fastapi-templates
Description
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling.
How to Use
- Visit the GitHub repository to get the SKILL.md file
- Copy the file to your project root or .cursor/rules directory
- Restart your AI assistant or editor to apply the new skill
Full Skill Documentation
name
fastapi-templates
description
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Tags
About fastapi-templates
fastapi-templates is an AI skill in the backend category, designed to help developers and users work more effectively with AI tools. Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling.
This skill has earned 5,200 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude, codex.
Key Capabilities
Why Use fastapi-templates
Adding fastapi-templates to your AI workflow can significantly enhance your productivity in backend tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.
Whether you use claude or codex, you can easily integrate this skill into your existing development environment.
Explore More backend Skills
Discover more AI skills in the backend category to build a comprehensive AI skill stack.
Related Skills
api-design-principles
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs.
database-optimization
Optimize database queries, indexing strategies, and data modeling for high-performance applications.
temporal-python-testing
Test Temporal workflows with pytest, time-skipping, and mocking strategies.
temporal-python-workflows
Build durable, fault-tolerant workflows using Temporal with Python SDK.
web3-testing
Test smart contracts using Hardhat and Foundry with unit tests, integration tests, and mainnet forking.