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python-architecture

Structure Python backends with explicit dependency direction, ports/adapters, and runtime boundaries. Use when shaping project layout, clean architecture, service boundaries, dependency injection, report rendering boundaries, or transport separation in Python.

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  • SKILL.md1.8 KB
  • evals/evals.json1.4 KB
  • references/clean-architecture.md657 B

SKILL.md (original)

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Python Architecture

Priority: P0 (CRITICAL)

Rules

  • Keep domain decisions independent from HTTP, DB, env, and queue clients.
  • Define ports where callers need substitution; implement adapters at the edge.
  • Compose runtime dependencies in startup or wiring modules.
  • Treat contracts, policy, and normalization helpers as standalone modules.

Recipe

  1. Place pure contracts and policy in domain/application modules.
  2. Keep adapters thin: DB, HTTP, bot, MCP, subprocess, storage.
  3. Push workflow orchestration into services that call contracts and ports.
  4. Separate report formatting from fact gathering.
  5. Add focused regression tests before moving boundary code.

Anti-Patterns

  • No fake clean architecture theatre: folders must match real ownership.
  • No DB imports in domain policy.
  • No startup wiring hidden in module globals.
  • No one-function runtime blobs spanning parse, dispatch, verify, and notify.

References

Canonical response anchors

When this skill applies, preserve the following domain terminology or equivalent concrete examples in the answer when relevant:

  • inject

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