Skill UI

ClickHouse database patterns for high-performance analytics, including table design, query optimization, bulk inserts, materialized views, and performance monitoring.

This skill provides specialized guidance and structured patterns for conducting scientific research and analysis tasks. It helps users formulate hypotheses, design experiments, analyze data, and interpret results within a scientific context. Use this when the task involves rigorous scientific methodology, literature review, or technical analysis requiring expert-level reasoning. It is not a substitute for professional validation or safety checks.

This skill processes raw, unstructured materials (e.g., conversations, reports, controversies) into highly structured, reusable casebook entries. It focuses on identifying core facts, defining mechanism chains, and mapping responsibility links while ensuring rigorous data anonymization. It is designed for deep knowledge management and pattern recognition, helping users build a reliable, reusable knowledge base for future professional analysis, rather than generating immediate advice.

Design scalable, reliable and cost-effective batch and streaming data pipelines. Covers ETL/ELT, Lambda, Kappa and Lakehouse patterns, Airflow/Prefect orchestration, dbt and Spark transformations, Delta Lake/Iceberg storage, data quality checks and cost optimization.