svelte-deployment
Expert SvelteKit deployment guidance covering production builds, static/node/cloudflare adapters, Vite configuration, and library authoring best practices.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
158 skills found
Expert SvelteKit deployment guidance covering production builds, static/node/cloudflare adapters, Vite configuration, and library authoring best practices.
Formik form handling, validation schemas with Yup, and submission patterns for React applications.
A macOS UI automation CLI that enables agents to capture screens, target UI elements, manage applications, and execute cross-app workflows with JSON-based scripting.
A Svelte 5 testing expert using vitest-browser-svelte and Playwright. Provides patterns for unit, SSR, and E2E tests, plus a CLI tool for AI assistants to fetch testing patterns.
Advanced visual regression testing with pixel-perfect and AI-powered diff analysis, cross-browser validation, and responsive design checks to prevent UI regressions in CI/CD pipelines.
Webpack reference tool for frontend developers. Provides guides, troubleshooting, performance tips, and best practices for configuration and project management.
Perform automated visual regression testing by comparing UI screenshots against established baselines to identify layout shifts, color changes, and rendering regressions.
Orchestrator for audio plugin WebView UI design, handling iterative mockup generation and production-ready scaffolding for JUCE-based instruments and effects.
Manage serverless messaging, task scheduling, and webhook verification with the official Upstash QStash JavaScript/TypeScript SDK.
Enterprise-grade React CRUD development skill for React 16.14 and DVA 2.x, featuring automated page generation, form management, and service layer integration.
React and Vite performance optimization guidelines. Use when writing, reviewing, or optimizing React components built with Vite.
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.