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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
Quality
Evals
Security
Files

workflow.mdskills/infrastructure/rails-database-seeding/references/

Seeding Workflow

Step-by-step process for setting up seed data.

New Development Environment

Step 1: Migrate Database

rails db:create db:migrate

Step 2: Run Seeds

rails db:seed

Step 3: Verify in Console

rails console

User.count    # Expect > 0
Post.count    # Expect > 0

Step 4: Handle Failures

If seeds fail:

  1. Check logs: tail -f log/development.log
  2. Fix validation errors
  3. Re-run: rails db:seed (idempotent - safe to repeat)
  4. For stuck state: rails db:reset

Adding New Seed Data

  1. Add to db/seeds.rb using find_or_create_by!
  2. Test locally: rails db:seed
  3. For large datasets, use db/seeds/development.rb
  4. Document in README if non-standard

Production Seeds

⚠️ Never run development seeds in production

# Only run base seeds in production
RAILS_ENV=production rails db:seed

Production seeds should only contain:

  • Essential reference data
  • First admin user (if needed)
  • System configurations

skills

infrastructure

rails-database-seeding

references

workflow.md

EXAMPLES.md

SKILL.md

README.md

tile.json