About this skill

What problem it addresses

FastAPI projects often contain repetitive scaffolding: route functions, request models, response wrappers, and OpenAPI annotations. Fastapi Wrap targets that layer of work. Its stated focus is a modern, high-performance Python Web framework with automatic interactive docs, which helps reduce manual maintenance of @app.get, @app.post, and OpenAPI metadata.

How the skill works

Starting from existing FastAPI code or an API description, it focuses on three layers: routing, data models, and interactive documentation.
- Organize paths, methods, and parameters into clearer APIRouter or route function structures;
- Add Pydantic models, status_code, and response_model annotations for requests and responses;
- Generate titles, descriptions, and tags so the interactive docs read like an interface contract;
- For github and automation contexts, provide copy-ready scaffolds or script snippets rather than replacing CI/CD pipelines.

Boundaries

It fits FastAPI-based engineering contexts, especially small services that need cleaner docs and boilerplate wrappers. Treat generated code as a starting point: authentication, exception handling, database access, and tests still need project-level decisions. Do not assume the skill can infer full business rules or enforce security boundaries.

Screenshots

Use Cases

Consolidate scattered FastAPI routes in an existing project, add request and response models, and generate interactive docs.
Wrap small internal APIs with reusable `APIRouter` boilerplate, unify response shapes, and add OpenAPI tags.
Reduce repeated interface-generation logic in GitHub automation scripts by turning it into a reusable wrapper.
Before an API review, refine titles, descriptions, and parameter notes so interactive docs can serve as acceptance evidence.

Best For

Backend engineers maintaining FastAPI internal services who need fast route, model, and API doc boilerplate.
Full-stack engineers maintaining GitHub automation scripts who need reusable wrappers for repeated interface-generation logic.
Frontend or backend reviewers preparing an API review who need interactive docs with clear descriptions and tags.
Engineers taking over legacy FastAPI repos who need to consolidate scattered routes and unify response and doc structure.