add-route

Generate FastAPI route code with Pydantic models and service integration.

Updated Feb 21, 2026

Search Tags:#developer tools #api #fastapi #code generation #backend #scaffolding

Ready to run

npx skills add https://github.com/AkshayReddyGujjula/StudyCanvas --skill add-route

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: add-route
Source: https://github.com/AkshayReddyGujjula/StudyCanvas/tree/main/.claude/skills/add-route
Command: npx skills add https://github.com/AkshayReddyGujjula/StudyCanvas --skill add-route

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the boilerplate code generation for adding new API endpoints to the StudyCanvas FastAPI backend, streamlining the development process for new features.

Core Features & Use Cases

Route Scaffolding: Generates necessary files and code snippets for new API routes.
Model Generation: Creates Pydantic models for request and response payloads.
Service Integration: Includes placeholders for Gemini API calls and rate limiting.
Use Case: When a developer needs to add a new AI-powered feature, like a summarization endpoint, this Skill will set up the route, models, and service integration automatically.

Quick Start

Use the add-route skill to scaffold a new FastAPI route for a feature named 'summarize-notes'.

Frequently Asked Questions about add-route

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I scaffold a new FastAPI route and generate Pydantic models automatically?▼

To scaffold a FastAPI route, this Skill automates the creation of route handlers and Pydantic models for request and response payloads. It generates the necessary boilerplate code snippets to streamline adding new API endpoints to your backend application.

What is the best way to add AI feature endpoints to a FastAPI backend?▼

The best way to add AI feature endpoints is using route scaffolding to generate the initial API structure. This approach creates Pydantic models and includes placeholders for Gemini API calls and rate limiting, streamlining the development process for new AI-powered features.

Can I integrate rate limiting and Gemini API calls when creating new FastAPI routes?▼

Yes, you can integrate rate limiting and Gemini API calls when creating new FastAPI routes. The Skill includes built-in service integration placeholders for Gemini API calls and rate limiting during the route scaffolding and model generation process.

Does FastAPI route scaffolding support data processing and user-facing APIs?▼

Yes, FastAPI route scaffolding supports data processing and user-facing APIs. It automates boilerplate code generation for various scenarios, including adding new AI features, data processing endpoints, or user-facing APIs to your backend application.

How do I generate boilerplate code for a summarize-notes endpoint in FastAPI?▼

To generate boilerplate code for a summarize-notes endpoint, use the route scaffolding Skill to set up the FastAPI route, Pydantic models, and service integration automatically. This streamlines the creation of new AI-powered summarization features.