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igmarin/rails-agent-skills

Curated library of 39 AI agent skills for Ruby on Rails development. Organized by category: planning, testing, code-quality, ddd, engines, infrastructure, api, patterns, context, orchestration, and workflows. Includes 5 callable workflow skills (rails-tdd-loop, rails-review-flow, rails-setup-flow, rails-quality-flow, rails-engines-flow) for complete development cycles. Covers code review, architecture, security, testing (RSpec), engines, service objects, DDD patterns, and TDD automation.

95

1.20x
Quality

98%

Does it follow best practices?

Impact

95%

1.20x

Average score across 35 eval scenarios

SecuritybySnyk

Passed

No known issues

Overview
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Files

SKILL.mdskills/infrastructure/rails-database-seeding/

name:
rails-database-seeding
license:
MIT
description:
Manage development and test data in Rails. Covers fixtures vs seeds, seeding strategies for different environments, test data factories, and production-like data generation. Trigger words: seeds, fixtures, seeding, database seed, test data, development data, db:seed.

Rails Database Seeding

Manage development and test data effectively.

Files: SKILL.md · EXAMPLES.md · references/workflow.md

HARD-GATE

NEVER commit production data to seeds
ALWAYS use factories for test-specific scenarios
ALWAYS make seeds idempotent (can run multiple times safely)

Quick Reference

UseSolution
Static reference datadb/seeds.rb with find_or_create_by!
Test scenariosFactoryBot in spec/factories/
Complex relationshipsBoth combined

Seeding Workflow

  1. Write idempotent seeds — use find_or_create_by! so re-runs are safe.
  2. Scope by environment — guard non-production data with Rails.env checks.
  3. Run seeds — execute rails db:seed (or rails db:setup for a fresh database).
  4. Validate idempotency — run rails db:seed a second time and confirm no duplicates or errors.
  5. Verify data — open rails console and spot-check expected records exist with correct attributes.

See references/workflow.md for the complete seeding workflow.

Idempotent Seeds

# db/seeds.rb
admin = User.find_or_create_by!(email: 'admin@example.com') do |u|
  u.password = 'password'
  u.admin = true
end

Environment-Specific Seeds

# db/seeds.rb
if Rails.env.development?
  require Rails.root.join('db/seeds/development')
elsif Rails.env.test?
  require Rails.root.join('db/seeds/test')
end

# db/seeds/development.rb
10.times do
  User.find_or_create_by!(email: Faker::Internet.unique.email) do |u|
    u.password = 'password'
  end
end

FactoryBot Factory Example

# spec/factories/users.rb
FactoryBot.define do
  factory :user do
    email { Faker::Internet.unique.email }
    password { 'password' }

    trait :admin do
      admin { true }
    end
  end
end

# Usage in specs
create(:user, :admin)

Examples

See EXAMPLES.md for complete examples including:

  • Environment-specific seed structure
  • FactoryBot factories with traits
  • Idempotent seed patterns
  • Troubleshooting common issues

External References

  • FactoryBot documentation
  • Faker gem
  • Rails Seeding Guide

skills

infrastructure

rails-database-seeding

EXAMPLES.md

SKILL.md

README.md

tile.json