cloudrun-development

Name: cloudrun-development
Availability: InStock
Author: xianmingyao

Define CloudBase Run backend development rules for Function and Container modes.

1|1|Updated Mar 18, 2026

Search Tags:#devops #container #ai-agent #function #backend-development #cloudbase #cloudrun

Ready to run

npx skills add https://github.com/xianmingyao/openclaw-CaySon --skill cloudrun-development-xianmingyao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cloudrun-development
Source: https://github.com/xianmingyao/openclaw-CaySon/tree/main/skills/cloudbase/references/cloudrun-development
Command: npx skills add https://github.com/xianmingyao/openclaw-CaySon --skill cloudrun-development-xianmingyao

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backend development for CloudBase Run using Function mode or Container mode, providing clear rules and workflows to design scalable, maintainable services.

Core Features & Use Cases

Clear mode guidance for Function vs Container backends, including when to use each
Step-by-step workflows from initialization to deployment, with agent support and best practices
Security, networking, and resource-management guidelines for production readiness

Quick Start

Run CloudBase Run backend development guidelines to set up a backend service that can communicate via HTTP/WebSocket in Function mode or a container-based runtime.

Frequently Asked Questions about cloudrun-development

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

FAQPage Schema

When should I use CloudBase Run Function mode versus Container mode for backend development?▼

CloudBase Run Function mode suits standard HTTP backends, while Container mode is necessary for long-running services needing WebSocket/SSE, private networking, custom runtimes, or AI agent development. Mode selection depends on your specific networking and runtime requirements.

How do I build a scalable CloudBase Run backend with WebSocket support?▼

To build a scalable CloudBase Run backend with WebSocket support, use Container mode to deploy a custom runtime. This mode supports long-running services and real-time communication protocols like WebSocket and SSE for maintainable backend architectures.

Can I develop AI agents using CloudBase Run?▼

Yes, you can develop AI agents using CloudBase Run by selecting Container mode. This mode provides the necessary long-running service capabilities, custom runtimes, and private networking required to host and scale AI agent applications effectively.

What is the best way to deploy a custom runtime backend on CloudBase Run?▼

The best way to deploy a custom runtime backend on CloudBase Run is using Container mode. It provides deterministic guidance, step-by-step workflows from initialization to deployment, and security guidelines to ensure production readiness for your services.

Does CloudBase Run provide guidelines for production-ready backend security and networking?▼

Yes, CloudBase Run provides comprehensive security, networking, and resource-management guidelines. These rules ensure your Function or Container mode backend meets production readiness requirements, covering private networking configurations and best practices for deployment.

Why does my CloudBase Run Function mode backend fail to maintain WebSocket connections?▼

CloudBase Run Function mode may fail to maintain WebSocket connections because it is not designed for long-running services. For WebSocket or SSE support, you must switch to Container mode, which handles persistent connections and custom runtimes properly.