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Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns.
Passed 19 of 22 test cases with the skill, and 18 of 22 without it.
1 fixed18 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
When designing REST endpoints for CRUD operations in a modern API layer, how should request payload validation and response data structures be enforced?
| Checked | Without skill | With skill |
|---|---|---|
| The response specifies using Pydantic models for request validation. | Missed | Passed |
| The response specifies configuring response models on route handlers. | Missed | Passed |
The instructions your model reads when the skill loads.
Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.
Use this workflow when:
app-builder - Application scaffoldingpython-development-python-scaffold - Python scaffoldingfastapi-templates - FastAPI templatesuv-package-manager - Package managementUse @fastapi-templates to scaffold a new FastAPI project
Use @python-development-python-scaffold to set up Python project structure
test cases passed, vs 18 / 22 without
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