cloudrun-development

Enforce CloudBase Run backend rules for Function and Container modes.

Updated Dec 24, 2025
One-click install
npx skills add https://github.com/baiyongping/cowork-platform --skill cloudrun-development-baiyongping
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cloudrun-development
Source: https://github.com/baiyongping/cowork-platform/tree/main/.claude/skills/cloudrun-development
Command: npx skills add https://github.com/baiyongping/cowork-platform --skill cloudrun-development-baiyongping

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CloudBase Run backend development rules address the challenge of building scalable, persistent backends that can run in Function mode or Container mode, enabling multi-language support and AI-driven workflows.

Core Features & Use Cases

  • Long-lived connections: WebSocket/SSE and persistent background tasks.
  • Flexible runtimes: Function mode with built-in HTTP/WebSocket support or Container mode for arbitrary languages and custom environments.
  • Private/internal networking: supports VPC/private access and secure, internal deployments.
  • AI agent development: enables building AI-powered services using Function mode CloudRun.
  • Deployment workflows: init, download, run, deploy, and agent creation to streamline operations.

Quick Start

Initialize a CloudBase Run project and follow the deployment workflow to build and deploy your backend in Function mode or Container mode.

Frequently Asked Questions about cloudrun-development

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

FAQPage Schema
How do I deploy a scalable backend using CloudBase Run?

Deploying a scalable backend with CloudBase Run involves initializing a project, then executing run and deploy workflow commands to launch your service in Function or Container mode. The process enforces stateless design and listening on PORT.

Can I run WebSocket and SSE long-lived connections on CloudBase Run?

Yes, CloudBase Run supports WebSocket and SSE long-lived connections. You can build scalable, persistent backends that handle real-time data streaming and execute persistent background tasks effectively.

Does CloudBase Run support AI agent development with multi-language environments?

Yes, CloudBase Run supports AI agent development by enabling AI-driven workflows in Function mode. Container mode allows you to configure arbitrary programming languages and custom environments for your AI services.

What is the difference between Function mode and Container mode in CloudBase Run?

Function mode offers built-in HTTP and WebSocket support for rapid deployment, whereas Container mode in CloudBase Run allows you to run arbitrary programming languages and custom environments for maximum flexibility.

How do I configure private networking and secure internal deployments on CloudBase Run?

Configuring private networking on CloudBase Run involves setting up VPC private access and configuring OpenAccess. This ensures secure, internal deployments by managing and restricting external traffic to your backend services.