Generate FastAPI backend applications from AGENTS.md and PRD.md specifications.
npx skills add https://github.com/emilyLi2020/WAVE --skill scaffold-backend
Please help me install this Agent Skill. Skill: scaffold-backend Source: https://github.com/emilyLi2020/WAVE/tree/main/.agents/skills/scaffold-backend Command: npx skills add https://github.com/emilyLi2020/WAVE --skill scaffold-backend
Manually building backend APIs for web projects is time-consuming and prone to inconsistencies, especially when you already have detailed product requirements and team conventions documented in PRD.md and AGENTS.md. This Skill eliminates that repetitive work by auto-generating a fully functional, typed FastAPI backend directly from your existing project specs.
Use the scaffold-backend skill to generate a complete FastAPI backend for your project after you have created AGENTS.md and PRD.md with your backend routes and data models defined.
High-intent search queries and answers about installing and using this skill.
You can generate a FastAPI backend from a PRD by using a scaffolding tool that reads your PRD.md and AGENTS.md files to automatically create typed Pydantic models, route stubs, environment configuration, and test suites without manual boilerplate coding.
Before scaffolding a FastAPI backend, you need AGENTS.md and PRD.md files that define your backend requirements, route endpoints, and data models. A preflight validation checks for these files and confirms the project requires a backend before generating any code.
Yes, you can include optional Supabase database integration when generating FastAPI route stubs. The scaffolding process creates a full project structure with Pydantic models and typed route handlers that support Supabase integration to meet backend database needs.
PRD-driven route generation works by reading the Backend Routes section in your PRD.md and creating one type-safe FastAPI route stub per entry. Each generated stub includes dummy functional data, allowing immediate frontend integration and testing out of the box.
The best way to automate creating typed Pydantic models is to use a PRD-driven scaffolding approach that parses your project specifications and generates a complete, production-ready FastAPI server directory with fully typed models and route handlers.
A limitation of generating a FastAPI backend from project specs is that the process strictly requires predefined AGENTS.md and PRD.md files. Without these documents detailing your backend routes and data models, the preflight validation will fail and no code will be generated.
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