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Fastapi Clean Architecture

Checked
rafaelkamimura·vlatest·backend·MIT

This FastAPI Clean Architecture skill streamlines backend development by organizing code for maintainability and scalability, boosting project efficiency.

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 rafaelkamimura/claude-tools --skill fastapi-clean-architecture -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

rafaelkamimura

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.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned rafaelkamimura/claude-tools at 951e785d84.

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

Scanned
1 file, 884 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 a FastAPI application structured using the Clean Architecture pattern. It facilitates building robust and testable APIs, separating concerns like data access, business logic, and presentation. The architecture promotes maintainability and adaptability for evolving requirements.

When to use it

  • Building new REST APIs: Ideal for projects requiring a well-structured backend foundation.
  • Refactoring existing FastAPI applications: Helps modernize legacy codebases by applying Clean Architecture principles.
  • Creating testable API endpoints: The layered architecture simplifies unit and integration testing.
  • Projects with complex business logic: Separating concerns makes it easier to manage and reason about the application's core functionality.

Key capabilities

  • FastAPI framework implementation
  • Clean Architecture pattern
  • Separation of Concerns (Data Access, Business Logic, Presentation)
  • Testable API endpoints

Example prompts

  • "Create a new FastAPI endpoint for retrieving user data."
  • "Generate a unit test for the authentication service layer."
  • "Refactor this existing controller to adhere to Clean Architecture principles."

Tips & gotchas

This skill assumes familiarity with FastAPI and basic software architecture concepts. Understanding the core principles of Clean Architecture (e.g., dependency inversion, layered design) will be beneficial for effective utilization.