Skill UI

This tool provides a comprehensive overview of your project's memory usage across all associated memory systems. It reports metrics such as line counts, topic file counts, capacity limits, stale entries, and actionable recommendations to help maintain memory integrity and optimize performance.

A comprehensive, scored audit tool for evaluating landing pages across critical conversion dimensions. It analyzes above-fold clarity, trust signals, form friction, message match, mobile UX, and page speed. The output provides actionable, prioritized fixes and detailed recommendations to systematically boost your conversion rate.

A structured tool for running A/B tests on marketing content variations. It allows users to compare different approaches—such as headline styles, CTA phrasing, or overall content strategies—by logging variants and evaluating them against technical quality scores (e.g., hallucination, readability). The system provides a comprehensive analysis, identifying a statistically grounded winner and offering actionable recommendations for content improvement.

A comprehensive guide for revising academic papers in recommendation systems (RecSys). It covers best practices for structuring the first page, ensuring rigorous evaluation protocols (e.g., temporal splits, equal-budget baselines), and avoiding methodological overclaims, helping authors meet the standards of top-tier AI conferences.

This skill converts free-text radiology narratives (CT, MRI, X-ray, etc.) into structured, machine-readable data. It automatically identifies and segments key report sections (Technique, Findings, Impression) and extracts critical clinical details such as anatomy, measurements, laterality, BI-RADS/Lung-RADS scores, and follow-up recommendations. It is crucial for building structured medical records and decision support systems.

A systematic methodology for solving complex, multi-domain, or high-stakes problems where a single mental model creates blind spots. This process guides users to select 2-3 complementary models, assign distinct roles, define a conflict rule, and synthesize findings into a single, decision-ready recommendation.