Fastapi Development
CheckedThis skill rapidly generates FastAPI web applications, streamlining backend development and accelerating project setup for efficient API creation.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aj-geddes/useful-ai-prompts --skill fastapi-development -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aj-geddes
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 9 files, 553 lines
About this skill
The FastAPI development skill enables AI agents to generate, debug, and deploy high-performance Python web APIs using the FastAPI framework. It focuses on creating asynchronous endpoints with Pydantic models for robust data validation and automatic OpenAPI documentation.
When to use it
- Building new REST or GraphQL backends that require high concurrency and low latency.
- Generating complete API boilerplate code including request schemas, response models, and route definitions.
- Refactoring legacy synchronous Python code into asynchronous FastAPI applications.
- Creating automated testing suites for API endpoints using the framework's built-in test client.
Key capabilities
- Generates type-safe Pydantic models for input validation and serialization.
- Creates asynchronous endpoint handlers optimized for performance.
- Automatically produces interactive OpenAPI/Swagger documentation.
- Implements dependency injection systems for managing resources like databases.
- Writes unit tests using the FastAPI test client.
Example prompts
- "Create a FastAPI application with an endpoint to create users, including Pydantic models for validation and automatic Swagger docs."
- "Refactor this synchronous Flask code into an asynchronous FastAPI app with proper dependency injection."
- "Write a comprehensive test suite for my existing FastAPI endpoints using pytest and the test client."
Tips & gotchas
Ensure your AI agent understands that FastAPI relies heavily on async/await patterns; prompts should explicitly request asynchronous implementations. While the skill generates valid code, you must still configure environment variables for database connections and secrets before deployment.