Skill UI

A comprehensive technical module covering foundational deep learning principles and cutting-edge computer vision architectures, drawing from Yann LeCun's research. Topics include CNN fundamentals, backpropagation theory, and advanced self-supervised learning (SSL) models such as SimCLR, MAE, and the modern Joint Embedding Predictive Architecture (JEPA). Provides detailed theoretical explanations and complete PyTorch code for implementation.

This expert skill performs non-intrusive static analysis to thoroughly audit AI skills and bundles. It identifies malicious patterns, data leaks, system stability risks, and obfuscated payloads across major operating systems (Windows, macOS, Linux/Unix) and mobile platforms (Android/iOS). Use it when verifying skill legitimacy or performing deep cross-platform security reviews.

A comprehensive strategic framework designed to guide businesses in creating uncontested market space (blue oceans). It teaches the simultaneous pursuit of differentiation and low cost through concepts like Value Innovation, utilizing tools such as the Strategy Canvas and the Four Actions Framework (ERRC) to move beyond saturated 'red oceans'.

This framework provides a systematic methodology for engineering virality, moving beyond luck to design shareable products, ideas, and content. It utilizes the STEPPS model (Social Currency, Triggers, Emotion, Public, Practical Value, Stories) to systematically increase the likelihood of organic sharing and word-of-mouth marketing. Use it when optimizing for shareability or predicting user adoption patterns.

A scientific, customer-centric framework for systematically improving conversion rates on websites and landing pages. This methodology guides users through funnel mapping, identifying core visitor objections, and conducting evidence-based A/B testing. It is essential for auditing underperforming funnels, optimizing checkout flows, and transforming general marketing hypotheses into measurable, statistically significant improvements.

A strategic framework detailing how to successfully market and sell disruptive technology products. This guide explains the critical gap (the 'chasm') between early adopters and the mainstream market (early majority). It provides actionable steps—such as identifying a beachhead market, developing a whole product, and refining positioning—to ensure successful product adoption and commercial success.

This framework analyzes foundational design principles—such as affordances, signifiers, and conceptual models—to create products that are highly intuitive and discoverable. It guides analysis by bridging the 'Gulf of Execution' and the 'Gulf of Evaluation.' Use this when diagnosing confusing user interfaces, poor usability, or needing to ensure a product is robustly human-centered and easy to understand.

A comprehensive 5-day, structured process (Map, Sketch, Decide, Prototype, Test) for rapidly testing and validating product ideas using real users. Developed by Google Ventures, this framework helps teams de-risk major product decisions by moving beyond endless debate to actionable, validated insights in a single week. Ideal for startups and established teams facing critical business challenges.

This comprehensive framework guides the design of sustainable motivation systems for products and teams, shifting focus from outdated 'carrot-and-stick' rewards to intrinsic drivers: Autonomy, Mastery, and Purpose (AMP). It provides deep insights into how to build engaging, lasting user loops and organizational incentives that foster genuine engagement and high performance, especially when traditional gamification fails.

This framework outlines the 'Hook Model' (Trigger, Action, Variable Reward, Investment) for building deeply engaging, habit-forming product loops. It guides designers in optimizing user retention, understanding behavioral psychology, and structuring product features to move users from deliberate usage to automatic, routine behavior. Use it for onboarding, feature design, and improving long-term user stickiness.

This framework teaches how to create "Grand Slam Offers"—packages so valuable that rejection feels foolish. It guides users to optimize the perceived value using the Value Equation (Dream Outcome, Likelihood, Time Delay, Effort). Learn how to strategically bundle core products with bonuses, guarantees, and scarcity mechanisms to eliminate price comparison and achieve market dominance.

This skill provides a comprehensive framework for designing and reviewing native iOS applications. It covers adherence to Apple's Human Interface Guidelines (HIG), ensuring consistency across layout, typography, safe areas, and system components (e.g., Dynamic Island). Use this when building or reviewing SwiftUI/UIKit code to guarantee the app feels intuitive, highly polished, and genuinely native to the Apple ecosystem.