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tuyenht
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cloudflare

Build and deploy edge applications on Cloudflare Workers with KV, D1, and R2.

Updated Jan 31, 2026
Search Tags:#serverless#edge computing#ai#cloudflare#r2#workers#d1
One-click install
npx skills add https://github.com/tuyenht/Antigravity-Core --skill cloudflare-tuyenht
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudflare
Source: https://github.com/tuyenht/Antigravity-Core/tree/main/.agent/skills/cloudflare
Command: npx skills add https://github.com/tuyenht/Antigravity-Core --skill cloudflare-tuyenht

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill empowers developers to build and deploy applications on Cloudflare's global edge network, leveraging serverless compute, distributed storage, and advanced security features.

Core Features & Use Cases

  • Serverless Compute: Deploy code globally with Cloudflare Workers.
  • Data Storage: Utilize KV, D1 (SQL), and R2 (Object Storage) for scalable data solutions.
  • AI/ML at the Edge: Integrate Workers AI for inference and Vectorize for semantic search.
  • Security: Implement WAF, DDoS protection, and Bot Management.
  • Use Case: Build a global, low-latency e-commerce backend using Workers for API endpoints, D1 for product data, and R2 for media assets.

Quick Start

Use the cloudflare skill to create a basic Cloudflare Worker that returns 'Hello World'.

Frequently Asked Questions about cloudflare

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

FAQPage Schema
How do I build serverless APIs with Cloudflare Workers and D1?▼

Build serverless APIs with Cloudflare Workers by deploying code to the global edge network and using D1 for distributed SQL storage. Create API endpoints and scale data solutions without managing traditional backend servers.

Can I run AI inference and semantic search directly on the Cloudflare edge?▼

Run AI inference and semantic search on the Cloudflare edge by integrating Workers AI and Vectorize. This allows you to execute machine learning models and perform vector searches directly at the edge network.

What is the best way to store media assets and object data using Cloudflare R2?▼

Store media assets and object data using Cloudflare R2 for scalable distributed storage. R2 provides object storage capabilities that integrate directly with Workers to build global, low-latency e-commerce backends.

Does Cloudflare support infrastructure as code for deploying edge applications?▼

Cloudflare supports infrastructure as code for deploying edge applications by using Terraform and Pulumi. Manage robust deployment of Workers, Pages, and 60+ products programmatically.

How do I implement WAF and DDoS protection for edge applications?▼

Implement WAF and DDoS protection for edge applications using Cloudflare's security products. Bot Management and WAF secure serverless compute infrastructure against malicious traffic.

When should I use Cloudflare KV instead of D1 for distributed storage?▼

Use Cloudflare KV for key-value data requiring low-latency reads across the edge, while D1 is for relational SQL queries. Choose based on whether your Workers need key-based or structured SQL data access.

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