy and scoped connections/transactions. Use when setting up DatabaseProxy,...
Use this skill when writing Python code following PEP 8 and modern Python best practices. Provides comprehensive guidanc...
Profile and optimize Python code using cProfile, memory profilers, andperformance best practices.Triggers: profiling, op...
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging sl...
Low-risk Python performance optimization patterns with verified speedups
Python data processing pipelines with modular architecture. Use when building content processing workflows, implementing...
6-phase read-only analysis workflow for Python code in markdown documents.Detects design principle violations, code smel...
Run and test Python code in a dedicated playground directory. Use when you need to execute Python scripts, test code sni...
Comprehensive plotting and visualization in Python - matplotlib (static publication-quality plots), seaborn (statistical...
Create and manipulate PowerPoint presentations programmatically. Build slide decks with layouts, shapes, charts, tables,...
Generate complete Python scripts that build polished PowerPoint decks with python-pptx and real slide content.
Generate Jupyter notebook practice challenges for Python. Use when the user wants practice problems, coding exercises, s...
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. E...
Use when building Python 3.11+ applications requiring type safety, async programming, or production-grade patterns. Invo...
Modern Python 3.12+ development with cutting-edge tools and practices. Use when writing production Python code, implemen...
Use when writing or reviewing Python 3.12+ codebases; Implementing async workflows or performance optimizations
Step-by-step guidance for python pro.
Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generate...
You are a Python expert specializing in modern Python 3.12+ development with cutting-edge tools and practices from the 2...
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance,...
Expert Python developer specializing in Python 3.11+ features, type annotations, and async programming patterns. This ag...
Python performance profiling with cProfile, tracemalloc, and line_profiler. Use for identifying bottlenecks and memory i...
Python engineering skill for implementing, debugging, testing, packaging, typing, reviewing, and refactoring Python appl...
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, dat...
Use whenever working on a python project. Manage Python projects using uv package manager with modern Python project str...
Python project scaffolding and development with modern tooling. Use when creating new Python projects, setting up virtua...
Creates Python projects with proper structure, virtual environments, and dependency management. Use when users request t...
Read-only first troubleshooting workflow for Python project deployments, including systemd startup failures, dependency...
Initialize complete Python project with comprehensive documentation, development environment, and tooling. Use when crea...
Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata...
Python project setup guide. Use when creating a new Python project, configuring uv, setting up pyproject.toml, or bootst...
Sets up a new Python project with uv, virtual environment, and best practices for Windows 11. Use this when creating a n...
Python project organization, module architecture, and public API design. Use when setting up new projects, organizing mo...
Use for creating, reviewing, debugging, or modernizing Python project structure and deterministic tooling with pyproject...
Use when creating, editing or previewing Python Pulumi programs and their engine-specific tests. Use terraform-terraspac...
A skill that configures the agent to design, refactor, validate, and debug Pydantic v2 and v1 models, validators, and se...
Guide on using the Python pypdf library to read, write, and fill PDF forms programmatically.
Set up Python project for PyPI publishing with pyproject.toml, src layout, and build scripts. Use when creating a new Py...
Generate comprehensive pytest test files for Python using the test-generator-framework
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit...
Use this when authoring or reviewing any test under tests/, designing a new fixture and choosing its scope, wiring async...
Use pyupgrade to automatically upgrade Python syntax to newer versions. Activate when: (1) Migrating code from Python 2...
Python品質チェック。pytest/mypy/Black実行時に使用。「Pythonの品質チェック」「Pythonの静的解析」で起動。Do NOT use for Flask固有の品質チェック（→ flask-quality）。
PEP8、クリーンコード原則、Pythonのベストプラクティスに基づいてコード品質をチェック。Pythonプロジェクトでコード品質チェック、リント、フォーマットを依頼された時に使用。
Python quality checks: ruff, pytest, mypy, bandit in deterministic order.
Python-specific code review focusing on idiomatic patterns, type hints, async correctness, and Python best practices. Us...
Use when configuring or running Python quality tools (ruff, ty, pytest, coverage, CI gates) and when enforcing a pre-mer...
Python-to-R translation for data analysis. Maps Python (polars, plotnine, pyfixest, statsmodels, svy, geopandas) to R (t...
Audit Python RAG (Retrieval-Augmented Generation) pipelines for security, data leakage, prompt injection risks, and prod...
Python refactoring catalog with 83 patterns covering immutability, class design, control flow, architecture, OO metrics,...
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit...
Release engineering for Python projects on uv — static versioning in pyproject.toml exposed via importlib.metadata, buil...
Interactive Python REPL automation with common helpers and best practices
Quickly analyzes Python repositories to understand their purpose, structure, and setup requirements. Use when Claude nee...
Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Us...
Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file h...
Comprehensive Python code review for idiomatic patterns, async safety, type safety, and security
Review Python code for typing, packaging, async behavior, resource safety, tests, security, and maintainability.
Describe what this skill helps an agent do.
WHEN: General Python code review, PEP8 compliance, type hints, Pythonic patternsWHAT: PEP8/style check + Type hint valid...
Python robustness patterns including input validation, exception hierarchies, retry logic, timeouts, and fault-tolerant...
Ensure Python code follows industry standards using Ruff linter with linting-workflow framework
Use ruff to lint, format, and modernize Python code. Activate when: (1) Fixing PEP 8 violations, (2) Removing unused imp...
Python 프로젝트 실행, 테스트, 문법 검사, 임포트 검증을 위한 스킬. `scripts/python-runner.sh`를 사용합니다.
Use when building or reviewing service, job, or CLI runtime behavior in Python — designing startup validation, shutdown...
Add Python VS Code workspace config to a project. Composable — works standalone or merges into existing .vscode/ from a...
Guide for translating Python code to functional Scala style. Use when converting Python code involving numeric formattin...
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environm...
Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authen...
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dep...
Python SDK for inference.sh - run AI apps, build agents, and integrate with 150+ models. Package: inferencesh (pip insta...
Python SDK for inference.sh - run AI apps, build agents, and integrate with all models. Package: inferencesh (pip instal...
Use this when designing a new client class, reviewing a constructor with more than four parameters or a **kwargs signatu...
Complete Python Software Development Lifecycle - virtual environments, packaging (pip, poetry, uv), testing (pytest), ty...
Python Security Auditor
Python environment setup on your computer for Badger 2350 development. Use when installing Python, setting up virtual en...
Simplify overly complex Python code. Use when user asks to simplify, refactor, clean up, make more readable, reduce comp...
Simplify or refactor complex Python. Not Django.
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
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SQLAlchemy ORM patterns for Python database access. Use when defining models, writing queries, implementing upserts, wor...
Python implementation guidance for project structure, type safety, dependency management, testing, and operational corre...
Python code quality standards (PEP 8, type hints, docstrings). Use when writing Python code.
Python development standards for personal projects. Use when writing Python code, setting up new projects, configuring t...
Modern Python development with uv, ruff, mypy, and pytest. Use when: - Writing or reviewing Python code - Setting up Pyt...