Skill UI

Automated assistant for frontend image optimization walks you through best practices, generates production-ready code and config, and validates results whenever you ask about image optimization patterns or helper workflows.

Automates Imagekit IO operations through Composio's Rube MCP toolkit, enforcing an always-search-first workflow to discover schemas, verify active connections, and execute compliant calls via RUBE_MULTI_EXECUTE_TOOL.

This skill leverages Google Gemini's advanced image generation model to create high-quality, context-specific visuals. It is essential for developers needing placeholder images for UIs, generating detailed diagrams for technical documentation, or visualizing abstract concepts, logos, and assets across cross-platform projects (Windows, macOS, Linux).

This guide provides a comprehensive reference for diagnosing and resolving common errors encountered when interacting with the Kling AI API. It covers various HTTP status codes (e.g., 400, 401, 429), task-level failures (e.g., content policy violations, low image quality), proper JWT token management, and implementing rate limit handling with exponential backoff. Use this resource when troubleshooting failed video generation or API integration issues.

Helps manage container registries like AWS ECR, Google GCR, and Harbor by generating configuration code, guiding access controls, and advising best practices for secure, production-ready image storage and deployment automation.

This comprehensive guide outlines best practices for developing modern, scalable applications using the Next.js App Router. It covers critical architectural patterns, including the decision-making process between Server and Client Components, advanced data fetching strategies (caching, revalidation), file-system routing principles, API route handling, and performance optimizations like image and bundle splitting. Essential knowledge for building robust full-stack React applications.

OSS-Fuzz gives open-source teams free distributed infrastructure for continuous fuzz testing, letting you build Docker images, compile sanitizing fuzzers, run harnesses, and review coverage/bugs through the helper.py CLI instead of hosting your own servers.

Optimizes Astro projects with critical CSS inlining, asset compression, font-loading tweaks, third-party deferment, and LCP/image preload strategies aimed at sustaining 95+ Lighthouse scores.

Helps developers systematically optimize web performance by measuring key metrics, reducing bundle size, deferring scripts, optimizing images and fonts, and tuning caching and CSS for faster Time to Interactive and better Lighthouse scores.

Guides engineers through bundle analysis, lazy loading, image optimization, caching headers, virtualized lists, and Core Web Vitals monitoring so web apps stay fast and scalable for production traffic.

Deploy applications to Render by analyzing repositories, generating render.yaml blueprints, and creating services via MCP tools; works for Git-backed projects and guides users through Render-specific flows, credentials, and Docker image options.

Scans container images and running containers using Trivy and Snyk to identify vulnerabilities, rank them by severity, and return remediation guidance whenever users ask for a security assessment before or after deployment.