Query expansion, HyDE, and multi-query generation for improved retrieval
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
When to activate: RAG, retrieval augmented generation, LangChain, LlamaIndex, vector stores, embeddings, retrieval, chunking, reranking…
Use when active Record patterns including models, associations, queries, validations, and callbacks.
Creates Rails models using TDD approach - spec first, then migration, then model.
Railway deployment via GraphQL API and GitHub integration.
Manages PostgreSQL databases on Railway including automated provisioning, migrations, ORM integration, and backup workflows.
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
Create, inspect, validate, explain, and improve Ralph hat collections.
Explain the Ralph Loop plugin, how it works, and available skills.
Run a sequential three-tier code review on a finished implementation branch — Haiku (surface) → Sonnet (logic) → Opus (deep).
Consensus-driven implementation planning via strict Planner/Architect/Critic iteration.
Consensus planning entrypoint that auto-gates vague ralph/autopilot/team requests before execution
Ramp performance tuning \u2014 corporate card and expense management\
Ramp reference architecture \u2014 corporate card and expense management\
Run accessibility and visual design review
Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Build AI phone agents with AgentPhone API.
Automate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings…