Skill UI

Guides hypothesis testing, regression, correlation, and Bayesian analyses with automated assumption checks, diagnostics, power planning, and APA-style reporting so researchers can choose proper tests, interpret effect sizes, and document academic findings.

A powerful skill designed for comprehensive academic research. It searches, aggregates, and analyzes literature from multiple sources, including Zotero, Obsidian vaults, local PDFs, and major academic databases like Semantic Scholar. Use it when performing a literature review, needing to find related work, summarizing key ideas, or conducting systematic academic research.

A comprehensive tool for generating publication-quality figures essential for Machine Learning and AI academic papers. It supports two distinct workflows: generating complex system architecture and workflow diagrams using AI (Gemini), and creating precise, data-driven visualizations (line charts, heatmaps, etc.) using standard libraries like matplotlib and seaborn. Use it when preparing any figure for a conference submission.