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Rest Api Design

Checked
aj-geddes·vlatest·backend·MIT

Helps with REST APIs, API, design as part of developing backend services and APIs workflows.

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 aj-geddes/useful-ai-prompts --skill rest-api-design -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/rest-api-design/SKILL.md
Scanned
10 files, 559 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 helps AI agents design RESTful APIs with best practices, including defining endpoints, request/response formats, authentication methods, and versioning strategies. It ensures consistency in API structure and improves interoperability between systems.

When to use it

  • You're building a new backend service that requires a scalable API.
  • You need to document an existing API for developers or stakeholders.
  • Your team is following REST principles but wants guidance on implementation details.
  • You’re preparing for integration with third-party services and need standardized endpoints.

Key capabilities

  • Generates RESTful endpoint structures based on resource models.
  • Recommends authentication strategies (e.g., OAuth, JWT).
  • Suggests versioning techniques like URL path or header-based versioning.
  • Provides examples of request/response formats for common HTTP methods.

Example prompts

  • "Design a REST API for managing user profiles with CRUD operations."
  • "What are the best practices for securing a RESTful API?"
  • "Create an example endpoint structure for a product inventory system."

Tips & gotchas

  • Ensure your AI agent has access to detailed requirements or domain knowledge for accurate designs.
  • While this skill provides guidance, it’s important to validate generated APIs with real-world use cases and security audits.