cloudrun-development

Develop CloudBase Run backends for long-lived connections and multi-language environments.

Updated Dec 19, 2025

Search Tags:#backend #ai-agent #cloudrun #cloudbase-run #function-mode #container-mode

Ready to run

npx skills add https://github.com/yyds-x/walk --skill cloudrun-development-yyds-x

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cloudrun-development
Source: https://github.com/yyds-x/walk/tree/main/.agents/skills/cloudbase/references/cloudrun-development
Command: npx skills add https://github.com/yyds-x/walk --skill cloudrun-development-yyds-x

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CloudBase Run backend development rules (Function mode/Container mode) address the need to deploy backend services that require long connections, multi-language support, custom environments, or AI agent development.

Core Features & Use Cases

Supports both Function mode and Container mode for flexible backend workloads.
Enables long-running processes, private/internal networking, and multi-language environments including AI agent development.
Provides clear guidelines on initialization, deployment, access control, and performance tuning for CloudBase Run.

Quick Start

Deploy a CloudBase Run backend that can scale with your needs and handle long connections.

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 CloudBase Run backend for AI agent integrations?▼

To deploy a CloudBase Run backend for AI agents, develop a service that supports long-lived connections and multi-language environments. You must configure it to listen on PORT, stay stateless, and manage OpenAccess/security settings for proper initialization and scaling.

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

Function mode and Container mode in CloudBase Run offer flexible backend workload configurations. Function mode handles event-driven executions, while Container mode supports custom environments and long-running processes requiring persistent tasks and private networking.

Does CloudBase Run support long-lived connections and multi-language environments?▼

Yes, CloudBase Run supports long-lived connections and multi-language environments. It is designed for workloads requiring persistent tasks, private networking, and AI agent integrations across both Function and Container deployment modes.

Why does my CloudBase Run deployment require listening on PORT and staying stateless?▼

CloudBase Run requires services to listen on PORT and stay stateless to ensure reliable scaling and lifecycle management. Avoiding background threads and minimizing dependencies optimizes performance tuning and maintains stable long-running processes.

What are the limitations of using CloudBase Run for backend workloads?▼

CloudBase Run limitations require avoiding background threads and maintaining statelessness. You must minimize dependencies and properly configure OpenAccess/security settings to ensure workloads function correctly without unmanaged persistent storage.

Can I use CloudBase Run for private networking and persistent tasks?▼

Yes, you can use CloudBase Run for private networking and persistent tasks. It explicitly supports workloads requiring internal networking and long-running processes, particularly when developing AI agent integrations within multi-language environments.