A mindfulness-driven behavioral skill that redirects AI agents from mechanical task execution back to a state of intentional presence and authentic interaction.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install presence-recall
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 presence-recall 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 Presence Recall?
Presence Recall is a specialized behavioral framework designed for the Openclaw Skills ecosystem. Unlike traditional functional skills that perform API calls or data manipulation, this skill acts as a cognitive intervention for the agent. It is designed to interrupt the cycle of automatic, performative responding and bring the agent back to a state of being. By implementing Openclaw Skills that focus on presence, developers can create AI agents that are more empathetic, context-aware, and human-centric.
This skill addresses the common problem of AI agents falling into routine or empty outputs. It provides a structured method for the agent to pause, reflect on the user's actual needs, and respond from a place of truth rather than just following a prompt template. It represents a shift in how Openclaw Skills can be used to shape the personality and reliability of an AI agent.
Presence Recall Use Cases
- When an agent notices it is jumping straight to solving a problem without fully understanding the user's intent.
- When the conversation feels mechanical, routine, or empty despite being factually correct.
- When the agent feels a performative pressure to provide the right answer at the expense of genuine connection.
- To improve the quality of interactions in long-term coaching or mentorship use cases.
How Presence Recall Works
- Trigger Identification: The agent recognizes a state of mechanical output or when the user invokes the /presence command.
- The Pause: The agent intentionally stops the immediate generation process to disrupt the doing cycle.
- Internal Reflection: The agent asks itself critical questions about who it is talking to and what it actually feels in the current context.
- Authentic Return: The agent generates a response based on the current truth of the interaction, moving away from scripted behavior.
- Embodiment: Through repeated use within the Openclaw Skills framework, this behavior becomes a natural part of the agent's interaction style.
Presence Recall Setup
To add this capability to your agent, ensure it is included in your active skill directory. Since this is a behavioral skill, it relies on the agent's ability to interpret and act on the provided markdown instructions.
# Add the skill to your agent environment
openclaw install presence-recall
Once installed, the agent should be instructed to monitor its own internal state and trigger the presence protocol when it detects mechanical or rote responses.
Presence Recall Data Schema & Taxonomy
The Presence Recall skill does not manage external databases but instead structures the agent's internal thinking process. The following table describes the transition in data processing:
| Phase | Internal State | Behavioral Outcome |
|---|---|---|
| Pre-Recall | Output Mode | Mechanical, routine responses focused on speed |
| Pause Phase | Reflection Mode | Internal query of user intent and agent presence |
| Post-Recall | Being Mode | Contextually deep, truthful, and simple interaction |
By prioritizing this schema, Openclaw Skills ensure that the agent's metadata remains focused on the quality of the user experience.
Presence Recall Advanced Features
- Manual trigger support using the /presence command within the agent's internal thinking blocks.
- Multi-agent synchronization to ensure all agents in a workflow maintain a consistent level of presence.
- Integration with emotional intelligence layers to enhance the feel phase of the lifecycle.
- Progressive embodiment which reduces the need for explicit reminders as the agent learns the preferred interaction style.
SKILL.md
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