This skill provides a structured framework for the scientific method, enabling researchers to transform raw observations into robust, evidence-based hypotheses. It automates literature searches across PubMed and the web to synthesize existing evidence, identifies mechanistic pathways, and evaluates explanation quality using standardized criteria like falsifiability and parsimony. Beyond ideation, the skill generates detailed experimental designs, testable predictions, and professional LaTeX research reports complete with AI-generated scientific schematics, making it an essential tool for systematic inquiry, academic research, and experimental planning.
주요 기능
01Systematic quality evaluation for testability and parsimony
020 GitHub stars
03Mechanistic explanation modeling for complex scientific phenomena
04Professional LaTeX report generation with structured hypothesis frameworks
05Automated literature synthesis via PubMed and web search integration
06Integrated AI-powered generation of publication-quality scientific schematics
