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.
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Write Ruby gems following Andrew Kane's proven patterns and philosophy. Use when creating new Ruby gems, refactoring existing gems, designing gem APIs, or when the user wants clean, minimal, production-ready Ruby library code. Triggers on requests like "create a gem", "write a Ruby library", "design a gem API", or mentions of Andrew Kane's style.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Write Ruby gems following Andrew Kane's battle-tested patterns from 100+ gems with 374M+ downloads (Searchkick, PgHero, Chartkick, Strong Migrations, Lockbox, Ahoy, Blazer, Groupdate, Neighbor, Blind Index).
Simplicity over cleverness. Zero or minimal dependencies. Explicit code over metaprogramming. Rails integration without Rails coupling. Every pattern serves production use cases.
Every gem follows this exact pattern in lib/gemname.rb:
# 1. Dependencies (stdlib preferred)
require "forwardable"
# 2. Internal modules
require_relative "gemname/model"
require_relative "gemname/version"
# 3. Conditional Rails (CRITICAL - never require Rails directly)
require_relative "gemname/railtie" if defined?(Rails)
# 4. Module with config and errors
module GemName
class Error < StandardError; end
class InvalidConfigError < Error; end
class << self
attr_accessor :timeout, :logger
attr_writer :client
end
self.timeout = 10 # Defaults set immediately
end
The signature Kane pattern—single method call configures everything:
# Usage
class Product < ApplicationRecord
searchkick word_start: [:name]
end
# Implementation
module GemName
module Model
def gemname(**options)
unknown = options.keys - KNOWN_KEYWORDS
raise ArgumentError, "unknown keywords: #{unknown.join(", ")}" if unknown.any?
mod = Module.new
mod.module_eval do
define_method :some_method do
# implementation
end unless method_defined?(:some_method)
end
include mod
class_eval do
cattr_reader :gemname_options, instance_reader: false
class_variable_set :@@gemname_options, options.dup
end
end
end
end
Always use ActiveSupport.on_load—never require Rails gems directly:
# WRONG
require "active_record"
ActiveRecord::Base.include(MyGem::Model)
# CORRECT
ActiveSupport.on_load(:active_record) do
extend GemName::Model
end
# Use prepend for behavior modification
ActiveSupport.on_load(:active_record) do
ActiveRecord::Migration.prepend(GemName::Migration)
end
Use class << self with attr_accessor, not Configuration objects:
module GemName
class << self
attr_accessor :timeout, :logger
attr_writer :master_key
end
def self.master_key
@master_key ||= ENV["GEMNAME_MASTER_KEY"]
end
self.timeout = 10
self.logger = nil
end
Simple hierarchy with informative messages:
module GemName
class Error < StandardError; end
class ConfigError < Error; end
class ValidationError < Error; end
end
# Validate early with ArgumentError
def initialize(key:)
raise ArgumentError, "Key must be 32 bytes" unless key&.bytesize == 32
end
# test/test_helper.rb
require "bundler/setup"
Bundler.require(:default)
require "minitest/autorun"
require "minitest/pride"
# test/model_test.rb
class ModelTest < Minitest::Test
def test_basic_functionality
assert_equal expected, actual
end
end
Zero runtime dependencies when possible:
Gem::Specification.new do |spec|
spec.name = "gemname"
spec.version = GemName::VERSION
spec.required_ruby_version = ">= 3.1"
spec.files = Dir["*.{md,txt}", "{lib}/**/*"]
spec.require_path = "lib"
# NO add_dependency lines - dev deps go in Gemfile
end
method_missing (use define_method instead)@@class_variables (use class << self)For deeper patterns, see:
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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.
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How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.
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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.
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Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.
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This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
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Unified analysis pipeline for affinity-based proteomics platforms — Olink (PEA, NPX) and SomaLogic SomaScan (SOMAmer, RFU). Platform-aware QC, normalisation, differential abundance, volcano plots, heatmaps, and PCA.
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