agentsclimarketplace

Cloudbase agent ts

Skill ulpi-io/plugin-marketplace/plugins/tencentcloudbase/skills/cloudbase-agent-ts

Build and deploy AI agents with Cloudbase Agent (TypeScript), a TypeScript SDK implementing the AG-UI protocol. Use when: (1) deploying agent servers with @cloudbase/agent-server, (2) using LangGraph adapter with ClientStateAnnotation, (3) using LangChain adapter with clientTools(), (4) building custom adapters that implement AbstractAgent, (5) understanding AG-UI protocol events, (6) building web UI clients with @ag-ui/client, (7) building WeChat Mini Program UIs with @cloudbase/agent-ui-miniprogram.From its SKILL.md

Install
npx -y skills add ulpi-io/plugin-marketplace --skill cloudbase-agent-ts

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.0 KB, 611 tokens by cl100k_base, as published. Nobody here has run it

Cloudbase Agent (TypeScript)

TypeScript SDK for deploying AI agents as HTTP services using the AG-UI protocol.

Note: This skill is for TypeScript/JavaScript projects only.

When to use this skill

Use this skill for AI agent development when you need to:

  • Deploy AI agents as HTTP services with AG-UI protocol support
  • Build agent backends using LangGraph or LangChain frameworks
  • Create custom agent adapters implementing the AbstractAgent interface
  • Understand AG-UI protocol events and message streaming
  • Build web UI clients that connect to AG-UI compatible agents
  • Build WeChat Mini Program UIs for AI agent interactions

Do NOT use for:

  • Simple AI model calling without agent capabilities (use ai-model-* skills)
  • CloudBase cloud functions (use cloud-functions skill)
  • CloudRun backend services without agent features (use cloudrun-development skill)

How to use this skill (for a coding agent)

  1. Choose the right adapter

    • Use LangGraph adapter for stateful, graph-based workflows
    • Use LangChain adapter for chain-based agent patterns
    • Build custom adapter for specialized agent logic
  2. Deploy the agent server

    • Use @cloudbase/agent-server to expose HTTP endpoints
    • Configure CORS, logging, and observability as needed
    • Deploy to CloudRun or any Node.js hosting environment
  3. Build the UI client

    • Use @ag-ui/client for web applications
    • Use @cloudbase/agent-ui-miniprogram for WeChat Mini Programs
    • Connect to the agent server's /send-message or /agui endpoints
  4. Follow the routing table below to find detailed documentation for each task

Routing

TaskRead
Deploy agent server (@cloudbase/agent-server)server-quickstart
Use LangGraph adapteradapter-langgraph
Use LangChain adapteradapter-langchain
Build custom adapteradapter-development
Understand AG-UI protocolagui-protocol
Build UI client (Web or Mini Program)ui-clients
Deep-dive @cloudbase/agent-ui-miniprogramui-miniprogram

Quick Start

import { run } from "@cloudbase/agent-server";
import { LanggraphAgent } from "@cloudbase/agent-adapter-langgraph";

run({
  createAgent: () => ({ agent: new LanggraphAgent({ workflow }) }),
  port: 9000,
});

What ships with it: 7 files

20.2 KB alongside SKILL.md

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.