skills.rest
l395624064
l395624064COMMUNITY
Explore all skills by this author →
GitHub

cloudrun-development

Guide CloudBase Run backend development with Function or Container mode deployment workflows.

Updated Mar 27, 2026
Search Tags:#deployment#backend#container#ai-agent#function#cloudbase#cloudrun
One-click install
npx skills add https://github.com/l395624064/plantCard_Demo01 --skill cloudrun-development-l395624064
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudrun-development
Source: https://github.com/l395624064/plantCard_Demo01/tree/main/.trae/skills/cloudbase/references/cloudrun-development
Command: npx skills add https://github.com/l395624064/plantCard_Demo01 --skill cloudrun-development-l395624064

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CloudBase Run backend development rules provide a structured approach to building, deploying, and managing backend services using Function mode or Container mode, addressing needs like long-lived connections, multi-language runtimes, custom environments, and AI agent development.

Core Features & Use Cases

  • Guidance on selecting Function mode vs Container mode based on language, runtime, performance, and deployment needs.
  • Clear development and operational requirements: port handling, stateless design, minimal dependencies, access control, and scalable deployment workflows (init, download, run, deploy, delete, createAgent).
  • Practical use cases including AI agents, private/internal networking, and multi-language backends with flexible runtime support.

Quick Start

Set up a CloudBase Run backend by choosing Function mode or Container mode and deploy a scalable service.

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 service using CloudBase Run?▼

To deploy a scalable backend with CloudBase Run, select Function mode or Container mode, then use the deploy workflow to build and launch your service. This enforces statelessness, proper port handling, and access controls for production readiness.

When should I choose Container mode over Function mode for my backend?▼

Choose Container mode over Function mode when your backend requires custom runtimes, multi-language stacks, or long-lived connections. Function mode is typically used for standard deployments without these specialized runtime or networking requirements.

Can I build and deploy AI agents using CloudBase Run?▼

Yes, you can build and deploy AI agents using CloudBase Run. The platform provides specific development rules and a createAgent workflow to support AI agent development alongside private network configurations and multi-language backend stacks.

What are the requirements for port handling and statelessness in CloudBase Run?▼

CloudBase Run requires strict stateless design and proper port handling for all backend deployments. These constraints ensure the platform can dynamically scale your services and manage long-lived connections without losing session data.

Does CloudBase Run support private networks and custom runtimes?▼

Yes, CloudBase Run supports private internal networking and custom runtimes. This allows you to deploy multi-language backends with flexible runtime environments while maintaining strict accessibility controls.

Related Skills

Explore More Software Engineering Skills→
outsetaoutseta
1

convex

Generate Convex functions, schemas, and deployment patterns for backend setup.

Official
Advanced
sycskysycsky

cloudrun-development

Develop CloudBase Run backends in function or container mode.

Community
Advanced
baiyongpingbaiyongping

cloudrun-development

Enforce CloudBase Run backend rules for Function and Container modes.

Community
Advanced
kubonykubony
10

gcp-cloudrun

Deploy, scale, and manage Cloud Run services using the gcloud CLI.

Community
Advanced