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Using Rails Ai

Checked
zerobearing2·vlatest·backend·MIT

Automates Rails application development tasks like scaffolding, testing, and refactoring using AI code generation and optimization.

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 zerobearing2/rails-ai --skill using-rails-ai -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

zerobearing2

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 zerobearing2/rails-ai at 8ece0d4398.

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

Scanned
1 file, 315 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 allows AI agents to interact with and manage Rails applications. It can generate code snippets, debug existing code, and provide explanations of Rails concepts and best practices. The agent can also assist in tasks like setting up a new Rails project or deploying an application.

When to use it

  • You need help generating boilerplate code for a new Rails controller or model.
  • You're debugging a Ruby on Rails application and require assistance understanding error messages or identifying the root cause of issues.
  • You want to understand specific aspects of the Rails framework, such as Active Record associations or routing conventions.
  • You need help with deploying a Rails application to a production environment.

Key capabilities

  • Code generation for common Rails tasks
  • Debugging assistance and error explanation
  • Explanations of Rails concepts and best practices
  • Deployment guidance

Example prompts

  • "Generate a Rails model for 'Product' with attributes: name, description, price."
  • "Explain how Active Record associations work in Rails."
  • "I’m getting a NoMethodError. Can you help me debug this code?"
  • “How do I deploy a rails app to Heroku?”

Tips & gotchas

The agent's effectiveness relies on providing clear and specific instructions regarding the desired outcome or problem being addressed within the Rails application context. A basic understanding of Ruby and web development principles is helpful for interpreting the agent’s responses.