cloudrun-development

Guide backend service design and deployment on CloudBase Run in Function and Container modes.

72|5|Updated Jan 22, 2026

Search Tags:#deployment #backend #docker #container #ai-agent #cloudrun

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npx skills add https://github.com/TencentCloudBase/skills --skill cloudrun-development

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a concise, rules-based guide for developing and deploying backend services on CloudBase Run, including Function mode and Container mode, with emphasis on AI agent development and best practices.

Core Features & Use Cases

Define when to use Function mode vs Container mode and outline deployment workflows.
Enforce essential requirements: services must listen on PORT, be stateless, minimize dependencies, and ensure secure access controls.
Guide AI agent development workflows and tooling for scalable, persistent cloud services.

Quick Start

Follow the CloudRun development rules to bootstrap a new backend service, choose an appropriate mode, and set up deployment pipelines using the provided tool workflows.

Frequently Asked Questions about cloudrun-development

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

FAQPage Schema

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

CloudBase Run backend deployment uses Function mode for lightweight, event-driven tasks and Container mode for long-lived connections, private networks, custom runtimes, and AI agent development scenarios.

How do I deploy an AI agent backend service on CloudBase Run?▼

To deploy an AI agent backend on CloudBase Run, select Container mode, ensure your service listens on PORT, remains stateless, minimizes dependencies, and utilize the manageCloudRun tool workflow for deployment.

What are the essential design requirements for CloudBase Run container services?▼

CloudBase Run container services must listen on the designated PORT, maintain a stateless design, minimize external dependencies, and enforce proper access controls to ensure scalable and persistent operations.

Does CloudBase Run support custom runtimes and private network connections?▼

CloudBase Run supports custom runtimes and private network configurations by utilizing Container mode, enabling engineers to deploy backend services tailored to specific persistent cloud application requirements.

Why does my CloudBase Run backend deployment fail when scaling?▼

CloudBase Run backend deployments fail when scaling if the service is not designed statelessly, misses the required PORT listening configuration, or contains excessive dependencies violating the deployment rules.