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Fastapi Pro

Checked
rmyndharis·vlatest·backend·MIT

Fastapi Pro streamlines API development with pre-built components and optimized configurations for rapid backend creation and deployment.

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 rmyndharis/antigravity-skills --skill fastapi-pro -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Commit
3eff4af253
Manifest
skills/fastapi-pro/SKILL.md
Scanned
1 file, 192 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.
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About this skill

What it does

This FastAPI-based backend skill provides a robust framework for building high-performance asynchronous web services. It leverages Python's async capabilities to handle concurrent requests efficiently while offering built-in support for dependency injection and automatic API documentation.

When to use it

  • You need to deploy an AI agent that requires handling multiple simultaneous user interactions without latency.
  • Your project demands a scalable backend architecture capable of growing with increased traffic loads.
  • You want rapid development of RESTful APIs with auto-generated OpenAPI schemas for frontend integration.
  • You require a lightweight, production-ready server environment for hosting custom AI agent logic.

Key capabilities

  • Asynchronous request handling via Python's asyncio event loop
  • Automatic generation of interactive API documentation (Swagger UI and ReDoc)
  • Native support for dependency injection to manage complex service lifecycles
  • Built-in middleware support for logging, CORS, and custom error handling
  • Pydantic models for automatic data validation and serialization

Example prompts

  • "Create a new FastAPI project structure with endpoints for user authentication and profile management."
  • "Add async database connection logic to this agent using SQLAlchemy and configure the dependency injection system."
  • "Generate OpenAPI documentation for all existing endpoints and expose it at /docs."

Tips & gotchas

Ensure you have Python 3.7 or higher installed, as older versions lack full support for modern FastAPI features. While the framework handles concurrency well, remember that CPU-bound tasks inside async functions can still block the event loop; offload heavy processing to background workers if necessary.