Skill UI

This technical skill covers Yann LeCun's methodologies including CNNs, LeNet, backpropagation, JEPA, AMI, Self-Supervised Learning, and Energy-Based Models. It provides complete PyTorch code implementation. Use this for specialized AI tasks requiring deep learning expertise.

Builds a lightweight employee gamification setup with points, badges, levels and leaderboards. Recommends the smallest useful design, then generates CSV, SQL, JSON or Notion artifacts on request. Holds no real employee data.

This skill helps identify explanatory attributes or hypotheses for variations in process metrics such as duration, waiting time, utilization, and rework. It involves checking metadata correlations, statistical evidence, and cohort comparisons to distinguish competing explanations. The method emphasizes evidence-based analysis, avoiding silent assumptions, and framing findings as testable hypotheses rather than definitive causal claims. It supports structured investigation of process efficiency and bottlenecks using specific analytical tools and frozen baseline scopes.

Design and review MyBatis mappers with XML/annotation SQL, result mapping, dynamic SQL safety, transactions, batching, pagination, and query performance for Java/Spring persistence.

End-to-end organization of Power BI or Analysis Services semantic models to be report-ready: table groups, display folders, Title Case naming conventions, hierarchies, sort-by columns, hiding, descriptions, format strings, perspectives, translations and security roles.

Build iPhone app screens that feel truly native: tab bars, navigation stacks, sheets, Dynamic Type, dark mode, permissions, paywalls and empty states across SwiftUI, UIKit, React Native, Expo and Flutter.

Use difyctl to discover and run operations on a Dify server, and build, test, publish, and modify Workflow and Chatflow apps through a dynamic command catalog.