skills.rest
xianmingyao
xianmingyaoCOMMUNITY
Explore all skills by this author →
GitHub

cloudbase-agent

Build AI agent backends with CloudBase Agent SDKs for Python and TypeScript.

1|1|Updated Mar 18, 2026
Search Tags:#langchain#sdk#langgraph#adapters#agent-server#cloudbase-agent
One-click install
npx skills add https://github.com/xianmingyao/openclaw-CaySon --skill cloudbase-agent-xianmingyao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloudbase-agent
Source: https://github.com/xianmingyao/openclaw-CaySon/tree/main/skills/cloudbase/references/cloudbase-agent
Command: npx skills add https://github.com/xianmingyao/openclaw-CaySon --skill cloudbase-agent-xianmingyao

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables developers to build production-ready AI agent backends using the CloudBase Agent SDKs, covering TypeScript and Python environments and providing unified patterns for server deployment, streaming, adapters, and observability.

Core Features & Use Cases

  • Supports both Python and TypeScript SDKs to create, deploy, and manage agent servers with AG-UI protocol streaming and OpenAI-compatible endpoints.
  • Offers language-specific skill routing (read ts/skill.md or py/skill.md) to tailor instructions and adapters to the chosen runtime.
  • Provides extensible adapters (LangGraph, LangChain, CrewAI, and custom) and tooling patterns to build robust, production-grade AI agents across projects.

Quick Start

Deploy a new agent server using a LangGraph-based workflow and verify through the deployment pipeline.

Frequently Asked Questions about cloudbase-agent

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

FAQPage Schema
How do I deploy a production-ready AI agent backend using LangGraph?▼

You can deploy production-ready AI agent backends by applying LangGraph adapters through the CloudBase Agent SDK. It routes language-specific instructions to set up server deployment, streaming protocols, and observability for your chosen Python or TypeScript runtime.

Can I use the CloudBase Agent SDK with TypeScript and Python to build agent servers?▼

Yes, the CloudBase Agent SDK supports both TypeScript and Python environments to create and manage agent servers. It provides unified patterns for AG-UI protocol streaming and OpenAI-compatible endpoints across both languages.

What is the best way to integrate LangChain adapters for an AI agent server?▼

The best way to integrate LangChain adapters is by using the extensible tooling patterns provided by the CloudBase Agent SDK. It tailors instructions to your specific runtime, allowing you to build robust, production-grade AI agents with LangChain.

Does the CloudBase Agent SDK support AG-UI protocol streaming and OpenAI-compatible endpoints?▼

Yes, the CloudBase Agent SDK supports AG-UI protocol streaming and OpenAI-compatible endpoints. This enables you to create, deploy, and manage agent servers with robust streaming and standard API compatibility.

How do I structure SKILL.md frontmatter and metadata for agent discovery?▼

You structure SKILL.md frontmatter by including a name and description, optional resources directories, and structured metadata extraction. This ensures proper discovery, dependency tracking, and safety for CloudBase Agent SDK skills.

When should I use custom adapters instead of CrewAI for my AI agent backend?▼

You should use custom adapters instead of CrewAI when your project requires specific custom tooling patterns outside standard frameworks. The CloudBase Agent SDK supports both CrewAI and custom adapters to build production-grade AI agents.

Related Skills

Explore More Software Engineering Skills→
mbpzmbpz

cloudbase-agent

Build and deploy AI agents with the CloudBase Agent SDK using TypeScript or Python.

Community
Advanced
TencentCloudBaseTencentCloudBase
1.1k

cloudbase-agent-python

Build AI agent backends with the CloudBase Agent Python SDK.

Official
Advanced
TencentCloudBaseTencentCloudBase
1.1k

cloudbase-agent-ts

Build and deploy AG-UI compatible AI agents as HTTP services with CloudBase.

Official
Advanced
ldmrepoldmrepo
3

agui

Build real-time streaming AI agent applications using the AG-UI protocol.

Community
Intermediate