Enforce Python type hints, error handling, and Pydantic v2 validation.
npx skills add https://github.com/juanmanueldaza/invencible --skill code-juanmanueldaza
Please help me install this Agent Skill. Skill: code Source: https://github.com/juanmanueldaza/invencible/tree/main/.claude/skills/code Command: npx skills add https://github.com/juanmanueldaza/invencible --skill code-juanmanueldaza
Python language standards define a baseline for type hints, error handling, logging, and style conventions to improve code reliability and maintainability.
except: without a specific exception typeprint() used in production code (use logging instead)def f(x=[]):)from __future__ import annotations in all modulespathlib.Path over os.path for filesystem operationsAudit a Python module to ensure type hints, proper error handling, and logging are in place.
High-intent search queries and answers about installing and using this skill.
You enforce Python coding standards by auditing modules to require type hints on public functions, mandate `from __future__ import annotations`, and reject mutable default arguments. This process ensures consistent style and improves code reliability.
Using `pathlib.Path` is preferred over `os.path` for filesystem operations to align with modern Python coding standards. This approach provides an object-oriented interface for path manipulation, improving code readability and maintainability.
Proper error handling and logging in production Python code requires using the `logging` module instead of `print()` statements. Additionally, you must reject bare `except:` clauses and always catch specific exception types.
Yes, this coding standard requires Pydantic v2 for data validation models. It also prefers using dataclasses or Pydantic models over raw dictionaries to ensure structured data is properly validated and typed.
No, you should avoid deeply nested conditionals when writing Python modules. The standard prefers early returns to flatten the code structure, which simplifies logic and enhances overall code reliability.
Bare `except:` clauses are actively rejected because they catch all exceptions indiscriminately, including system exits. Catching specific exception types is enforced to prevent masking real errors and breaking application control flow.
FortiumPartnersDevelop Python 3.11+ applications with type hints, FastAPI, and pytest.
hiimtrungCreates typed Python modules with Pydantic v2 models and clean architecture boundaries.
jr2804Enforce pathlib.Path objects for Python file and directory operations.
vathymutReview Python code for correctness, type safety, performance, and PEP 8 style.