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Shresth-sh
Shresth-shCOMMUNITY
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fastapi

Build FastAPI services with Pydantic v2, async patterns, and structured error handling.

Updated Feb 24, 2026
Search Tags:#authentication#pydantic#fastapi#python#asynchronous#api-development
One-click install
npx skills add https://github.com/Shresth-sh/resume-matcher-ai-project --skill fastapi-shresth-sh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi
Source: https://github.com/Shresth-sh/resume-matcher-ai-project/tree/main/.github/skills/fastapi
Command: npx skills add https://github.com/Shresth-sh/resume-matcher-ai-project --skill fastapi-shresth-sh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build Python APIs with FastAPI, Pydantic v2, and async patterns. Covers project structure, JWT auth, validation, database integration, and 7 documented error preventions. Use when creating Python APIs, implementing auth, or troubleshooting 422 validation, CORS, async blocking, or schema errors.

Core Features & Use Cases

  • Separate Pydantic schemas from SQLAlchemy models
  • Use async for I/O operations
  • Validate with Pydantic Field()
  • Use dependency injection via Depends()
  • Return proper status codes (201 create, 204 delete)
  • Covers JWT auth, validation, DB integration, and error prevention

Quick Start

Scaffold a FastAPI project, define Pydantic models, configure JWT authentication, and wire a small async router to validate requests.

Frequently Asked Questions about fastapi

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

FAQPage Schema
How do I fix 422 validation errors in FastAPI?▼

Fix 422 validation errors in FastAPI by using Pydantic Field() to enforce strict request validation and separating Pydantic schemas from SQLAlchemy models. This prevents schema mismatches and ensures proper request validation before processing.

What is the best way to structure a FastAPI project with authentication and database integration?▼

Structure a FastAPI project by using dependency injection via Depends() for JWT authentication, separating Pydantic schemas from SQLAlchemy models, and using async I/O for database operations. This yields a robust project with structured error handling and proper status codes.

Why does my FastAPI async endpoint block during database calls?▼

FastAPI async endpoints block when synchronous database operations are used instead of asynchronous I/O patterns. Use async for I/O operations to prevent blocking calls and ensure your API handles concurrent requests efficiently without stalling.

Do I need to separate Pydantic schemas from SQLAlchemy models in FastAPI?▼

Yes, you need to separate Pydantic schemas from SQLAlchemy models in FastAPI to maintain clear validation boundaries. This practice prevents serialization errors, simplifies data validation using Pydantic Field(), and isolates database logic from API response structures.

How do I return proper HTTP status codes in FastAPI for create and delete operations?▼

Return proper HTTP status codes in FastAPI by assigning 201 for resource creation and 204 for deletion. Applying these specific status codes following dependency injection ensures your API adheres to RESTful conventions and structured error prevention rules.

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