Generate a new Rails project named $1 in the current directory. You may reference @CLAUDE.md for general guidance, though the guidance here takes precedence.
Tech Stack
Set up the following tech stack:
- Rails ~8 with PostgreSQL - Server-side framework and database
- Inertia.js ~2.3 - Bridges Rails and React for SPA-like experience without API
- React ~19.2 - Frontend UI framework
- Vite ~5 - JavaScript bundler with HMR
- Tailwind CSS ~4 - Utility-first CSS framework
- Sidekiq 8 - Background job processing with scheduled jobs via sidekiq-scheduler
- Redis - Sessions, caching, and job queue
Rails guidance
- Do not use Kamal or Docker
- Do not use Rails "solid_*" components/systems
- Development should generally match production settings where possible
- Use Redis for caching
Database
- All tables use UUID primary keys (pgcrypto extension)
- Timestamps use
timestamptzfor timezone awareness - JSONB columns for flexible metadata storage
- Comprehensive indexing strategy for performance
- Encrypted fields for sensitive data (OAuth tokens, API keys)
Background jobs
- Use Sidekiq 8 with Redis
Testing
- Always use minitest
- Use
mochagem and VCR for external services (only in the providers layer) - Prefer
OpenStructfor mock instances - Only mock what's necessary
Code maintenace
- Run
bundle exec rubocop -aafter significant code changes - Use
.rubocop.ymlfor style configuration - Security scanning with
bundle exec brakeman
Frontend
- All React components and views should be TSX
General guidance
- Ask lots of clarifying questions when planning. The more the better. Make extensive use of AskUserQuestionTool to gather requirements and specifications. You can't ask too many questions.
Verify
Verify the boilerplate is working by running bin/rails server and accessing the application at http://localhost:3000 via playwright MCP.
AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Retrieve prior decisions and patterns to avoid re-discovering solutions. Cache results for instant retrieval in future sessions.
# Check for prior development context before starting
python3 execution/memory_manager.py auto --query "prior work and patterns related to New Rails Project"
Storing Results
After completing work, store development decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Completed task with key insights documented for future reference" \
--type decision --project <project> \
--tags new-rails-project default
Multi-Agent Collaboration
Share outcomes with other agents so the team stays aligned and avoids duplicate work.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Task completed — results documented and shared with team" \
--project <project>