fastapi-expert

Enforce async-first FastAPI patterns with Pydantic v2 and Python 3.12+.

Updated Dec 15, 2025

Search Tags:#documentation #pydantic #fastapi #async #type-safety #code-review #di

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npx skills add https://github.com/HafizFasih/ai-native-book-hackathon --skill fastapi-expert-hafizfasih

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fastapi-expert
Source: https://github.com/HafizFasih/ai-native-book-hackathon/tree/main/.claude/skills/fastapi-expert
Command: npx skills add https://github.com/HafizFasih/ai-native-book-hackathon --skill fastapi-expert-hafizfasih

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill codifies best-practice FastAPI development to help teams enforce async-first design, strong typing, and clear boundaries between routers, services, and schemas.

Core Features & Use Cases

Framework Purist: enforces async hygiene, DI-first design, and Pydantic-based contracts.
Code-review checklist: 20+ deep questions covering async hygiene, type safety, API design, dependencies, and state management.
Educational & governance tool: ideal for onboarding engineers and auditing FastAPI projects.

Quick Start

Review a FastAPI codebase against the 20+ questions, then iteratively refactor routers, services, and schemas to satisfy the guidelines.

Frequently Asked Questions about fastapi-expert

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

FAQPage Schema

How do I enforce async-first patterns and type safety in a FastAPI codebase?▼

FastAPI best-practice governance uses a codified checklist of 20+ questions to enforce async-first design and type safety. It reviews routers, services, and schemas to ensure clear architectural boundaries and Pydantic-based contracts.

What's the best way to review FastAPI routers and schemas for async hygiene?▼

The best way to review FastAPI routers and schemas is applying a deep code-review checklist covering async hygiene, dependency injection, and state management. You iteratively refactor code against these guidelines to satisfy strict framework purist standards.

Can I integrate FastAPI code review checks into my CI workflow?▼

Yes, you can integrate these FastAPI code review checks into CI workflows. The solution requires no external tooling beyond standard Python environments and verifies code quality against defined criteria automatically during the pipeline.

Does FastAPI code review guidance work with Pydantic v2 and Python 3.12+?▼

Yes, this FastAPI code review guidance specifically targets projects using Pydantic v2 and Python 3.12+. It governs data validation and API design by codifying strong typing and dependency injection rules for those versions.

Why should I use a checklist to audit FastAPI dependencies and state management?▼

Using a checklist to audit FastAPI dependencies and state management ensures consistent DI-first design and clear boundaries. It serves as an educational tool for onboarding engineers and maintaining strong typing across complex async projects.

What are the limitations of using standardized guidelines for FastAPI project governance?▼

The limitation is that these standardized FastAPI guidelines target Python 3.12+ and Pydantic v2 exclusively. Projects using older Python versions or alternative validation libraries cannot fully adopt the codified async-first patterns and type safety checks.