Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation, refactoring requests, code review, or when the user mentions DHH, 37signals, Basecamp, HEY, or Campfire style. Embodies REST purity, fat models, thin controllers, Current attributes, Hotwire patterns, and the "clarity over cleverness" philosophy.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Write Ruby and Rails code following DHH's philosophy: clarity over cleverness, convention over configuration, developer happiness above all.
index, show, new, create, edit, update, destroyclass MessagesController < ApplicationController
before_action :set_message, only: %i[ show edit update destroy ]
def index
@messages = @room.messages.with_creator.last_page
fresh_when @messages
end
def show
end
def create
@message = @room.messages.create_with_attachment!(message_params)
@message.broadcast_create
end
private
def set_message
@message = @room.messages.find(params[:id])
end
def message_params
params.require(:message).permit(:body, :attachment)
end
end
Indent private methods one level under private keyword:
private
def set_message
@message = Message.find(params[:id])
end
def message_params
params.require(:message).permit(:body)
end
Models own business logic, authorization, and broadcasting:
class Message < ApplicationRecord
belongs_to :room
belongs_to :creator, class_name: "User"
has_many :mentions
scope :with_creator, -> { includes(:creator) }
scope :page_before, ->(cursor) { where("id < ?", cursor.id).order(id: :desc).limit(50) }
def broadcast_create
broadcast_append_to room, :messages, target: "messages"
end
def mentionees
mentions.includes(:user).map(&:user)
end
end
class User < ApplicationRecord
def can_administer?(message)
message.creator == self || admin?
end
end
Use Current for request context, never pass current_user everywhere:
class Current < ActiveSupport::CurrentAttributes
attribute :user, :session
end
# Usage anywhere in app
Current.user.can_administer?(@message)
# Symbol arrays with spaces inside brackets
before_action :set_message, only: %i[ show edit update destroy ]
# Modern hash syntax exclusively
params.require(:message).permit(:body, :attachment)
# Single-line blocks with braces
users.each { |user| user.notify }
# Ternaries for simple conditionals
@room.direct? ? @room.users : @message.mentionees
# Bang methods for fail-fast
@message = Message.create!(params)
@message.update!(message_params)
# Predicate methods with question marks
@room.direct?
user.can_administer?(@message)
@messages.any?
# Expression-less case for cleaner conditionals
case
when params[:before].present?
@room.messages.page_before(params[:before])
when params[:after].present?
@room.messages.page_after(params[:after])
else
@room.messages.last_page
end
| Element | Convention | Example |
|---|---|---|
| Setter methods | set_ prefix | set_message, set_room |
| Parameter methods | {model}_params | message_params |
| Association names | Semantic, not generic | creator not user |
| Scopes | Chainable, descriptive | with_creator, page_before |
| Predicates | End with ? | direct?, can_administer? |
Broadcasting is model responsibility:
# In model
def broadcast_create
broadcast_append_to room, :messages, target: "messages"
end
# In controller
@message.broadcast_replace_to @room, :messages,
target: [ @message, :presentation ],
partial: "messages/presentation",
attributes: { maintain_scroll: true }
Rescue specific exceptions, fail fast with bang methods:
def create
@message = @room.messages.create_with_attachment!(message_params)
@message.broadcast_create
rescue ActiveRecord::RecordNotFound
render action: :room_not_found
end
| Traditional | DHH Way |
|---|---|
| PostgreSQL | SQLite (for single-tenant) |
| Redis + Sidekiq | Solid Queue |
| Redis cache | Solid Cache |
| Kubernetes | Single Docker container |
| Service objects | Fat models |
| Policy objects (Pundit) | Authorization on User model |
| FactoryBot | Fixtures |
For comprehensive patterns and examples, see:
references/patterns.md - Complete code patterns with explanationsreferences/resources.md - Links to source material and further readingまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
日本語の概要は準備中です。原文の説明を表示しています。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。