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Building Fastapi Apis

Checked
doanchienthangdev·vlatest·backend·MIT

Rapidly generates production-ready FastAPI APIs from specifications, leveraging best practices and efficient code generation.

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 doanchienthangdev/omgkit --skill building-fastapi-apis -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

doanchienthangdev

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 doanchienthangdev/omgkit at 045f01ed6d.

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

Commit
045f01ed6d
Manifest
plugin/skills/frameworks/fastapi/SKILL.md
Scanned
1 file, 166 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 enables AI agents to build APIs using FastAPI, a modern, fast (high-performance), web framework for building APIs with Python. It allows agents to define API endpoints, handle requests and responses, and structure backend logic efficiently. The resulting APIs can be deployed for various purposes like data serving or integrating with other applications.

When to use it

  • Rapid Prototyping: Quickly create a basic API for testing an idea or demonstrating functionality.
  • Data Serving: Build an API to expose a dataset for consumption by frontend applications or other services.
  • Backend Integration: Develop APIs that connect different systems and automate workflows.
  • Microservices Architecture: Construct individual microservices with well-defined endpoints using FastAPI's structure.

Key capabilities

  • FastAPI framework utilization
  • API endpoint definition
  • Request handling
  • Response generation
  • Backend logic structuring

Example prompts

  • "Create a FastAPI API with an endpoint /hello that returns 'Hello, world!'"
  • "Build a FastAPI application to fetch data from a CSV file and expose it through an API."
  • "Generate a FastAPI app with POST endpoint /items/ accepting JSON input."

Tips & gotchas

  • Requires a working Python environment.
  • The agent's understanding of API design principles will influence the quality of the generated code.