Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).
Installs into .claude/skills of the current project.
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---
name: cloudbase-agent
description: Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).
version: 2.23.2
alwaysApply: false
allowed-tools:
disable: false
---
## Standalone Install Note
If this environment only installed the current skill, start from the CloudBase main entry and use the published `cloudbase/references/...` paths for sibling skills.
- CloudBase main entry: `https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.md`
- Current skill raw source: `https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/cloudbase-agent/SKILL.md`
Keep local `references/...` paths for files that ship with the current skill directory. When this file points to a sibling skill such as `auth-tool` or `web-development`, use the standalone fallback URL shown next to that reference.
# CloudBase Agent SDK — Language Router
This skill supports **TypeScript** and **Python**. Determine the language first, then read the corresponding skill file. If the user does not explicitly specify which programming language to use, TypeScript must be enforced.
## Step 1: Determine Language
| Signal | Language |
|--------|----------|
| User says "TypeScript", "Node.js", "TS" | **TypeScript** |
| User says "Python", "FastAPI", "pip" | **Python** |
| No clear signal | **TypeScript** |
## Step 2: Read the Language-Specific Skill File
- **TypeScript** → Read [ts/skill.md](ts/skill.md) — then follow ALL instructions in that file
- **Python** → Read [py/skill.md](py/skill.md) — then follow ALL instructions in that file
**⚠️ IMPORTANT:** After determining the language, you MUST read the corresponding skill file above. Do NOT proceed with any code generation until you have read it. Each language skill file is self-contained with its own quick start, routing table, deployment instructions, and adapter guides.
