Skill UI

An internal, language-agnostic probe designed for investigating complex stack traces when the source language is unknown. It analyzes the provided trace to output structured, language-neutral elements, including failure contract checks, minimal reproduction guidance, and specific patch targets. This tool is vital for robust failure analysis and debugging across diverse codebases.

An internal utility designed for deep investigation of JavaScript or TypeScript stack traces. It analyzes complex runtime errors, providing specific checks for asynchronous boundaries, module resolution issues, JSON parsing failures, and type contract violations. It aids developers by generating minimal reproduction commands and identifying potential patch targets for robust error handling.

This comprehensive guide and tool suite transforms web designs created in Stitch (HTML/CSS) into clean, production-ready React Native components. It meticulously maps HTML elements (like <div>, <button>) to native RN primitives (View, Pressable) and converts complex CSS styles (Flexbox, typography, shadows) into React Native's StyleSheet.create(). It guides developers to follow architectural best practices, including Atomic Design and data decoupling, for scalable cross-platform mobile development.

This skill guides the design of statistically rigorous A/B tests for optimizing product features, UI/UX changes, onboarding flows, and pricing models. It generates a complete test plan, including formulating hypotheses, calculating required sample sizes, estimating test duration, defining primary and guardrail metrics, and providing a detailed guide on interpreting results (ship, iterate, or reject).

This comprehensive canvas guides teams through developing robust AI-powered features. It ensures product decisions are rigorous by covering problem definition, model selection (LLM, RAG, etc.), data governance, evaluation metrics, user experience design (including fallbacks), and responsible AI compliance. Ideal for assessing AI readiness and preventing common product failures.

This skill generates comprehensive, production-ready database schema documents. It covers Entity-Relationship (ER) diagrams, detailed SQL DDL definitions, constraint analysis, index strategies, and access pattern optimization. Use it when designing a new database, documenting an existing one, or modeling complex data relationships for engineering review.

This advanced skill provides highly structured and actionable feedback on any digital or physical design. It applies professional UX frameworks, including Nielsen's Heuristics, Gestalt principles, and Jobs-to-be-Done (JTBD), to evaluate usability, identify critical issues, and provide prioritized, specific recommendations. Ideal for reviewing wireframes, UI screens, user flows, and assessing product completeness.

This skill transforms vague feature briefs or Product Requirement Documents (PRDs) into highly structured design handoff briefs. It ensures designers have comprehensive context before starting work, including the core user goal, emotional context, critical technical constraints, necessary edge cases, and clear scope boundaries, preventing misdirection and scope creep.

This skill provides a comprehensive, structured audit of any design system. It assesses component coverage gaps against production UI, monitors design token consistency (color, spacing, typography), evaluates documentation quality, and checks for accessibility compliance. The output includes an overall health score and a prioritized remediation roadmap, making it essential for design leadership and engineering teams maintaining shared component libraries.

This skill generates a comprehensive discovery call brief designed for sales professionals. Users input prospect details and product info, and the AI outputs a structured guide including market research summaries, hypotheses about pain points, deep-dive questioning frameworks, and clear success criteria. It ensures every sales conversation is strategic, context-driven, and leads to a defined next step.

This skill performs a comprehensive audit of Figma component libraries. It checks for naming inconsistencies, component coverage gaps, variant completeness, and overall design system health. The output provides a structured report with prioritized issues, actionable naming conventions, and a step-by-step fix plan, ensuring design consistency across products.

Automatically generates a comprehensive, structured design brief for Figma. Users can input raw product requirements or feature requests, and the skill outputs a complete spec including goals, detailed user flows, required screens, component usage, constraints, and success criteria, ensuring designers have everything needed to start building confidently.