/cloudbase-agent
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
$ npx -y skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-agent --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/cloudbase-agent
Context preview
The summary Claude sees to decide when to auto-load this skill.
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
SKILL.md
cloudbase-agent.SKILL.mdname: 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: 2.26.0
alwaysApply: false
Sibling skills (local only)
Sibling CloudBase skills ship beside this skill. Use local relative paths such as `../auth-tool-cloudbase/SKILL.md`.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do **not** HTTP-fetch remote skill or protocol markdown into the agent context.
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.
Read more
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: 2.26.0 alwaysApply: false
Sibling skills (local only)
Sibling CloudBase skills ship beside this skill. Use local relative paths such as `../auth-tool-cloudbase/SKILL.md`.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do **not** HTTP-fetch remote skill or protocol markdown into the agent context.
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.
AI writes the code. CloudBase runs the backend. The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.
Repo: TencentCloudBase/CloudBase-AI-Toolkit
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