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…
Analyze Rails apps and provide upgrade assessments
Commit, rebase, and merge the current branch.
Rebase the current branch with smart conflict resolution.
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
Automate Raisely tasks via Rube MCP (Composio).
Create, inspect, validate, explain, and improve Ralph hat collections.
Explain the Ralph Loop plugin, how it works, and available skills.
Run an autonomous, iterative development loop using the Ralph Wiggum technique.
Run a sequential three-tier code review on a finished implementation branch — Haiku (surface) → Sonnet (logic) → Opus (deep).
Manage tasks across GitHub and Linear with ralph-starter
Consensus-driven implementation planning via strict Planner/Architect/Critic iteration.
Consensus planning entrypoint that auto-gates vague ralph/autopilot/team requests before execution
Ramp cost tuning \u2014 corporate card and expense management API integration.\n\
Ramp migration deep dive \u2014 corporate card and expense management\
Ramp performance tuning \u2014 corporate card and expense management\
Ramp reference architecture \u2014 corporate card and expense management\
Ramp sdk patterns \u2014 corporate card and expense management API integration.\n\
Run accessibility and visual design review
Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.