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Fastapi

Checked
davidcastagnetoa·vlatest·backend

FastAPI provides a rapid development framework for building APIs with Python, boosting backend efficiency and streamlining web application creation.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davidcastagnetoa/skills --skill fastapi -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davidcastagnetoa

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 davidcastagnetoa/skills at bd906f22af.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
bd906f22af
Manifest
skills/fastapi/SKILL.md
Scanned
1 file, 33 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides access to FastAPI, a modern, fast (high-performance), web framework for building APIs in Python. It allows you to quickly create and deploy robust APIs with features like automatic data validation, interactive API documentation, and asynchronous support. The skill enables the AI agent to generate, manage, and interact with FastAPI applications.

When to use it

  • API Development: Build RESTful APIs for web or mobile applications.
  • Microservices Architecture: Create individual microservices within a larger system.
  • Rapid Prototyping: Quickly develop and test API endpoints for proof-of-concept projects.
  • Data Science Projects: Expose machine learning models as scalable, accessible APIs.

Key capabilities

  • FastAPI framework integration
  • Automatic data validation
  • Interactive API documentation generation (Swagger/OpenAPI)
  • Asynchronous support for improved performance

Example prompts

  • "Create a FastAPI endpoint that returns 'Hello, world!'"
  • "Generate OpenAPI documentation for my existing FastAPI application."
  • "Build a FastAPI app with a POST endpoint to receive JSON data and return a processed response."

Tips & gotchas

  • Requires Python 3.7 or higher to be installed on the system where the agent is running.
  • Familiarity with basic Python programming concepts is helpful for understanding and customizing generated code.