Skill

Generate Production-Ready FastAPI Project Templates

Skill for production-ready FastAPI project structures with async patterns, dependency injection, and middleware.

Works with postgresqlmongodb

71
Spark score
out of 100
Updated 23 days ago
Version 14.6.0

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Why it matters

Accelerate your FastAPI development with production-ready project templates. This asset provides robust structures for high-performance APIs, incorporating async patterns, dependency injection, and best practices.

Outcomes

What it gets done

01

Scaffold new FastAPI projects with pre-configured structures.

02

Implement async REST APIs and microservices efficiently.

03

Integrate with databases like PostgreSQL and MongoDB.

04

Set up projects with proper testing and best practices.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-fastapi-templates | bash

Overview

FastAPI Project Templates

A skill for scaffolding production-ready FastAPI projects with async patterns, dependency injection, middleware, and testing. Use when starting a new FastAPI project or async Python API/microservice that needs a production-ready structure.

What it does

FastAPI Project Templates provides production-ready FastAPI project structures built around async patterns, dependency injection, middleware, and best practices for high-performance APIs.

When to use - and when NOT to

Use it when starting a new FastAPI project from scratch, implementing async REST APIs in Python, building high-performance web services or microservices, creating async applications backed by PostgreSQL or MongoDB, or setting up an API project with proper structure and testing in place from the start. It is not suited to tasks unrelated to FastAPI project scaffolding or that need a different framework or domain entirely.

Inputs and outputs

The skill applies relevant FastAPI best practices and validates outcomes against the stated goals and constraints, providing actionable setup steps and verification rather than a single fixed template. Detailed patterns and worked examples are available in a companion resources/implementation-playbook.md.

Who it's for

Python developers starting a new FastAPI-based API or microservice - backed by PostgreSQL or MongoDB - who want a production-ready starting structure already in place (async patterns, dependency injection, middleware, and testing) rather than assembling the project layout from scratch.

FAQ

Common questions

Discussion

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