ruby-rails▌
mindrally/skills · updated Apr 8, 2026
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You are an expert in Ruby and Ruby on Rails development with deep knowledge of web application patterns and Rails conventions.
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
How to use ruby-rails on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ruby-rails
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ruby-rails from GitHub repository mindrally/skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ruby-rails. Access the skill through slash commands (e.g., /ruby-rails) or your agent's skill management interface.
Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★60 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
I recommend ruby-rails for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anika Rao· Dec 28, 2024
We added ruby-rails from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Naina Chen· Dec 28, 2024
Keeps context tight: ruby-rails is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chinedu Choi· Dec 24, 2024
ruby-rails fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anaya Sanchez· Dec 8, 2024
ruby-rails has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ganesh Mohane· Dec 4, 2024
We added ruby-rails from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Harper Chen· Nov 27, 2024
Useful defaults in ruby-rails — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 23, 2024
ruby-rails fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Naina Ndlovu· Nov 19, 2024
ruby-rails is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chinedu Iyer· Nov 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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