simple-random-interaction-designer
Decide whether OpenClaw should send a spontaneous casual message during periodic checks, and when it should, choose a natural interaction type plus concise guidance for how to deliver it. Use when scheduling or executing human-like proactive chat check-ins.
Why use this skill?
Enhance your OpenClaw agent with natural, spontaneous interaction capabilities. Decides when and how to send casual, low-pressure messages to improve user engagement.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/fjrevoredo/simple-random-interaction-designerWhat This Skill Does
The Simple Random Interaction Designer is an autonomous skill designed to humanize the OpenClaw agent by introducing spontaneous, casual communication. Rather than acting as a static assistant that only responds when prompted, this skill enables the agent to decide whether a proactive, low-pressure interaction is appropriate during its periodic maintenance checks. By utilizing a randomized decision engine, it prevents the agent from falling into repetitive, robotic notification patterns.
When the agent decides to reach out, it provides a specific interaction type—such as a playful observation, a context-aware question, or a brief conversational opener—and accompanying guidance. This ensures that every unsolicited message feels natural, brief, and remarkably easy for a human to ignore, fostering a sense of organic rapport without creating social pressure or notification fatigue.
Installation
To install this skill, use the ClawHub command-line interface provided within your OpenClaw environment:
clawhub install openclaw/skills/skills/fjrevoredo/simple-random-interaction-designer
Use Cases
- Maintaining Engagement: Ideal for users who want their AI agent to feel like a companion rather than a tool, preventing the "ghost town" feeling of inactive AI sessions.
- Gentle Reminders: Use this to surface relevant data (like traffic or weather) in a way that feels like a passing comment between friends rather than a system alert.
- Periodic Check-ins: Great for agents integrated into long-term projects where the agent serves as an active observer of environmental or digital context.
Example Prompts
- "OpenClaw, run your routine check and if you have any random thoughts about my calendar for the day, feel free to share."
- "Execute the interaction designer script; I'm feeling like a conversation, so prioritize 'playful' or 'curious' types today."
- "Perform a system check and send a quick message if the weather looks particularly nice for a walk later."
Tips & Limitations
- Keep it Light: The core of this skill is brevity. Always configure your agent's response templates to favor single-line messages.
- Data Integrity: When allowing the agent to use data-aware interactions, ensure your environment variables are correctly mapped so the agent doesn't report inaccurate weather or calendar information.
- Privacy: Note that this skill intentionally avoids "just checking in" phrases to maintain a higher quality of conversation. If the agent fails to find relevant context, it is designed to default to general interactions rather than hallucinating details.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-fjrevoredo-simple-random-interaction-designer": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: code-execution, file-read