fastapi-templates
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.
About this skill
This skill empowers AI agents to rapidly generate structured, production-ready FastAPI projects. It leverages best practices for asynchronous operations, integrates robust dependency injection, and includes comprehensive error handling mechanisms. Designed for building high-performance web services and microservices, it provides a solid foundation for new backend API projects, allowing for quick setup with predefined structures, including options for databases like PostgreSQL and MongoDB, and integrated testing configurations. It ensures the generated projects adhere to modern Python development standards.
Best use case
Scaffolding new FastAPI projects from scratch; building high-performance async REST APIs and microservices; setting up backend API projects with best practices.
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.
A new, well-structured FastAPI project directory with boilerplate code configured for production-readiness, including async patterns, dependency injection, error handling, and potentially database integrations (e.g., PostgreSQL, MongoDB), ready for further development.
Practical example
Example input
Create a FastAPI project for a user management API, including PostgreSQL integration and authentication boilerplate.
Example output
A directory named `user-management-api` containing a complete FastAPI project structure. This includes `main.py` with basic async routes, `database.py` configured for PostgreSQL, dependency injection setup, error handling middleware, an authentication module, and a `tests/` directory with initial test cases.
When to use this skill
- When starting a new FastAPI project and requiring a pre-configured, production-ready structure. Ideal for developing async REST APIs, high-performance web services, or microservices with built-in patterns for dependency injection, middleware, error handling, and database integration (e.g., PostgreSQL, MongoDB). Use this skill to jumpstart development and ensure adherence to best practices.
When not to use this skill
- The `SKILL.md` explicitly mentions a 'Do not use this skill when' section, which is truncated in the provided excerpt. However, generally, it would not be suitable when modifying an existing FastAPI project, when the project is not based on FastAPI, or when very specific, non-standard project structures are required that fall outside the provided templates.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/fastapi-templates/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How fastapi-templates Compares
| Feature / Agent | fastapi-templates | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | medium | N/A |
Frequently Asked Questions
What does this skill do?
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.
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as medium. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# FastAPI Project Templates Production-ready FastAPI project structures with async patterns, dependency injection, middleware, and best practices for building high-performance APIs. ## Use this skill when - Starting new FastAPI projects from scratch - Implementing async REST APIs with Python - Building high-performance web services and microservices - Creating async applications with PostgreSQL, MongoDB - Setting up API projects with proper structure and testing ## Do not use this skill when - The task is unrelated to fastapi project templates - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples.
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