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hmj1026hmj1026/dhpk/skills/python/SKILL.md

python

Skill2 starsChanged 6 days agoMITView on GitHub

Python service implementation or review, async FastAPI/SQLAlchemy APIs, pytest tests, and ruff/pyright/mypy setup or triage. Use for backend Python tasks. Not for frontend or non-Python work. Output: compatible typed code, offline tests, API guidance, or static-check configuration with evidence.

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The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 40 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use $python <task> to implement, review, test, or configure the scoped Python service.

    line 12

“Common” is measured: kept by at least 6 in 10 of the 40 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Python

Use $python <task> to implement, review, test, or configure the scoped Python service. Select the required internal procedure after resolving the target.

Resolve compatibility first

Identify the target package/subproject from the request and its own pyproject.toml, lock, and checker configuration. An intentional explicit version override wins; record it separately from observed constraints. Read requires-python at its actual range precision: >=3.10 establishes a 3.10 floor, while >=3.9,<3.12 does not authorize 3.10-only syntax. Lock/configuration conflicts, missing evidence, incompatible ranges, or several plausible package scopes require asking and waiting before version-specific reference loads or dependent edits. python --version describes the tool environment. Migration requires an explicit destination; group resources and evidence for multi-target work separately. Confirm framework/library major from target lock/manifest before framework-specific API advice (especially Pydantic1 versus2).

Select local resources

TaskProcedure
Typed language/service implementation or reviewlanguage
ruff/pyright/mypy configuration, suppression, lint triagestatic
Async pytest fixtures, regression tests, offline API teststesting
FastAPI routes, Depends, Pydantic, SQLAlchemy2 async, Alembic designFastAPI

Load only the selected procedure and any other specialty actually needed for the request. The language procedure assumes Python3.10+; TaskGroup needs3.11+. For an older target, preserve its syntax floor and give a bounded compatibility answer or request an explicit upgrade decision. FastAPI examples assume Pydantic2/SQLAlchemy2; adapt only after confirming target evidence.

These are local instructions; consumer source/configuration and tool binaries are task inputs. Missing bundled resources are BLOCKED; missing tools or external services are NOT_RUN/UNAVAILABLE. Do not recover local resources from a predecessor skill or an ambient module.

Authority and completion

A request to implement or configure authorizes scoped source/test/configuration edits. Review/check tasks stay read-only; auto-fix/format writes require the corresponding edit intent. Use the project's test-first workflow for behavior. Preserve the configured coverage floor and offline/live test distinction. Migration design does not authorize executing DDL or mutating a shared database. Tooling hooks mentioned by the procedures describe consumer integration; this skill does not install or require dhpk hooks to perform its task.

Return the resolved target and compatibility floor, selected procedure, implementation/findings/test plan/configuration, actual lint/type/test evidence, and residual risk. API results retain transaction/auth/error boundaries; testing results retain isolated fixtures, dependency overrides, and live opt-in markers; static results retain command/configuration/suppression evidence. Keep local tests, provider/DB execution, commit, push, and publication separate.

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