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Found 7 Skills
Edge Deployment automates the deployment of frontend applications to Vercel and Cloudflare with auto-detection of 40+ frameworks, intelligent build configuration, and environment-specific settings.
Deploy Next.js to Cloudflare Workers via OpenNext adapter. Use for SSR, ISR, App/Pages Router, or encountering worker size limits, runtime compatibility, connection scoping errors.
Deploy HTML pages, static directories, or custom edge functions to Alibaba Cloud ESA edge nodes. Manage Edge KV for distributed key-value storage. Use when deploying web pages, static sites, frontend builds, serverless edge functions, or edge data storage to ESA Functions & Pages.
Build stateless MCP servers with TypeScript on Cloudflare Workers using @modelcontextprotocol/sdk. Provides patterns for tools, resources, prompts, and authentication (API keys, OAuth, Zero Trust). Use when exposing APIs to LLMs, integrating Cloudflare services (D1, KV, R2, Vectorize), or troubleshooting export syntax errors, unclosed transport leaks, or CORS misconfigurations.
ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Use when optimizing inference performance, reducing model size, or deploying ML at the edge.
Use when user needs ML model deployment, production serving infrastructure, optimization strategies, and real-time inference systems. Designs and implements scalable ML systems with focus on reliability and performance.
Framework integration for Cloudflare Workers. Use when building with Hono, Remix, Next.js, Astro, SvelteKit, Qwik, or Nuxt on Workers. Covers routing, SSR, static assets, and edge deployment.