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Fastapi Microservices Development

Listed
manutej·vlatest·backend

Rapidly builds scalable FastAPI microservices architectures leveraging best practices and efficient deployment strategies.

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 manutej/crush-mcp-server --skill fastapi-microservices-development -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

manutej

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No obfuscated payloads: failed

    Contains 2 obfuscated or encoded payload patterns.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

    What it found

    • .claude/skills/fastapi-microservices-development/EXAMPLES.md:1149marshal/pickle payload executed
      return pickle.loads(value)
    • .claude/skills/fastapi-microservices-development/fastapi-microservices-development/EXAMPLES.md:1149marshal/pickle payload executed
      return pickle.loads(value)
  • 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 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 manutej/crush-mcp-server at bb8eed14fe.

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

Scanned
6 files, 6,758 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 enables the creation and deployment of microservices using FastAPI, a modern, fast (high-performance), web framework for building APIs with Python. It facilitates rapid development through features like automatic data validation, interactive API documentation, and dependency injection. The skill allows agents to build scalable backend systems by breaking down complex applications into smaller, manageable services.

When to use it

  • Building RESTful APIs: When you need a quick and efficient way to create an API for your application or service.
  • Developing Microservices Architecture: For projects requiring independent deployability and scalability of individual components.
  • Rapid Prototyping: To quickly build and test backend functionality before committing to a larger project.
  • Data Validation & Processing: When you need robust data validation and transformation capabilities for your API endpoints.

Key capabilities

  • FastAPI framework usage
  • Microservice architecture design
  • RESTful API development
  • Automatic data validation
  • Interactive API documentation generation

Example prompts

  • "Create a FastAPI microservice endpoint that accepts JSON data and returns a processed response."
  • "Generate OpenAPI documentation for this FastAPI application."
  • "Build a simple user authentication microservice using FastAPI."

Tips & gotchas

  • Requires familiarity with Python programming.
  • FastAPI's asynchronous nature can impact performance if not handled correctly; consider async/await best practices.