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LYC1197060211
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cloudrun-development

Deploy backend services on CloudBase Run in Function or Container modes.

Updated Aug 23, 2026
Search Tags:#deployment#containerization#ai agent#backend development#websockets#cloudrun
One-click install
npx skills add https://github.com/LYC1197060211/jxj --skill cloudrun-development-lyc1197060211
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudrun-development
Source: https://github.com/LYC1197060211/jxj/tree/main/web-admin/.claude/skills/cloudrun-development
Command: npx skills add https://github.com/LYC1197060211/jxj --skill cloudrun-development-lyc1197060211

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive guide and tooling for developing and deploying backend services on CloudBase Run, enabling long connections, multi-language support, and custom environments.

Core Features & Use Cases

  • Flexible Deployment: Supports both Function mode (Node.js) and Container mode (any language/runtime).
  • Advanced Capabilities: Enables WebSockets, SSE, long-running processes, and custom system dependencies.
  • Use Case: Develop a real-time chat application backend using WebSockets, or deploy a Python-based AI agent that requires specific system libraries not available in standard cloud functions.

Quick Start

Use the manageCloudRun tool to deploy your local project located at /abs/ws/my-svc to CloudBase Run.

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 backend service with WebSockets on CloudBase Run?▼

To deploy backend services with WebSockets, utilize CloudBase Run's Container mode to establish long connections. The manageCloudRun tool manages service deployment, supporting real-time applications via persistent connections.

Can I deploy a Python AI agent requiring custom system dependencies to CloudBase Run?▼

Yes, CloudBase Run supports deploying Python AI agents with custom system dependencies via Container mode. This mode allows any language and runtime, bypassing standard cloud function limitations.

What is the difference between Function mode and Container mode for backend deployment?▼

Function mode deploys Node.js services, while Container mode supports any language or runtime. Container mode enables custom environments, long-running processes, and multi-language support for diverse backend needs.

How do I manage and query my deployed CloudBase Run services?▼

Use the queryCloudRun and manageCloudRun tools for service management, querying, and deployment on CloudBase Run. These tools handle elastic scaling and service operations across both deployment modes.

Does CloudBase Run support Server-Sent Events (SSE) and long-running processes?▼

CloudBase Run supports Server-Sent Events (SSE) and long-running processes through its Container mode. This enables custom runtimes and continuous data streaming for backend applications.

When should I use CloudBase Run instead of standard cloud functions?▼

Use CloudBase Run instead of standard cloud functions when you need WebSockets, SSE, custom system dependencies, or multi-language support. It facilitates elastic scaling for long connections and custom environments.

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