How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/alexander-danilenko/cortex-ai-skills --skill pythonBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
Python
House conventions for Python 3.11+. Apply them to code you are writing or changing — don't refactor untouched files to match unless asked.
Conventions
- Type every public signature and keep
mypy --strictgreen. Types on internals are optional; types at the boundary are what stop a caller passing the wrong thing. - Built-in generics and `X | None` —
list[str],dict[str, int],str | None.typing.ListandOptional[str]are the pre-3.10 spelling and only cost an import. - `Protocol` over ABC inheritance. Structural typing lets any correctly-shaped object satisfy the contract — including a test double — with no inheritance tree to maintain.
- Dataclasses for data,
slots=Trueandfrozen=Truewhere they fit. They generate__init__,__repr__, and__eq__correctly; a hand-written__init__is where field drift starts. Pydantic is for validation and (de)serialisation at a boundary, not for plain records. - `pathlib`, not `os.path`. Operator joins can't silently produce a wrong path from a stray separator.
- Never a mutable default argument.
def f(items=[])shares one list across every call — a bug that only appears on the second call. Default toNoneand build inside. - `asyncio.TaskGroup` over bare `gather` (3.11+): it cancels siblings on failure and reports via
ExceptionGroup, so a crashed task can't leave the rest running detached. Useasync with asyncio.timeout(n)for deadlines. - Hold a reference to every `create_task`. The event loop only keeps a weak reference, so a fire-and-forget task can be garbage-collected mid-execution and simply vanish — no error, no result. Keep them in a
setand discard on completion:
_tasks: set[asyncio.Task[None]] = set()
def spawn(coro: Coroutine[None, None, None]) -> None:
task = asyncio.create_task(coro)
_tasks.add(task)
task.add_done_callback(_tasks.discard)- Never a bare `except:` — it swallows
KeyboardInterruptandSystemExit. Catch what you can actually handle. - Google-style docstrings on public functions and classes, carrying intent rather than a restatement of the signature. The
documentationskill has the full rule. - pytest: fixtures for setup, `parametrize` for cases. A loop inside one test reports a single failure and hides which case broke;
parametrizenames each one. - Poetry and `pyproject.toml` for packaging, ruff for lint and format, and a
py.typedmarker on any package whose types consumers should see. Use asrc/layout — it stops tests from importing the working directory instead of the installed package, which is how a broken package still passes its own suite.
Tooling baseline
strict = true covers most of it; these add the checks that catch real bugs rather than style. --strict-markers matters more than it looks: without it a typo'd @pytest.mark.integraton silently does nothing and the test runs where you thought it was excluded.
[tool.mypy]
strict = true
warn_unreachable = true
warn_redundant_casts = true
warn_unused_ignores = true
[[tool.mypy.overrides]]
module = "untyped_dep.*"
ignore_missing_imports = true
[tool.pytest.ini_options]
addopts = ["-ra", "--strict-markers", "--strict-config"]


