This project provides a comprehensive reference skill for AI agents, specifically designed to assist with tasks related to the Cloudflare platform. It aims to make Cloudflare's extensive services accessible and actionable for AI/LLM consumption, benefiting developers and engineers working within the Cloudflare ecosystem by offering contextual guidance and decision trees for various Cloudflare products and patterns.

How It Works

The skill integrates with AI agents like OpenCode, providing a structured knowledge base and decision trees covering Cloudflare's offerings. Installation is handled via a simple bash script. Once loaded, users can invoke the skill using a slash command (/cloudflare) to receive contextual guidance, access reference documentation, and navigate complex architectural patterns across products like Workers, D1, R2, Vectorize, and more. The internal structure organizes information by product and usage patterns, facilitating efficient AI-driven retrieval and task execution.

Quick Start & Requirements

• Install: Execute curl -fsSL https://raw.githubusercontent.com/dmmulroy/cloudflare-skill/main/install.sh | bash for local installation, or bash -s -- --global for global installation.
• Usage: Use the /cloudflare command within the OpenCode agent. Update with /cloudflare --update-skill.
• Prerequisites: Requires a compatible AI agent environment (e.g., OpenCode) and a shell environment for script execution. No specific Cloudflare account or API keys are needed for the skill itself.
• Links: install.sh

Highlighted Details

• Extensive coverage of over 40 Cloudflare products, including Workers, Pages, D1, KV, R2, Vectorize, Workers AI, and infrastructure-as-code tools like Terraform and Pulumi.
• Features decision trees within SKILL.md to guide AI agents through complex choices for running code, storage, AI/ML, networking, security, and media services.
• Organized structure with dedicated sections for product overviews, API references, configurations, patterns, and potential pitfalls (gotchas.md).

Maintenance & Community

No specific details regarding contributors, sponsorships, or community channels (like Discord/Slack) are provided in the README.

Licensing & Compatibility

• License: MIT.
• Compatibility: The MIT license generally permits broad use, including commercial applications and linking within closed-source projects, subject to the terms of the license.

Limitations & Caveats

This project functions as a reference skill for AI agents and its utility is dependent on the capabilities and integration of the host AI environment (e.g., OpenCode). The README does not detail specific performance benchmarks or known bugs.