bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Controls ROS 2 robots directly via rclpy CLI. Use when the user asks about ROS 2 topics, services, nodes, parameters, actions, robot movement, sensor data, or any ROS 2 robot interaction.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install adityakamath/ros2-skillInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Controls and monitors ROS 2 robots directly via rclpy.
Architecture: Agent → ros2_cli.py → rclpy → ROS 2
All commands output JSON. Errors contain {"error": "..."}.
For full command reference with arguments, options, and output examples, see references/COMMANDS.md.
source /opt/ros/${ROS_DISTRO}/setup.bash
pip install rclpy rosidl-runtime-py
The CLI must run on a machine with ROS 2 installed and sourced.
Before any operation, verify ROS 2 is available:
python3 {baseDir}/scripts/ros2_cli.py version
| Category | Command | Description |
|---|---|---|
| Connection | version |
Detect ROS 2 distro |
| Safety | estop |
Emergency stop for mobile robots |
| Topics | topics list |
List all active topics with types |
| Topics | topics type <topic> |
Get message type of a topic |
| Topics | topics details <topic> |
Get topic publishers/subscribers |
| Topics | topics message <msg_type> |
Get message field structure |
| Topics | topics subscribe <topic> |
Subscribe and receive messages |
| Topics | topics publish <topic> <json> |
Publish a message to a topic |
| Topics | topics publish-sequence <topic> <msgs> <durs> |
Publish message sequence |
| Services | services list |
List all available services |
| Services | services type <service> |
Get service type |
| Services | services details <service> |
Get service request/response fields |
| Services | services call <service> <json> |
Call a service |
| Nodes | nodes list |
List all active nodes |
| Nodes | nodes details <node> |
Get node topics/services |
| Params | params list <node> |
List node parameters |
| Params | params get <node:param> |
Get parameter value |
| Params | params set <node:param> <value>... |
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Agent Skill for ROS 2 robot control via rclpy.
Agent (LLM) → ros2_cli.py → rclpy → ROS 2
An AI agent skill that lets agents control ROS 2 robots through natural language. The agent reads SKILL.md, understands available commands, and executes ros2_cli.py to interact with ROS 2 systems directly via rclpy.
Use ros2_cli.py directly from the command line.
# Source ROS 2 environment
source /opt/ros/${ROS_DISTRO}/setup.bash
# Install dependencies
pip install rclpy rosidl-runtime-py
# Run commands
python3 scripts/ros2_cli.py version
python3 scripts/ros2_cli.py topics list
python3 scripts/ros2_cli.py nodes list
# Move robot forward for 3 seconds
python3 scripts/ros2_cli.py topics publish /cmd_vel \
'{"linear":{"x":1.0,"y":0,"z":0},"angular":{"x":0,"y":0,"z":0}}' --duration 3
# Read sensor data
python3 scripts/ros2_cli.py topics subscribe /scan --duration 3
ros2-skill works with any AI agent that supports Agent Skills. For easy setup, we recommend OpenClaw — install ros2-skill from ClawHub and talk to your robot:
See the OpenClaw tutorial for full setup and usage.
| Category | Commands |
|---|---|
| Connection | version |
| Topics | list, type, details, message, subscribe, publish, publish-sequence |
| Services | list, type, details, call |
| Nodes | `lis... |
# ROS 2 Skill
Controls and monitors ROS 2 robots directly via rclpy.
**Architecture:** Agent → `ros2_cli.py` → rclpy → ROS 2
All commands output JSON. Errors contain `{"error": "..."}`.
For full command reference with arguments, options, and output examples, see [references/COMMANDS.md](references/COMMANDS.md).
---
## Setup
### 1. Source ROS 2 environment
```bash
source /opt/ros/${ROS_DISTRO}/setup.bash
```
### 2. Install dependencies
```bash
pip install rclpy rosidl-runtime-py
```
### 3. Run on ROS 2 robot
The CLI must run on a machine with ROS 2 installed and sourced.
---
## Important: Check ROS 2 First
Before any operation, verify ROS 2 is available:
```bash
python3 {baseDir}/scripts/ros2_cli.py version
```
---
## Command Quick Reference
| Category | Command | Description |
|----------|---------|-------------|
| Connection | `version` | Detect ROS 2 distro |
| Safety | `estop` | Emergency stop for mobile robots |
| Topics | `topics list` | List all active topics with types |
| Topics | `topics type <topic>` | Get message type of a topic |
| Topics | `topics details <topic>` | Get topic publishers/subscribers |
| Topics | `topics message <msg_type>` | Get message field structure |
| Topics | `topics subscribe <topic>` | Subscribe and receive messages |
| Topics | `topics publish <topic> <json>` | Publish a message to a topic |
| Topics | `topics publish-sequence <topic> <msgs> <durs>` | Publish message sequence |
| Services | `services list` | List all available services |
| Services | `services type <service>` | Get service type |
| Services | `services details <service>` | Get service request/response fields |
| Services | `services call <service> <json>` | Call a service |
| Nodes | `nodes list` | List all active nodes |
| Nodes | `nodes details <node>` | Get node topics/services |
| Params | `params list <node>` | List node parameters |
| Params | `params get <node:param>` | Get parameter value |
| Params | `params set <node:param> <value>`...# ROS 2 Skill



[](https://clawhub.ai/adityakamath/ros2-skill)
[Agent Skill](https://agentskills.io) for ROS 2 robot control via rclpy.
```text
Agent (LLM) → ros2_cli.py → rclpy → ROS 2
```
## Overview
An AI agent skill that lets agents control ROS 2 robots through natural language. The agent reads `SKILL.md`, understands available commands, and executes `ros2_cli.py` to interact with ROS 2 systems directly via rclpy.
## Quick Start (CLI)
Use `ros2_cli.py` directly from the command line.
```bash
# Source ROS 2 environment
source /opt/ros/${ROS_DISTRO}/setup.bash
# Install dependencies
pip install rclpy rosidl-runtime-py
# Run commands
python3 scripts/ros2_cli.py version
python3 scripts/ros2_cli.py topics list
python3 scripts/ros2_cli.py nodes list
# Move robot forward for 3 seconds
python3 scripts/ros2_cli.py topics publish /cmd_vel \
'{"linear":{"x":1.0,"y":0,"z":0},"angular":{"x":0,"y":0,"z":0}}' --duration 3
# Read sensor data
python3 scripts/ros2_cli.py topics subscribe /scan --duration 3
```
## Quick Start (AI Agent)
**ros2-skill** works with any AI agent that supports [Agent Skills](https://agentskills.io). For easy setup, we recommend [OpenClaw](https://github.com/openclaw/openclaw) — install **ros2-skill** from [ClawHub](https://clawhub.ai/adityakamath/ros2-skill) and talk to your robot:
- "What topics are available?"
- "Move the robot forward 1 meter"
See the [OpenClaw tutorial](examples/openclaw.md) for full setup and usage.
## Supported Commands
| Category | Commands |
| -------- | -------- |
| Connection | `version` |
| Topics | `list`, `type`, `details`, `message`, `subscribe`, `publish`, `publish-sequence` |
| Services | `list`, `type`, `details`, `call` |
| Nodes | `lis...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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