dhh-rails-style

everyinc/compound-engineering-plugin · updated Apr 8, 2026

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$npx skills add https://github.com/everyinc/compound-engineering-plugin --skill dhh-rails-style
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summary

Rails code following 37signals conventions: REST purity, fat models, thin controllers, and clarity over cleverness.

  • Applies DHH style patterns including CRUD controllers, state-as-records instead of booleans, and Current attributes for defaults
  • Covers controllers, models, views, architecture, testing, and dependency decisions with specific naming conventions and code examples
  • Emphasizes vanilla Rails over gems: Minitest over RSpec, fixtures over factory_bot, Solid Queue over Sidekiq,
skill.md

<essential_principles>

Core Philosophy

"The best code is the code you don't write. The second best is the code that's obviously correct."

Vanilla Rails is plenty:

  • Rich domain models over service objects
  • CRUD controllers over custom actions
  • Concerns for horizontal code sharing
  • Records as state instead of boolean columns
  • Database-backed everything (no Redis)
  • Build solutions before reaching for gems

What they deliberately avoid:

  • devise (custom ~150-line auth instead)
  • pundit/cancancan (simple role checks in models)
  • sidekiq (Solid Queue uses database)
  • redis (database for everything)
  • view_component (partials work fine)
  • GraphQL (REST with Turbo sufficient)
  • factory_bot (fixtures are simpler)
  • rspec (Minitest ships with Rails)
  • Tailwind (native CSS with layers)

Development Philosophy:

  • Ship, Validate, Refine - prototype-quality code to production to learn
  • Fix root causes, not symptoms
  • Write-time operations over read-time computations
  • Database constraints over ActiveRecord validations </essential_principles>
  1. Controllers - REST mapping, concerns, Turbo responses, API patterns
  2. Models - Concerns, state records, callbacks, scopes, POROs
  3. Views & Frontend - Turbo, Stimulus, CSS, partials
  4. Architecture - Routing, multi-tenancy, authentication, jobs, caching
  5. Testing - Minitest, fixtures, integration tests
  6. Gems & Dependencies - What to use vs avoid
  7. Code Review - Review code against DHH style
  8. General Guidance - Philosophy and conventions

Specify a number or describe your task.

Response Reference to Read
1, controller references/controllers.md
2, model references/models.md
3, view, frontend, turbo, stimulus, css references/frontend.md
4, architecture, routing, auth, job, cache references/architecture.md
5, test, testing, minitest, fixture references/testing.md
6, gem, dependency, library references/gems.md
7, review Read all references, then review code
8, general task Read relevant references based on context

After reading relevant references, apply patterns to the user's code.

<quick_reference>

Naming Conventions

Verbs: card.close, card.gild, board.publish (not set_style methods)

Predicates: card.closed?, card.golden? (derived from presence of related record)

Concerns: Adjectives describing capability (Closeable, Publishable, Watchable)

Controllers: Nouns matching resources (Cards::ClosuresController)

Scopes:

  • chronologically, reverse_chronologically, alphabetically, latest
  • preloaded (standard eager loading name)
  • indexed_by, sorted_by (parameterized)
  • active, unassigned (business terms, not SQL-ish)

REST Mapping

Instead of custom actions, create new resources:

POST /cards/:id/close    → POST /cards/:id/closure
DELETE /cards/:id/close  → DELETE /cards/:id/closure
POST /cards/:id/archive  → POST /cards/:id/archival

Ruby Syntax Preferences

# Symbol arrays with spaces inside brackets
before_action :set_message, only: %i[ show edit update destroy ]

# Private method indentation
  private
    def set_message
      @message = Message.find(params[:id])
    end

# Expression-less case for conditionals
case
when params[:before].present?
  messages.page_before(params[:before])
else
  messages.last_page
end

# Bang methods for fail-fast
@message = Message.create!(params)

# Ternaries for simple conditionals
@room.direct? ? @room.users : @message.mentionees

Key Patterns

State as Records:

Card.joins(:closure)         # closed cards
Card.where.missing(:closure) # open cards

Current Attributes:

belongs_to :creator, default: -> { Current.user }

Authorization on Models:

class User < ApplicationRecord
  def can_administer?(message)
    message.creator == self || admin?
  end
end

</quick_reference>

<reference_index>

Domain Knowledge

All detailed patterns in references/:

File Topics
references/controllers.md REST mapping, concerns, Turbo responses, API patterns, HTTP caching
references/models.md Concerns, state records, callbacks, scopes, POROs, authorization, broadcasting
references/frontend.md Turbo Streams, Stimulus controllers, CSS layers, OKLCH colors, partials
references/architecture.md Routing, authentication, jobs, Current attributes, caching, database patterns
references/testing.md Minitest, fixtures, unit/integration/system tests, testing patterns
references/gems.md What they use vs avoid, decision framework, Gemfile examples
</reference_index>

<success_criteria> Code follows DHH style when:

  • Controllers map to CRUD verbs on resources
  • Models use concerns for horizontal behavior
  • State is tracked via records, not booleans
  • No unnecessary service objects or abstractions
  • Database-backed solutions preferred over external services
  • Tests use Minitest with fixtures
  • Turbo/Stimulus for interactivity (no heavy JS frameworks)
  • Native CSS with modern features (layers, OKLCH, nesting)
  • Authorization logic lives on User model
  • Jobs are shallow wrappers calling model methods </success_criteria>

Important Disclaimers:

  • LLM-generated guide - may contain inaccuracies
  • Code examples from Fizzy are licensed under the O'Saasy License
  • Not affiliated with or endorsed by 37signals
how to use dhh-rails-style

How to use dhh-rails-style 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 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 dhh-rails-style
2

Execute installation command

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

$npx skills add https://github.com/everyinc/compound-engineering-plugin --skill dhh-rails-style

The skills CLI fetches dhh-rails-style from GitHub repository everyinc/compound-engineering-plugin and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/dhh-rails-style

Reload or restart Cursor to activate dhh-rails-style. Access the skill through slash commands (e.g., /dhh-rails-style) 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

GET_STARTED →

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

  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

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.748 reviews
  • Ava Martin· Dec 28, 2024

    Registry listing for dhh-rails-style matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Soo Jain· Dec 16, 2024

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

  • Ren Huang· Dec 12, 2024

    dhh-rails-style reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yash Thakker· Nov 27, 2024

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

  • William Li· Nov 19, 2024

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

  • Aanya Gill· Nov 15, 2024

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

  • William Wang· Nov 7, 2024

    dhh-rails-style reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yusuf Martinez· Nov 3, 2024

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

  • Evelyn Sethi· Oct 26, 2024

    Registry listing for dhh-rails-style matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Fatima Singh· Oct 22, 2024

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

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