A comprehensive skill for deploying high-performance cloud infrastructure and integrating advanced AI models like Doubao using the Openclaw Skills framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install volcengine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install volcengine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Volcengine Ecosystem Master?
Volcengine provides a high-performance cloud environment coupled with state-of-the-art AI Model as a Service (MaaS) offerings. This skill enables developers to bridge the gap between raw compute resources—like ECS and VKE—and intelligent automation through the Doubao and Seed model families. By leveraging Openclaw Skills, users can transform static infrastructure into dynamic, agent-driven ecosystems capable of reasoning and executing complex tasks.
The core value of this integration lies in its ability to support the full lifecycle of modern AI applications. From declarative infrastructure setup via Terraform to the deployment of modular agent skills, this ecosystem ensures that your intelligent applications are both scalable, secure, and highly responsive to natural language commands.
Volcengine Ecosystem Master Use Cases
- Automating cloud resource management using natural language through Openclaw Skills.
- Deploying containerized AI workloads on Volcengine Kubernetes Engine (VKE) for scalable operations.
- Generating high-fidelity content and code using Doubao and Seed model APIs.
- Orchestrating multi-agent swarms to handle complex research or development tasks.
- Securing AI gateway ports and managing sensitive API credentials within cloud environments.
How Volcengine Ecosystem Master Works
- Initialize cloud infrastructure using Infrastructure as Code tools like Terraform to create VPCs, subnets, and ECS instances.
- Authenticate with the Volcengine MaaS platform using Access Keys to enable communication with LLMs like Doubao.
- Deploy the OpenClaw framework as middleware to bridge AI reasoning with actionable system tools.
- Develop and register modular Openclaw Skills that allow the agent to interact with services like RDS or VKE.
- Orchestrate multiple specialized agents to collaborate on tasks by routing requests through the OpenClaw Gateway.
Volcengine Ecosystem Master Setup
To get started with Volcengine and Openclaw Skills, follow these essential installation and configuration steps:
- Install the Volcengine Python SDK:
pip install volcengine-python-sdk
- Configure your environment variables for secure authentication:
export VOLC_ACCESS_KEY="your_access_key"
export VOLC_SECRET_KEY="your_secret_key"
- Deploy the OpenClaw gateway to manage your agents and skills:
# Start the management service on the default port
python openclaw_gateway.py --port 18789
- Restrict access to the gateway port (18789) via Security Groups to ensure your environment remains safe.
Volcengine Ecosystem Master Data Schema & Taxonomy
The skill organizes its components across several layers to ensure operational clarity and security:
| Layer | Component | Description |
|---|---|---|
| User Interface | OpenClaw Chat | Processes natural language inputs into structured agent tasks. |
| Orchestration | Gateway Metadata | Stores routing logic and skill definitions for Openclaw Skills. |
| Intelligence | MaaS API | Handles model parameters and chat history for Doubao/Seed models. |
| Infrastructure | Resource State | Maintains the configuration of ECS, VKE, and RDS instances. |
All metadata and configuration for Openclaw Skills are stored in structured formats to allow for easy portability and version-controlled infrastructure updates.
Volcengine Ecosystem Master Advanced Features
- Multi-agent collaboration protocols for solving complex, multi-step engineering problems.
- Declarative infrastructure management via Terraform to prevent configuration drift.
- High-concurrency support for production-grade AI content and image generation.
- Custom modular skill development to extend agent capabilities to any external API or database.
- Automated security group management to protect management ports from unauthorized access.
SKILL.md
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