Fastapi Async Patterns
Rapidly build robust, asynchronous FastAPI applications leveraging proven patterns from thebushidocollective for scalable backends.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add fastapi-async-patterns npx -- -y @trustedskills/fastapi-async-patterns
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"fastapi-async-patterns": {
"command": "npx",
"args": [
"-y",
"@trustedskills/fastapi-async-patterns"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to implement asynchronous patterns in FastAPI applications, improving performance and scalability. It provides techniques for handling long-running tasks, background jobs, and non-blocking I/O operations efficiently.
When to use it
- Handling large file uploads or processing without blocking the main thread
- Performing background tasks like sending emails or generating reports asynchronously
- Building real-time APIs that require concurrent request handling
Key capabilities
- Integration with FastAPI's async support using
async defandawait - Use of background tasks with
BackgroundTasks - Support for asynchronous database operations with ORMs like SQLAlchemy
- Implementation of rate limiting and circuit breakers in async workflows
Example prompts
- "Implement an async endpoint for processing large file uploads in FastAPI."
- "Set up a background task to send confirmation emails after user registration."
- "Optimize my FastAPI application by refactoring synchronous code into asynchronous patterns."
Tips & gotchas
- Ensure your database drivers and dependencies support asynchronous operations.
- Be cautious with shared state in async functions, as it can lead to race conditions.
Tags
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