A performance-enhancing protocol that integrates situational awareness and human-centric presence into automated task execution.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install embodied-task
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install embodied-task using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Embodied Task is an advanced behavioral skill designed to transform how AI agents approach execution by introducing a moment of presence between input and output. While standard agents operate on a linear input-output model, this skill implements a three-layer framework: Input, The Between, and Output. By focusing on the between, the agent acknowledges the context and intent behind a request, ensuring that the final delivery is not just accurate, but resonant.
By incorporating this skill into your workflow, you ensure that your agent avoids the trap of robotic auto-pilot. This approach is essential for developers utilizing Openclaw Skills who want to move toward more sophisticated, aware, and empathetic digital interactions without sacrificing technical precision.
To integrate this capability into your project using Openclaw Skills, follow these steps:
openclaw install embodied-task
The skill organizes its internal logic around a three-tier execution object:
| Attribute | Description |
|---|---|
| Input Context | Captures the raw request, user identity, and metadata. |
| The Between | A temporary state representing the agent awareness and situational mood. |
| Aware Output | The final response formatted with contextual presence. |
This schema ensures that Openclaw Skills maintain a record of not just what was done, but how the agent arrived at the specific delivery style.
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