Skill UI

Automatically activates when chart type recommender needs arise, guiding data analysts through SQL, visualization, statistics, and BI patterns to deliver production-ready recommendations.

Generates Python code and workflows for collaborative, content-based, or hybrid recommendation models, handling data prep, training, evaluation, and scalability so Claude can deliver tailored suggestions across domains.

Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar

Generates publication-ready clinical decision support documents for pharma and clinical research, covering biomarker-stratified cohort analysis, evidence-graded treatment recommendations, statistical comparisons, and regulatory-ready LaTeX/PDF outputs.

Analyzes occupational health metrics to spot work-related risks, evaluate ergonomic factors, correlate with sleep/exercise/mental data, and deliver personalized improvement recommendations plus alerts.

Processes machine learning experiment outputs to build comparison tables, compute statistics, and surface insights with recommendations for follow-up trials whenever users ask to analyze results or make comparisons.

Paperzilla is a comprehensive skill for interacting with curated academic research data. Users can query the latest project recommendations, fetch canonical papers with detailed summaries (markdown), track project feeds, and provide feedback. It allows deep analysis and export of research insights, making it essential for researchers and students needing structured academic information.