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python-services

python-services

github.com/iliaalDevelopment45166 installsUpdated 3d ago
Repository

About python-services

A skill for Python service and CLI work, aimed at developers implementing or reviewing Python systems. It emphasizes validated boundaries, restrained concurrency, idempotency, and project checks.

Key features

  1. 01Validate inputs and responses
  2. 02Handle concurrency and cancellation
  3. 03Set timeouts and permitted retries
  4. 04Enforce job idempotency
  5. 05Preserve API and migration behavior
  6. 06Run pytest, Ruff, and ty checks

Use cases

  1. 01Reviewing external API validation
  2. 02Implementing resilient background jobs
  3. 03Configuring Python CLI and tests

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/iliaal/ai-skills --skill python-services

After installing, type/python-servicesin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

SPEC.md
references/
cli-tools.md
concurrency-and-resilience.md
fastapi.md
service-boundaries.md
tooling-and-tests.md

Details

From the project README

Python Services & CLI

Working rules

  • Validate external inputs and responses at boundaries; preserve exception causes.
  • Keep missing results distinct from empty results. When an empty collection means success, require the response field instead of defaulting it to empty; an all-default model can validate {} as success. Test missing, misspelled, explicitly empty, and populated payloads through the real validation boundary.
  • Keep simple sequential work synchronous. Bound concurrent work, preserve cancellation, and keep task references.
  • Give network calls timeouts; retry only failures and operations whose semantics permit it.
  • Enforce job idempotency with atomic writes and database constraints.
  • Preserve published API behavior and shared migration history.
  • Match telemetry to an operational question and verify its output.

Discipline

  • Simplicity first: every change as simple as possible, impact minimal code
  • Only touch what's necessary; avoid introducing unrelated changes
  • No hacky workarounds: if a fix feels wrong, step back and implement the clean solution
  • Before adding a new abstraction, verify it appears in 3+ places. If not, inline it.
  • Verify: see Verify section below; pass all checks with zero warnings before declaring done

Verify

  • uv run pytest passes with zero failures
  • uv run ruff check . passes with zero warnings
  • uv run ty check . passes with zero errors
  • Coverage target: 80%+ (uv run pytest --cov; add --cov-report=html for a browsable report)

Task-specific references

Read the relevant reference before implementing or reviewing the matching behavior:

Existing specialized references, when the corresponding topic applies:

Comments

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