An expert reference skill for selecting, sizing, and implementing robotic grippers and end-effectors.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gripper
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 gripper 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 Gripper?
The Gripper skill is a specialized technical module designed for engineers and developers working in industrial robotics and automation. As part of the Openclaw Skills ecosystem, it provides an authoritative reference for every stage of end-effector development—from initial type selection to high-precision force calculations. It bridges the gap between mechanical design and robotic programming by providing instant access to actuation logic and safety standards.
Whether you are designing custom jaw geometries or troubleshooting grip failures on a production line, this skill offers a structured framework to ensure reliability. By utilizing this within your AI agent workflow, you can automate the retrieval of complex formulas for friction coefficients, safety factors, and circuit design for pneumatic or electric actuators.
Gripper Use Cases
- Selecting the optimal gripper type (parallel, angular, or vacuum) for specific industrial robot applications.
- Calculating the minimum required gripping force for a payload based on mass, acceleration, and friction.
- Comparing the performance benefits of pneumatic versus electric actuators for high-speed pick-and-place tasks.
- Designing custom jaw geometries and suction cup arrays for non-standard part handling.
- Validating gripper commissioning through a comprehensive technical checklist.
How Gripper Works
- The user triggers the skill within an AI agent environment to access specific robotics domain knowledge.
- The skill categorizes the request into specific modules such as force calculation, actuator type, or industry application.
- It references internal data schemas to provide formulas for grip force or technical specifications for pneumatic and electric systems.
- It outputs actionable commands or checklists that guide the developer through hardware selection and safety verification.
- The results are integrated into the broader automation workflow, ensuring all robotic end-effector decisions are backed by engineering standards.
Gripper Setup
To integrate this module into your environment, ensure you have your AI agent configured to recognize Openclaw Skills. You can set a custom data directory by defining the following environment variable:
export GRIPPER_DIR="~/.gripper/"
To view the core functionality and available modules, run the introduction script:
scripts/script.sh intro
Gripper Data Schema & Taxonomy
The skill organizes robotic technical data into structured modules for high-speed retrieval. It follows a taxonomy based on actuation method and mechanical physics:
| Module | Data Type | Purpose |
|---|---|---|
| Force | Formulas | Calculates grip force, safety factors, and friction values. |
| Types | Classification | Details parallel, angular, 3-jaw, and adaptive geometries. |
| Actuators | Specs | Technical comparisons of pneumatic cylinders vs. electric servos. |
| Checklist | Validation | Step-by-step commissioning and safety audit logs. |
Gripper Advanced Features
- Multi-actuator support providing detailed logic for vacuum, magnetic, and soft-robotic grippers.
- Detailed grip force calculation engine including safety factor adjustments for dynamic robotic movements.
- Industry-specific application mapping for automotive, electronics, food, and pharmaceutical sectors.
- Seamless integration with Openclaw Skills for automated hardware selection pipelines.
- Custom jaw design logic for optimizing contact points on complex workpieces.
SKILL.md
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