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Found 2,126 Skills
cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
Write, edit, refactor, or review Python in easy-cheese with concise stdlib-first code, Python 3.12, self-contained .pyz packaging, and repository test and validation conventions. Use for Python changes under src/, shared/scripts/, scripts/, .github/scripts/, or tests/, especially when the user asks for Pythonic, succinct, de-slopped, dataclass-based, CLI, validator, or bundled-helper code.
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use PROACTIVELY for Python development, optimization, or advanced Python patterns.
Quick reference mapping global architecture concepts to Python/FastAPI/SQLAlchemy syntax. For concepts, see the global skills.
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.
Enforce Pythonic standards using Black, Isort, and Flake8. Use to ensure consistency across large Python codebases and team environments.
Python single-file script development using uv and PEP 723 inline metadata. Prevents invalid patterns like [tool.uv.metadata]. Use when creating standalone Python utilities, converting scripts to uv format, managing script dependencies, implementing script testing, or establishing team standards for script development.
Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
Core Python development concepts, idioms, best practices, and language features. Covers Python 3.10+ features, type hints, async/await, and Pythonic patterns. For running scripts, see uv-run. For project setup, see uv-project-management. Use when user mentions Python, type hints, async Python, decorators, context managers, or writing Pythonic code.
Python tooling conventions. Use when working on .py files, pyproject.toml, or Python projects. Enforce uv for package management, ty for type checking. NOT for JavaScript/TypeScript projects or shell scripts.
Modern Python 3.12+ patterns your AI agent should use. Type hints, async/await, Pydantic v2, uv, match statements, and project structure.