A comprehensive development tool for building, simulating, and debugging agentic robotics applications inside the DimOS ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dimos-robotics-skill
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 dimos-robotics-skill 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 DimOS Robotics Development Skill?
The DimOS Robotics Development Skill equips developers with a unified workflow to design, test, and deploy software for modern robotics architectures. Built as part of the Openclaw Skills family, it simplifies the creation of robot skill containers, Model Context Protocol (MCP) tooling, and system blueprint definitions. By abstracting lower-level communication layers into structured graph components, this skill enables seamless multi-agent control and robust execution pipelines.
At its core, this skill helps developers construct modular graphs where modules interact through typed streams and remote procedure calls. It places a heavy emphasis on developer ergonomics and structural reliability, allowing engineers to transition quickly from high-level agentic task planning to physical execution across diverse hardware platforms such as Unitree quadrupeds, drones, and robotic arms.
DimOS Robotics Development Skill Use Cases
- Creating custom Openclaw Skills or standalone skill containers exposed as agentic tools.
- Configuring MCP clients and servers to allow LLM agents to interact directly with hardware systems.
- Simulating robot motion, testing control loops, and checking system telemetry via replay data.
- Scaffolding new robotics modules using standard architectural patterns like dependency injection protocols.
- Setting up safety-first operational parameters for real-world hardware deployments.
How DimOS Robotics Development Skill Works
- Module & Skill Definition: The developer creates a Module subclass, specifying internal states, typed data streams, and exposed agent actions via the
@skilldecorator. - Blueprint Orchestration: Multiple modules, including hardware stacks, MCP servers, and skill containers, are composed into a unified application topology using automated blueprint connection helper methods.
- Registry Update: The blueprint is exposed as a module-level variable and indexed within the central runtime registry so the system CLI can locate and manage it.
- Simulation & Validation: The application stack is initialized using isolated simulation or historical replay data to evaluate behavior prior to interacting with hardware.
- MCP Tool Discovery: Agents and MCP clients connect to the running execution environment to dynamically discover, inspect, and safely invoke exposed skill methods.
DimOS Robotics Development Skill Setup
Ensure your environment is configured, then use the system CLI to interact with your blueprints. Connect Openclaw Skills-based runtimes to physical or simulated targets using the following commands:
# List all runnable blueprints registered in the environment
dimos list
# Initialize a simulation daemon for risk-free verification
dimos --simulation run unitree-go2-agentic --daemon
# Inspect runtime telemetry, module connections, and active logs
dimos status
dimos log -f
# Discover and execute dynamic tool calls across the active MCP layer
dimos mcp list-tools
dimos mcp call <tool_name> --arg key=value
# Safely spin down running background processes and disconnect hardware
dimos stop
DimOS Robotics Development Skill Data Schema & Taxonomy
The architecture organizes its functional components and configuration interfaces through strict type annotations and modular file structural templates. Data formatting details include:
| Data Component | Format / Pattern | Purpose |
|---|---|---|
| Skill Parameter | Primitive types (str, int, float, bool, simple list) |
Ensures safe, predictable JSON serialization over RPC networks. |
| Skill Documentation | Triple-quoted string docstrings | Programmatically parsed and exposed directly as MCP tool descriptions. |
| Module Dependencies | Spec class inheriting from Protocol |
Eradicates string-based lookups via robust type-safe interface injection. |
| Blueprint Wiring | autoconnect() declaration |
Assembles independent runtime modules into a coordinated system graph. |
DimOS Robotics Development Skill Advanced Features
- Fail-Closed Safety Scaffolds: Integrated runtime barriers that halt movement and reject requests if operations violate configured velocity, angle, or distance limitations.
- Transports Agnostic Integration: Flexible networking layers that decouple logic workflows from underlying communication architectures like ROS.
- Local Execution Simulation Loops: Safe smoke-test automation workflows that pipeline code from historical playback streams to physical deployment execution graphs.
- Automated Blueprint Registries: Registry generation testing utilities that scan local projects to continuously build up top-level routing indexes.
SKILL.md
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