Add API Endpoints Automatically
Automatically add API endpoints to existing projects.
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See it in action
You say
Add a POST endpoint to /users that accepts an email and password, validates the input, and returns a 201.
Your agent does
Project Detected: Express (Node.js)
Endpoint Added:
- Method: POST
- Route: /users
- Purpose: User registration
Implementation Summary:
- Added route to /routes/users.js
- Created controller logic in /controllers/userController.js
- Added Joi validation middleware
Files Modified:
- src/routes/users.js
- src/controllers/userController.js
Validation Result: All tests passed (2 tests executed).
How to Test: curl -X POST http://localhost:3000/users -d '{"email":"test@example.com", "password":"password123"}'
What you get
About this skill
The problem
Manually scaffolding new API endpoints is repetitive and error-prone. It is easy to deviate from established project conventions, miss validation logic, or forget to update the corresponding test suites.
What it does
- Detects existing backend frameworks and routing patterns automatically.
- Generates RESTful routes and controllers following project-specific naming conventions.
- Implements request validation and response handling based on existing middleware.
- Updates or creates test files to match the current testing architecture.
- Validates changes using local linting and test execution tools.
Frameworks & tools
Works with any backend stack including Node.js (Express, Fastify), Python (FastAPI, Flask), Go, and Ruby on Rails. Utilizes Read, Edit, and Bash tools for implementation and verification.
Why this beats prompting it yourself
Generic prompts often produce hallucinated patterns or ignore your project's specific directory structure. This skill enforces a "Safety > Project Convention" priority, ensuring new code integrates with your existing middleware and architecture without manual refactoring.
Use cases
- Adding a new POST endpoint to handle user registration with validation.
- Extending an existing resource controller with a new PATCH route.
- Scaffolding a health-check endpoint for a new microservice.
- Implementing CRUD operations for a newly defined database model.
Known limitations
Requires an existing project structure to detect conventions. It will not invent database models from scratch unless explicitly required for the endpoint logic.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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