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Neo python

Skill Benknightdark/neo-skills/skills/neo-python

Neo Skills 是專為現代 AI Agent 設計的全方位能力擴充套件。本專案透過標準化的通訊架構，為 AI 代理安裝可插拔的「技能模組 (Skills)」，使其不僅僅是一個聊天機器人，而是能轉化為具備「感知-推理-行動」能力的多領域專家。

Install
npx -y skills add Benknightdark/neo-skills --skill neo-python

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One thing to look at

  • 7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Use this skill when writing, reviewing, debugging, or architecting Python 3.10+ code, including type hints, structural pattern matching, dataclasses, async/task groups, packaging-aware project structure, testability, and maintainability.

SKILL.md

3.7 KB, as published. Nobody here has run it

Python 3.10+ Expert Skill

Trigger On

  • The user asks to write, debug, review, or refactor Python code.
  • Working in a repository containing *.py, pyproject.toml, requirements.txt, Pipfile, or poetry.lock.
  • Requires asynchronous programming (asyncio), type hinting, or modern Python feature recommendations.
  • The project needs setup for testing frameworks (pytest) or static analysis tools (ruff, mypy).

Workflow

  1. Perceive:
    • Inspect the project root to identify package management tools: pyproject.toml (Poetry/PDM/Ruff), requirements.txt (pip), or environment.yml (Conda).
    • Probe for Python version requirements (ensure compatibility with 3.10+ minimum).
    • Identify the application type: Web API (FastAPI, Flask, Django), Data Science (Pandas, PyTorch), or CLI tools.
  2. Reason:
    • Evaluate if the current code follows modern Python (3.10+) idioms (e.g., match/case, | union types).
    • Decide if type checking (MyPy/Pyright) or auto-formatting (Ruff/Black) needs to be introduced.
    • Recommend appropriate architectural patterns based on project scale.
  3. Act:
    • Write Python code with complete Type Hints, prioritizing the X | Y syntax.
    • Prefer modern language features: match statements (3.10+), TaskGroup (3.11+), and new generic syntax (3.12+).
    • Ensure code passes static analysis and unit tests.

Coding Standards

  • Type Hinting: Strongly recommended for all function signatures. Use 3.10+ union syntax like list[int | str].
  • PEP 8 Compliance: Follow official style guidelines. Recommended to use ruff as a linter and formatter for consistency.
  • Async Processing: Use 3.11+ asyncio.TaskGroup to manage concurrent tasks.
  • Error Handling: Use specific exception types and leverage 3.11+ ExceptionGroup and except* syntax.

Tooling Recommendations

  • Linter / Formatter: ruff (high performance and highly integrated).
  • Type Checker: mypy or pyright.
  • Testing: pytest with pytest-asyncio or pytest-cov.
  • Package Management: Poetry or uv to ensure dependency locking and environment consistency.

Deliver

  • Code Quality Report: Identify parts that do not comply with 3.10+ modern syntax or PEP 8.
  • Best Practice Recommendations: Provide specific refactoring suggestions, such as converting complex logic into match/case structures.
  • Validated Code: Provide Python source code accompanied by test cases and passed type checks.

Validate

  • Code must run in a Python 3.10+ environment.
  • Functions should have Docstrings (following Google or NumPy styles).
  • Complex logic should include unit tests.
  • All public APIs should have complete type hints.

Documentation

Official References

Internal References

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.