ai-app-lab
学习火山引擎 AI 应用实验室项目，包含 27 个 AI 应用示例项目的架构和实现。
Why use this skill?
Explore 27 AI application architectures with the ai-app-lab skill for OpenClaw. Master veFaaS integration and AI agent automation today.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/uuoov/ai-app-labWhat This Skill Does
The ai-app-lab skill provides a deep integration with the Volcano Engine AI Application Lab (volcengine/ai-app-lab) project. It serves as a pedagogical and functional toolkit for users to explore, understand, and deploy 27 distinct AI-driven applications. This skill excels at dissecting complex architectures that leverage serverless infrastructure, such as Volcano Engine's veFaaS, to power AI workflows. Whether you are interested in browser automation, large language model (LLM) orchestration, or visual task execution, this skill acts as your gateway to mastering these implementations.
Installation
To integrate this skill into your environment, use the OpenClaw command-line interface. Ensure you have the necessary environment variables configured for Volcano Engine access if you plan to deploy the underlying infrastructure. Execute the following command in your terminal:
clawhub install openclaw/skills/skills/uuoov/ai-app-lab
Use Cases
This skill is designed for developers, AI engineers, and system architects who need to prototype AI solutions rapidly.
- Learning Architecture: Study the provided codebases to understand how to build resilient AI pipelines using veFaaS.
- Rapid Prototyping: Utilize the existing 27 templates as a foundation for your own AI applications.
- Automated Workflows: Implement browser automation tasks that rely on LLM-driven decision-making processes.
- Technical Education: Serve as a reference point for best practices in deploying AI agents on cloud-native architectures.
Example Prompts
- "OpenClaw, help me analyze the architecture of the browser automation agent in the ai-app-lab project and explain how the veFaaS triggers work."
- "I want to deploy a new AI-powered text summarizer using the templates in ai-app-lab; walk me through the necessary configuration steps."
- "List the 27 available AI application examples in ai-app-lab and identify which ones support autonomous browser interaction."
Tips & Limitations
- Prerequisites: This skill assumes basic familiarity with Python and cloud-native concepts. Ensure your CLI environment is authenticated with your cloud provider before attempting deployment.
- Cloud Dependency: Many of these applications are tightly coupled with Volcano Engine services. They may not be fully portable to other cloud providers without significant modification.
- Execution Costs: Since these examples leverage veFaaS, be mindful of your usage to avoid unexpected cloud costs during testing and development.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-uuoov-ai-app-lab": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, code-execution, external-api
Related Skills
vefaas-browser-use
基于火山引擎函数服务的浏览器使用智能体，支持大模型驱动的浏览器自动化操作。
creator-intel-v5
创造者情报 V5 - 工程师视角技术情报聚合器 严禁 VC 商业化话术，只关注底层技术实现。 服务对象：硬科技工程师、极客产品经理、技术研究者。 核心选品标准（按优先级）： 1. 🥇 GitHub 开源项目与霸榜（新模型、新硬件图纸、开发工具库） 2. 🥈 硬核技术原理解析（MoE、稀疏注意力、流匹配、新架构） 3. 🥉 极客硬件与创新交互（ESP32、树莓派、Kickstarter 创意硬件） 摘要必须包含： - 至少 2 个技术名词或具体参数 - 架构/算法/材料/性能指标 - 严禁："拓展商业化"、"规模化部署"、"生态布局" 等公关套话 信源分布： - 国际：GitHub、IEEE、arXiv、Kickstarter、Hackaday（Tavily API 搜索） - 国内：机器之心、量子位、开源中国 RSS 使用场景： - "生成今日技术情报" - "有什么硬核技术新闻" - "GitHub 上有啥新东西" 输出格式： ``` [YYYY-MM-DD] 创造者情报 🌍 📦 [技术实体 + 动作 + 性能参数](URL) 摘要：架构细节；关键性能指标；应用场景 ⚛️ [技术实体 + 动作 + 性能参数](URL) 摘要：... ```