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Fastapi Expert

Checked
hainamchung·vlatest·backend·MIT

This FastAPI Expert skill provides advanced knowledge and guidance for building robust APIs quickly using FastAPI, streamlining your backend development.

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 hainamchung/agent-assistant --skill fastapi-expert -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

hainamchung

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 hainamchung/agent-assistant at 89cb983bb4.

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

Commit
89cb983bb4
Manifest
skills/fastapi-expert/SKILL.md
Scanned
7 files, 1,752 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 expert assistance with FastAPI, a modern, fast (high-performance), web framework for building APIs with Python. It can help you debug existing code, generate new API endpoints based on specifications, and optimize your FastAPI applications for performance. The agent will leverage its knowledge of FastAPI's features and best practices to provide accurate and helpful responses.

When to use it

  • Debugging: You’re encountering errors in your FastAPI application and need help identifying the root cause.
  • API Endpoint Generation: You have a data model or API specification (e.g., OpenAPI/Swagger) and want the agent to generate corresponding FastAPI code.
  • Performance Optimization: Your FastAPI application is slow, and you're seeking advice on how to improve its speed and efficiency.
  • Code Review: You need an expert opinion on your existing FastAPI codebase for best practices or potential improvements.

Key capabilities

  • FastAPI Code Generation
  • FastAPI Debugging Assistance
  • Performance Optimization Guidance
  • OpenAPI/Swagger Integration

Example prompts

  • "I'm getting a 500 error in my FastAPI application. Can you help me debug it? Here’s the traceback…"
  • "Generate a FastAPI endpoint for creating users, with fields for name and email."
  • “How can I optimize this FastAPI route for faster response times?”

Tips & gotchas

  • The agent's effectiveness is dependent on providing clear and concise code snippets or API specifications. Larger codebases may require iterative debugging sessions.