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cf-ai

Deploy and manage AI workloads on Cloudflare's edge network.

1|Updated Mar 2, 2026
Search Tags:#edge computing#ai#rag#cloudflare#vectorize#ai gateway#workers ai
One-click install
npx skills add https://github.com/sitharaj88/claude-skills --skill cf-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cf-ai
Source: https://github.com/sitharaj88/claude-skills/tree/main/skills/cf-ai
Command: npx skills add https://github.com/sitharaj88/claude-skills --skill cf-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the deployment of AI models and applications directly on Cloudflare's edge network, enabling low-latency inference, efficient data processing, and robust AI-powered features.

Core Features & Use Cases

  • Edge AI Inference: Run models like Llama 3, Stable Diffusion, and Whisper directly on Cloudflare Workers.
  • Vector Databases: Integrate with Vectorize for building RAG pipelines and similarity search.
  • AI Gateway: Proxy and manage AI provider requests with caching, rate limiting, and fallbacks.
  • RAG Pipelines: Build Retrieval Augmented Generation systems using Vectorize, D1, and Workers AI.

Quick Start

Use the cf-ai skill to generate a Cloudflare Worker configuration for text generation using the Llama 3 model.

Frequently Asked Questions about cf-ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy AI models like Llama 3 or Whisper on Cloudflare Workers?▼

Deploy AI models on Cloudflare Workers by configuring serverless inference endpoints via Workers AI to run Llama 3, Stable Diffusion, and Whisper directly on the edge network for low-latency processing.

Can I build a RAG pipeline using Cloudflare Vectorize and Workers AI?▼

Build Retrieval Augmented Generation (RAG) pipelines by integrating Cloudflare Vectorize for vector database similarity search, D1 for relational data, and Workers AI to generate responses.

What is the AI Gateway in Cloudflare used for?▼

Cloudflare AI Gateway proxies and manages AI provider requests, providing centralized service management with caching, rate limiting, and fallback mechanisms for edge-based AI applications.

Does Cloudflare edge computing support real-time AI data processing?▼

Cloudflare edge computing supports real-time data processing by facilitating serverless inference with Workers AI, enabling low-latency execution of AI workloads directly at the network edge.

What is the best way to manage AI provider requests with caching and rate limiting on the edge?▼

Manage AI provider requests on the edge by using Cloudflare AI Gateway to proxy traffic, applying centralized controls for caching, rate limiting, and fallbacks to optimize inference.

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