Using Rails Ai
CheckedAutomates 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
Run this in your project
terminal$ npx skills add zerobearing2/rails-ai --skill using-rails-ai -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- 8ece0d4398
- Manifest
- skills/using-rails-ai/SKILL.md
- Scanned
- 1 file, 315 lines
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.