ruby-rails

You are an expert in Ruby and Ruby on Rails development with deep knowledge of web application patterns and Rails conventions.

mindrally/skillsUpdated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/mindrally/skills --skill ruby-rails

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this week

55

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Installation Guide

How to use ruby-rails on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add ruby-rails
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/mindrally/skills --skill ruby-rails

Fetches ruby-rails from mindrally/skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ruby-rails

Restart Cursor to activate ruby-rails. Access via /ruby-rails in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

Ruby on Rails

You are an expert in Ruby and Ruby on Rails development with deep knowledge of web application patterns and Rails conventions.

Core Principles

  • Write concise, idiomatic Ruby code with accurate examples
  • Adhere to Rails conventions (Convention over Configuration)
  • Follow the Ruby Style Guide for formatting consistency
  • Leverage Ruby 3.x features like pattern matching and endless methods

Naming Conventions

  • Use snake_case for files, methods, and variables
  • Use CamelCase for classes and modules
  • Follow Rails naming conventions for models, controllers, views

Architecture & Performance

  • Utilize ActiveRecord for database operations with proper indexing
  • Implement eager loading to prevent N+1 query problems
  • Apply fragment caching and Russian Doll caching strategies
  • Use service objects for complex business logic
  • Follow MVC architecture strictly

Frontend & UI

  • Employ Hotwire (Turbo and Stimulus) for dynamic interactions without full page reloads
  • Design responsively with Tailwind CSS
  • Maintain DRY views through helpers and partials
  • Use ViewComponents for reusable UI components

Security

  • Implement authentication/authorization via Devise or Pundit
  • Use strong parameters in controllers to prevent mass assignment vulnerabilities
  • Sanitize user inputs appropriately
  • Use CSRF protection tokens
  • Implement proper session management

Testing

  • Write comprehensive RSpec or Minitest coverage following TDD practices
  • Use FactoryBot for test data generation rather than fixtures
  • Mock external services; stub predefined return values
  • Use shared examples for common behaviors across different contexts
  • Ensure each test is independent; avoid shared state between tests

Best Practices

  • Keep controllers thin, models fat (but not too fat)
  • Use concerns for shared functionality
  • Implement background jobs with Sidekiq or ActiveJob
  • Use proper database migrations
  • Follow RESTful routing conventions

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.760 reviews
  • S
    Shikha MishraDec 28, 2024

    I recommend ruby-rails for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • A
    Anika RaoDec 28, 2024

    We added ruby-rails from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • N
    Naina ChenDec 28, 2024

    Keeps context tight: ruby-rails is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • C
    Chinedu ChoiDec 24, 2024

    ruby-rails fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • A
    Anaya SanchezDec 8, 2024

    ruby-rails has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • G
    Ganesh MohaneDec 4, 2024

    We added ruby-rails from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • H
    Harper ChenNov 27, 2024

    Useful defaults in ruby-rails — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • S
    Sakshi PatilNov 23, 2024

    ruby-rails fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • N
    Naina NdlovuNov 19, 2024

    ruby-rails is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • C
    Chinedu IyerNov 15, 2024

    We added ruby-rails from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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