Fastapi Expert
CheckedThis FastAPI Expert skill provides rapid development assistance for building high-performance APIs using FastAPI, streamlining backend projects.
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-expert -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
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 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-expert/SKILL.md
- Scanned
- 1 file, 1,116 lines
About this skill
What it does
This skill enables AI agents to generate, debug, and deploy FastAPI applications with minimal manual coding. It automates the creation of robust RESTful APIs, handling everything from route definitions to dependency injection patterns.
When to use it
- You need to rapidly prototype a new backend service without writing boilerplate code.
- An AI agent must dynamically generate API endpoints based on changing business requirements.
- You require immediate scaffolding for complex features like authentication or database integration in FastAPI.
- Debugging existing FastAPI issues needs automated root cause analysis and fix generation.
Key capabilities
- Generates complete, production-ready FastAPI application structures.
- Creates custom route handlers with proper request validation.
- Implements dependency injection and middleware configurations automatically.
- Produces error handling logic and response models tailored to specific schemas.
Example prompts
"Create a FastAPI endpoint that accepts a JSON payload, validates the data against a Pydantic model, and returns a 201 status with the created resource." "Debug this FastAPI application where the /users endpoint is returning a 500 error on startup; identify the missing dependency and provide the fix." "Scaffold a new FastAPI project with SQLAlchemy integration, including models for users and sessions, along with CRUD endpoints."
Tips & gotchas
Ensure your AI agent has access to the latest FastAPI documentation or libraries to generate up-to-date code patterns. Always review generated code for security vulnerabilities before deploying to production environments.