What problem does it solve? Cloudflare's platform spans dozens of products, and pre-trained knowledge of its APIs, limits, and pricing is often outdated. This Skill routes any Cloudflare development task to the right product reference and prioritizes retrieval from live Cloudflare docs over stale baked-in knowledge. ## Core Features & Use Cases - Decision Trees for Product Selection: ASCII decision trees route tasks like running code, storing data, AI inference, networking, security, media, and analytics to the correct product reference. - Progressive Reference Library: Over 50 product references (Workers, Pages, D1, R2, KV, Durable Objects, Workers AI, Vectorize, Agents SDK, WAF, Terraform, and more), each with configuration, API, patterns, and gotchas files. - Retrieval-First Guidance: Explicit instructions to verify limits, pricing, and type signatures against Cloudflare docs, Wrangler config schema, and workers-types before citing specifics. - Use Case: When asked to build a RAG chatbot, the Skill routes you to Workers AI for inference, Vectorize for embeddings storage, and AI Gateway for caching, then loads each product's detailed reference files. ## Quick Start Ask the agent to help you build or configure any Cloudflare product, such as setting up a Worker with a D1 database, and it will load the relevant references.
