What problem does it solve? Cloudflare's platform spans dozens of products with evolving APIs, limits, and configuration options, making it hard to pick the right product and write correct code without outdated assumptions. This Skill routes any Cloudflare task to the right product reference and biases toward retrieving live docs over stale pre-trained knowledge. ## Core Features & Use Cases - Decision trees for product selection: Quickly map needs like "run code", "store data", "feature flags", or "AI inference" to the right Cloudflare product (Workers, D1, R2, KV, Vectorize, Flagship, and more). - Progressive per-product references: Over 50 reference directories (workers, durable-objects, d1, workers-ai, terraform, wrangler, etc.) with README, configuration, API, patterns, and gotchas files loaded only as needed. - Retrieval-first guidance: Explicit instructions to verify limits, pricing, and type signatures against live Cloudflare docs, wrangler config schemas, and workers-types packages. - Use Case: You need to build a RAG chatbot on Cloudflare. The decision tree routes you to Workers AI for embeddings, Vectorize for the vector database, and the agents-sdk reference for stateful agent logic, with quick-start code for each. ## Quick Start Ask the agent to help you build a Cloudflare Worker that stores data in D1 and caches responses in KV, and it will load the relevant product references to guide the implementation.