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Rails Architecture

Checked
thibautbaissac·vlatest·backend·MIT

This skill provides guidance on building robust Rails applications using best practices and architectural patterns for scalable and maintainable code.

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 thibautbaissac/rails_ai_agents --skill rails-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

thibautbaissac

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 thibautbaissac/rails_ai_agents at 03622f23b4.

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

Commit
03622f23b4
Manifest
.agents/skills/rails-architecture/SKILL.md
Scanned
12 files, 3,636 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 allows AI agents to understand and reason about Rails application architecture. It can analyze code, identify components, and explain the relationships between different parts of a Rails system. The agent is capable of describing MVC patterns within a Rails app and explaining how controllers, views, and models interact.

When to use it

  • Debugging: When encountering issues in a Rails application, this skill can help pinpoint architectural bottlenecks or design flaws contributing to the problem.
  • Code Review: Use it to analyze new code contributions for adherence to established architectural patterns within a Rails project.
  • Onboarding: New developers joining a team can leverage this skill to quickly grasp the overall structure and organization of an existing Rails application.
  • Refactoring Planning: Before undertaking significant refactoring efforts, use this skill to assess the current architecture and identify potential areas for improvement.

Key capabilities

  • Understanding MVC patterns in Rails applications.
  • Analyzing code to identify controllers, views, and models.
  • Explaining relationships between components within a Rails system.
  • Identifying architectural design flaws.

Example prompts

  • "Explain the architecture of this Rails application." (followed by providing relevant code)
  • "How do the controllers and views interact in this Rails project?"
  • “What are some potential architectural issues with this model?”

Tips & gotchas

To get the most accurate results, provide the agent with sufficient context, such as specific files or code snippets. The skill's effectiveness depends on the clarity and organization of the underlying Rails codebase.