Fastapi
CheckedFastAPI enables rapid API development with Python’s type hints and modern features, streamlining backend creation for efficiency.
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 martinholovsky/claude-skills-generator --skill fastapi -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
martinholovsky
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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
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No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned martinholovsky/claude-skills-generator at 1086ef2567.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1086ef2567
- Manifest
- skills/fastapi/SKILL.md
- Scanned
- 4 files, 1,194 lines
About this skill
fastapi
What it does
This skill enables AI agents to build and deploy high-performance web APIs using Python's FastAPI framework. It handles automatic OpenAPI schema generation, dependency injection, and asynchronous request handling out of the box.
When to use it
- You need to create a REST or GraphQL API for an AI agent to interact with external services.
- Your application requires high concurrency and async support for I/O-bound tasks like database queries or HTTP calls.
- You want automatic interactive API documentation (Swagger UI) generated from your code definitions.
- You are building microservices that need type safety via Pydantic models for request/response validation.
Key capabilities
- Automatic OpenAPI schema generation and interactive docs
- Async support for high-performance I/O operations
- Built-in dependency injection system
- Request/Response validation using Pydantic
- Middleware integration for logging, CORS, and security
- Path operation decorators for defining endpoints
Example prompts
- "Create a FastAPI endpoint that accepts a user ID and returns their profile data from a mock database."
- "Generate a Python script with FastAPI to handle file uploads and return a processed image URL."
- "Set up a FastAPI server with CORS enabled and Swagger UI documentation for public access."
Tips & gotchas
Ensure you have Python 3.8+ installed, as FastAPI relies on modern async features. Always validate input data using Pydantic models to prevent injection attacks or malformed requests.