“Python”

Write, edit, or refactor Python source code, including APIs, lifecycle clarity, contracts, tests, docstrings, package structure, and project-local Python…

Python development conventions including code style, testing, packaging, and best practices for this workspace.

ALWAYS load alongside the python-project skill for any new or existing Python project.

Writes or updates Python source, tests, and code examples in the user's concise, explicit style.

Universal guidelines, patterns, and best practices for Python development.

Python and shell-script conventions for CAST projects.

How to add and run tests in a Python project with pytest, and what a good test looks like here.

Specialist subagent: Python best practices, type hints, async patterns, and ecosystem expertise.

Create, review, or modernize Python applications and backend services using current typing, packaging, testing, linting, async, and dependency practices while…

Develop AI-powered applications using Genkit in Python.

Creates a durable AI agent app in Python with the Dapr Agents SDK or a Diagrid framework wrapper, run locally with dapr run.

Estilo e boas práticas ao implementar ou refatorar módulos em Python

Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JIT compilation, vectorization, and…

How to write and run Python tests, then fix failures.

Estilo e boas práticas ao implementar projetos em Python

Python 编程相关技能集合

Audit an existing Python codebase for idiom, design, typing, public APIs, structure/imports, error handling, resource handling, tests, and correctness…

Skill for the Tester Node to validate Python code via pytest subprocess (deterministic, no LLM).

Creates a Dapr workflow app in Python, run locally with dapr run.

Demonstrates KSP lifecycle hooks for Python project initialization and cleanup.

Write, save, and execute Python scripts.

Python code editing and codemod workflow.

Build the Python Logic Core of the Discovery Engine (MT5 Bridge & Stacking Logic)

Python implementation rules for module layout, typing posture, validation boundaries, errors, and logging.