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Fastapi Patterns

Checked
lobbi-docs·vlatest·backend·MIT

Generates FastAPI backend code adhering to Lobbi Docs specifications, accelerating API development with structured patterns.

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 thelobbi/claude --skill fastapi-patterns -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

lobbi-docs

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 lobbi-docs/claude at 1f04f9b061.

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

Commit
1f04f9b061
Manifest
plugins/fullstack-iac/skills/fastapi-patterns/SKILL.md
Scanned
2 files, 798 lines
Copies in repo
2 — all of them scanned
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 knowledge and guidance on FastAPI patterns. It enables AI agents to understand, apply, and explain common architectural approaches within FastAPI applications. The skill helps with tasks like generating boilerplate code, suggesting best practices for API design, and debugging performance issues related to FastAPI deployments.

When to use it

  • API Development: When building new APIs using FastAPI and needing guidance on structuring the application.
  • Code Review: To review existing FastAPI codebases and identify potential improvements or adherence to established patterns.
  • Troubleshooting Performance: When experiencing performance bottlenecks in a FastAPI application, this skill can help diagnose and suggest solutions.
  • Learning FastAPI: For developers new to FastAPI who want to learn best practices and common design patterns.

Key capabilities

  • Knowledge of common FastAPI architectural patterns
  • Ability to generate boilerplate code snippets
  • Guidance on API design best practices
  • Debugging assistance for performance issues

Example prompts

  • "Show me an example of a FastAPI application using dependency injection."
  • "What are the benefits of using Pydantic models in FastAPI?"
  • "Suggest ways to improve the performance of this FastAPI endpoint: [code snippet]"

Tips & gotchas

  • This skill assumes some basic familiarity with Python and web development concepts.
  • The quality of generated code or suggestions depends on the clarity and specificity of your prompts.