💡 Summary
This skill provides comprehensive reference documentation for using Cloudflare services with AI and LLMs.
🎯 Target Audience
🤖 AI Roast: “The installation script could pose risks if the source is compromised, potentially leading to unauthorized access or code execution. Ensure to verify the script's integrity before ”
The installation script could pose risks if the source is compromised, potentially leading to unauthorized access or code execution. Ensure to verify the script's integrity before running it.
Cloudflare Skill for OpenCode
Comprehensive Cloudflare platform reference docs for AI/LLM consumption. Covers Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking, security, and infrastructure-as-code.
Install
Local installation (current project only):
curl -fsSL https://raw.githubusercontent.com/dmmulroy/cloudflare-skill/main/install.sh | bash
Global installation (available in all projects):
curl -fsSL https://raw.githubusercontent.com/dmmulroy/cloudflare-skill/main/install.sh | bash -s -- --global
Usage
Once installed, the skill appears in OpenCode's <available_skills> list. The agent loads it automatically when working on Cloudflare tasks.
Use the /cloudflare command to load the skill and get contextual guidance:
/cloudflare set up a D1 database with migrations
Updating
To update to the latest version:
/cloudflare --update-skill
Structure
The installer adds both a skill and a command:
# Skill (reference docs)
skill/cloudflare/
├── SKILL.md # Main manifest + decision trees
├── patterns.md # Multi-product architecture patterns
└── references/ # 60 product subdirectories
└── <product>/
├── README.md # Overview, when to use
├── api.md # Runtime API reference
├── configuration.md # wrangler.toml + bindings
├── patterns.md # Usage patterns
└── gotchas.md # Pitfalls, limitations
# Command (slash command)
command/cloudflare.md # /cloudflare entrypoint
Decision Trees
The main SKILL.md contains decision trees for:
- Running code (Workers, Pages, Durable Objects, Workflows, Containers)
- Storage (KV, D1, R2, Queues, Vectorize)
- AI/ML (Workers AI, Vectorize, Agents SDK, AI Gateway)
- Networking (Tunnel, Spectrum, WebRTC)
- Security (WAF, DDoS, Bot Management, Turnstile)
- Media (Images, Stream, Browser Rendering)
- Infrastructure-as-code (Terraform, Pulumi)
Products Covered
Workers, Pages, D1, Durable Objects, KV, R2, Queues, Hyperdrive, Workers AI, Vectorize, Agents SDK, AI Gateway, Tunnel, Spectrum, WAF, DDoS, Bot Management, Turnstile, Images, Stream, Browser Rendering, Terraform, Pulumi, and 40+ more.
License
MIT - see LICENSE
Pros
- Comprehensive documentation for various Cloudflare products.
- Supports AI and LLM integration.
- Easy installation and usage.
Cons
- May be overwhelming due to extensive content.
- Requires familiarity with Cloudflare services.
- Limited examples for practical implementation.
Related Skills
durable-objects
A“Powerful, but the setup might scare off the impatient.”
building-mcp-server-on-cloudflare
A“Powerful, but the setup might scare off the impatient.”
cloudflare-docs
C“Powerful, but the setup might scare off the impatient.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author dmmulroy.
