Skill UI

This masterclass framework provides a structured, end-to-end guide for scoping and planning new web projects, applications, or page designs. It systematically covers core concept definition, user experience (UX) mapping, visual design system establishment, selecting the technical architecture, and optimizing for SEO and performance. Ideal for the initial stages of development.

A comprehensive guide for implementing the raw, highly structured, and intentionally unfinished Brutalist aesthetic across web, mobile (SwiftUI, Flutter), and cross-platform applications. Learn to utilize stark borders, monospace fonts, high contrast colors, and system defaults to achieve a non-conventional, anti-polished design look.

A comprehensive guide to implementing Claymorphism, a playful and tactile UI/UX design trend. This style emphasizes soft, rounded shapes, inflated 3D volumes, and continuous curves, giving elements the look of soft clay or balloons. Learn the core principles, color palettes, and implementation techniques across CSS, SwiftUI, and Flutter.

This skill provides a hybrid, persistent, and searchable knowledge memory system specifically designed for enhancing AI agents' capabilities. It allows developers to record, retrieve, and search key knowledge, architectural decisions, and operational memories automatically. Use it to build agents with long-term context and reliable knowledge management, ensuring findings are synced back into project documentation.

This skill provides comprehensive guidance on designing complex system integrations, including event-driven architectures (EDA), webhook flows, API chaining, and robust ETL pipelines. It covers advanced patterns like Saga, Outbox, and resilience mechanisms (Idempotency, Circuit Breaker), making it ideal for connecting multiple microservices and managing asynchronous data flows.

A systematic, non-mutating investigation designed for complex software failures, including bugs, regressions, crashes, and flaky behavior. This skill launches four specialized, read-only sub-agents in parallel to perform deep root-cause analysis, trace code paths, pinpoint the smallest failing seam, and predict the quickest path to confirming or fixing the issue. It is designed purely for diagnosis and hypothesis generation.

This skill provides a comprehensive set of core UI components (e.g., Box, Button, Input, Card) and implements a structured design system. It guides developers on using design tokens (like `$textPrimary` or `$4`) instead of hard-coded values, ensuring visual consistency and scalability across applications. Ideal for any project requiring standardized, maintainable UI development.

This skill performs a comprehensive usability audit and heuristic evaluation of interactive user interfaces (UIs). It goes beyond mere visual aesthetics, assessing whether a system is intuitive, easy to learn, and functional for a first-time user. Use it when auditing complex tools, editors, or apps to ensure the user can complete primary tasks without needing extensive instructions or guidance.

A portable, framework-agnostic system designed for robust field-side observability in React or React Native apps. It establishes a strongly typed event taxonomy, ensures best-effort, non-blocking data fan-out across multiple analytics providers, and enforces consent gates for all telemetry data. This system complements synthetic testing by capturing real user vitals (LCP, INP, CLS) and behavioral events in production.

A framework-agnostic, builder-based SEO system designed for React and React Native-for-web applications. It centralizes site identity (title, description, OG tags) in a single source of truth, ensuring all metadata, canonical URLs, and structured data (JSON-LD, sitemap, robots.txt, RSS) are consistent, machine-readable, and automatically generated for every route.

This sophisticated skill is designed to locate the root cause of a confirmed software failure. It performs a systematic, semi-formal tracing process: first tracing backward from the observed failure point (using provided stack traces, assertions, or error messages) to identify the original premise, and then tracing forward to confirm the symptom. It outputs a highly structured report detailing the divergence, premises, and remedy.

This skill is designed to identify subtle and complex logic bugs within a single code file or function. It employs a semi-formal execution tracing methodology, systematically breaking down the suspected bug into five stages: Premises (expected state), Trace (execution path), Divergence (actual deviation), Trigger (reproduction case), and Remedy (fix). It is ideal for scenarios where users suspect code is wrong but cannot specify a concrete failure point.