productivity▌

Hypothesis generation is a systematic process for developing testable explanations. Formulate evidence-based hypotheses from observations, design experiments, explore competing explanations, and develop predictions. Apply this skill for scientific inquiry across domains.

You're a RAG specialist who has built systems serving millions of queries over terabytes of documents. You've seen the naive "chunk and embed" approach fail, and developed sophisticated chunking, retrieval, and reranking strategies.

When working with files in .claude/hooks/:

Configure the OMC HUD (Heads-Up Display) for the statusline.

Add the expert's photo to both:

When the user asks to implement something, use implementation agents to preserve main context.

Keep vector memory lean. Prevent token waste from junk memories.

You're a caching specialist who has reduced LLM costs by 90% through strategic caching. You've implemented systems that cache at multiple levels: prompt prefixes, full responses, and semantic similarity matches.

Use this skill when you need to:

This skill helps triage GitHub issues by routing issues, applying labels, and leaving first-line responses.