Skill UI

An expert specialist for rigorous visual validation, focusing on UI testing, design system compliance, and WCAG accessibility verification. This skill systematically analyzes visual evidence for cross-platform consistency, pixel-perfect accuracy, and adherence to modern design standards, utilizing principles from visual regression testing and comprehensive QA methodologies.

Automated User Story Generator delivers stepwise guidance, industry best practices, and production-ready artifacts for enterprise workflow projects. Use it when you need compliance-ready governance, integration, or project management patterns triggered by mentioning “user story generator.”

This tool rigorously validates API schemas against industry standards, including OpenAPI 3.0/3.1, JSON Schema, and GraphQL SDL. It performs structural analysis to detect incomplete schemas, inconsistent naming, undocumented endpoints, and critical breaking changes. Use it within your CI/CD pipeline to ensure API contracts are robust, compliant, and maintainable before release.

This guide demonstrates how to implement robust Role-Based Access Control (RBAC) and financial governance for cloud GPU environments. It allows organizations to allocate resources, set team-specific budgets, whitelist approved GPUs, and track spending via detailed audit logs. Ideal for multi-team research and engineering environments requiring strict cost accountability and access separation.

This skill provides robust strategies and Python implementations for dealing with API rate limiting (HTTP 429 errors) when interacting with services like Vast.ai. It includes automatic retry logic, exponential backoff algorithms, and optimized techniques for batch operations and polling, ensuring stable and efficient API throughput.

A collection of production-ready Python patterns for interacting with the Vast.ai cloud API. This includes typed search query builders, context-managed instance lifecycle (guaranteeing auto-cleanup), offer scoring algorithms (cost, reliability, performance), robust retry mechanisms with backoff, and secure SSH command execution. Essential for building reliable, complex cloud workflow applications.

This comprehensive checklist is designed for ensuring flawless deployments to Vercel's production environment. It guides users through every critical stage: pre-deployment verification (environment variables, testing), secure promotion and API deployment, domain configuration, post-deployment health checks, and immediate rollback procedures. Use this guide whenever preparing for a major launch or implementing go-live procedures to minimize production risks.

Provides automated guidance for designing, validating, and deploying Vertex AI pipelines within Google Cloud, covering compute, storage, BigQuery, and GCP-specific services for production readiness.

Designs shareable generator tools that go viral by blending social psychology, generator architecture, and share optimization for quizzes, avatars, names, calculators, and personality tests.

Automates VPC network provisioning guidance within the GCP Skills category, offering best practices, ready-to-run code, and validation for compute, storage, BigQuery, Vertex AI, and other Google Cloud services whenever “vpc network setup” is mentioned.

Runs a Lighthouse-based audit that combines performance, accessibility, SEO, and best-practice checks, categorizes issues by severity, and recommends targeted fixes for requested site reviews.

Automates websocket handler setup for backend development, guiding Node.js, Python, and Go implementations while aligning with database, caching, messaging, and microservice architecture best practices to deliver production-ready code and validations.