Skill UI

Conversational research ideation assistant that helps scientists generate novel hypotheses, explore interdisciplinary analogies, challenge assumptions, and outline experiment pathways during early-stage planning.

A comprehensive guide for executing and reporting rigorous analyses in global environmental change (GEC) research. This skill covers norms for quantitative, qualitative, and mixed-methods studies, emphasizing honest uncertainty reporting, robust heterogeneity testing, ensuring reproducibility, and integrating multiple data strands to withstand expert, interdisciplinary review.

Provides comprehensive guidelines for designing scientific exhibits, including figures, tables, maps, and Highlights, for interdisciplinary, policy-relevant manuscripts. It emphasizes making data self-contained, focusing on the human/policy dimensions rather than just biophysical trends, and ensuring accessibility across various formats (grayscale, print).

This guide provides best practices for building self-explanatory, high-impact exhibits for interdisciplinary academic manuscripts. It covers the structured design of complex visualizations, including regression tables, bibliometric maps, event-study plots, and qualitative data structures. The goal is to ensure every figure and table carries the core innovation mechanism and is immediately interpretable by diverse readers (e.g., policymakers, managers, and economists).