cloudflare-expert

Debug production issues by querying Worker logs and analyzing errors using the Cloudflare Observability MCP

Automated deployment workflow with pre-flight checks, validation, testing, and deployment to Cloudflare Workers

Launch interactive managed local development session with wrangler dev, including configuration validation, dependency checks, and error monitoring

This agent should be used when the user asks questions about Cloudflare documentation, requests information about specific Cloudflare features or products, needs to search the Cloudflare docs, or wants the latest documentation on a topic. Examples include "What's the latest on D1?", "Search the docs for Vectorize indexing", "How do I configure AI Gateway?", "What are the current limits for KV?", or "Fetch the Durable Objects documentation".

Use when debugging production issues, analyzing Worker logs, investigating errors, or monitoring performance. Examples include "Why is my Worker returning 500 errors?", "Show me recent errors", "Analyze performance of my RAG endpoint", "What requests failed in the last hour?", or "Debug this production issue".

This agent should be used when the user needs help with Workers AI implementation, model selection, RAG architecture design, embedding strategies, AI Gateway configuration, or optimizing AI workloads. Examples include "Which AI model should I use for this task?", "Help me implement a RAG system", "Optimize my embedding chunking strategy", "Configure AI Gateway for caching", or "My AI inference is too slow".

This agent should be used when the user needs help with Workers development, code review, performance optimization, architecture design, debugging Workers issues, or implementing complex Workers patterns. Examples include "Review my Worker code for performance", "How should I structure this multi-route Worker?", "My Worker is hitting CPU limits", "Design a caching strategy for my API", or "Debug this Workers error".

This skill should be used when the user asks about "R2", "D1", "KV", "Durable Objects", "Queues", "Vectorize", "Hyperdrive", "Workers Analytics", "Email Routing", "Browser Rendering", or discusses Cloudflare platform services, storage options, database choices, when to use which service, or integration patterns between Workers and platform products.

This skill should be used when the user asks about "deployment", "CI/CD", "continuous integration", "GitHub Actions", "GitLab CI", "environments", "staging", "production", "rollback", "versioning", "gradual rollout", "canary deployment", "blue-green deployment", or discusses deploying Workers, managing multiple environments, or setting up automated deployment pipelines.

Use when asking about "Hono", "itty-router", "routing frameworks", "middleware", "API framework", "web framework for Workers", "request routing", "Express-like", or choosing between web frameworks for Cloudflare Workers.

This skill should be used when the user asks about "Workers AI", "AI models", "text generation", "embeddings", "semantic search", "RAG", "Retrieval Augmented Generation", "AI inference", "LLaMA", "Llama", "bge embeddings", "@cf/ models", "AI Gateway", or discusses implementing AI features, choosing AI models, generating embeddings, or building RAG systems on Cloudflare Workers.

This skill should be used when the user asks about "Workers API", "fetch handler", "Workers runtime", "request handling", "response handling", "Workers bindings", "environment variables in Workers", "Workers context", or discusses implementing Workers code, routing patterns, or using Cloudflare bindings like KV, D1, R2, Durable Objects in Workers.