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Model Patterns

Checked
kaakati·vlatest·backend

Helps with data modeling, patterns as part of agent workflows 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 kaakati/rails-enterprise-dev --skill model-patterns -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

kaakati

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 kaakati/rails-enterprise-dev at bd0b7c1cc3.

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

Commit
bd0b7c1cc3
Manifest
plugins/reactree-ios-dev/skills/model-patterns/SKILL.md
Scanned
3 files, 1,403 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

The model-patterns skill allows AI agents to recognize and apply common design patterns in software development, specifically within Rails applications. It helps identify recurring solutions to frequently encountered problems, promoting code reusability and maintainability. This skill can suggest appropriate patterns based on a given problem description or analyze existing code for pattern usage.

When to use it

  • Refactoring legacy code: Identify opportunities to apply design patterns to improve the structure and readability of older Rails applications.
  • Learning new Rails projects: Quickly understand the architectural choices made by developers using recognized patterns.
  • Generating boilerplate code: Automate the creation of common components by leveraging established pattern implementations.
  • Code review assistance: Help identify deviations from standard patterns or suggest alternative, more efficient solutions.

Key capabilities

  • Pattern recognition in Rails code
  • Suggestion of appropriate design patterns for given problems
  • Analysis of existing codebase to identify pattern usage
  • Generation of boilerplate code based on selected patterns

Example prompts

  • "Suggest a design pattern for handling user authentication in a Rails application."
  • "Analyze this code snippet and tell me what design pattern is being used: [code snippet]"
  • “Generate the basic structure for an Observer pattern implementation in Rails.”

Tips & gotchas

This skill requires some familiarity with common software design patterns. The quality of suggestions depends on the clarity and completeness of the problem description provided to the AI agent.