Implement FastAPI endpoints with Pydantic models and pytest tests.
npx skills add https://github.com/aroido/vibesmith --skill api-implement
Please help me install this Agent Skill. Skill: api-implement Source: https://github.com/aroido/vibesmith/tree/main/.claude/skills/api-implement Command: npx skills add https://github.com/aroido/vibesmith --skill api-implement
This Skill streamlines the process of implementing APIs required by frontend applications, ensuring consistency and efficiency in backend development.
Use the api-implement skill to create a new GET endpoint for the '/users' resource, referencing issue number 123.
High-intent search queries and answers about installing and using this skill.
To implement a FastAPI endpoint from a frontend request, you define the API endpoint, request parameters, and response formats, then generate the corresponding Pydantic models and FastAPI routes. This process also integrates with GitHub issues for tracking.
Generating Pydantic models for request parameters and response formats is handled automatically when you implement the API endpoints. The Skill defines these structures to ensure consistency between the frontend request and the backend FastAPI route implementation.
Yes, you can link API endpoint implementation directly to a GitHub issue for traceability. The Skill connects the creation of new FastAPI routes and Pydantic models to specific issue numbers, ensuring backend development remains tracked and documented.
Yes, this approach includes writing unit tests for FastAPI routes using pytest. Alongside defining the API spec and generating Pydantic models, the Skill automatically generates corresponding pytest tests to validate the newly implemented endpoints.
The best way to structure backend development for new data endpoints is to define the API spec, create Pydantic models, implement FastAPI routes, and write pytest tests. This ensures consistency and efficiency while tracking progress through GitHub issues.
While you can define endpoints independently, having an existing GitHub issue is core to this workflow. Connecting API implementation to an issue provides necessary traceability and documentation for the requested frontend data endpoints.
aroidoCreate GitHub Issues for API endpoint requests and generate mock data.
rube-deDetect test frameworks, run suites with coverage, and report findings as a GitHub issue.
AINative-StudioDesign FastAPI REST APIs with Pydantic schemas and OpenAPI documentation.
AstyanMGenerate OpenAPI, Markdown, or Postman documentation from source code.
