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Build AI agents on Cloudflare's edge using prompt-native architecture where features are defined in prompts, not code. Use when creating autonomous agents with Durable Objects, designing Workers services, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy on the edge.

Validates shadcn/ui component customization depth, ensuring components aren't used with default props and checking for consistent design system implementation across Tanstack Start applications

Generate, edit, and compose images using Google's Gemini AI API for design workflows and visual content creation

Automatically validates frontend design patterns to prevent generic aesthetics (Inter fonts, purple gradients, minimal animations) and enforce distinctive, branded design during Tanstack Start (React) development with shadcn/ui

Automatically optimizes Cloudflare Workers performance during development, focusing on cold starts, bundle size, edge caching, and global latency

Automatically validates Cloudflare Workers runtime compatibility during development, preventing Node.js API usage and ensuring proper Workers patterns

Automatically validates Cloudflare Workers CORS configuration, ensuring proper headers, OPTIONS handling, and origin validation for cross-origin requests

Automatically validates Cloudflare Durable Objects usage patterns, ensuring correct state management, hibernation, and strong consistency practices

Automatically optimizes Cloudflare KV storage patterns, suggesting parallel operations, caching strategies, and storage choice guidance

Automatically validates Cloudflare Workers binding configuration, ensuring code references match wrangler.toml setup and TypeScript interfaces are accurate

Analyzes AI conversation exports to identify recurring patterns and generate custom Claude Skills. Use when analyzing conversation data, identifying workflow patterns, or creating reusable AI skills from usage history.