A logic-driven skill that enables AI agents to decide when and how to initiate spontaneous, low-pressure conversations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install simple-random-interaction-designer
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 simple-random-interaction-designer 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 Simple Random Interaction Designer?
The Simple Random Interaction Designer is a sophisticated utility for Openclaw Skills designed to humanize AI agent behavior through proactive engagement. Instead of waiting for user prompts, this skill uses localized randomness and contextual awareness to determine if a casual message should be sent, ensuring that interactions feel natural rather than programmed.
By integrating this into an agent's workflow, you can transform a reactive tool into a proactive companion. It allows developers to implement check-in logic that respects user boundaries by focusing on brevity and low social pressure, providing value through smart device updates, weather-aware nudges, or simple playful openers without the friction of traditional assistant-like framing.
Simple Random Interaction Designer Use Cases
- Deciding whether to trigger a proactive outreach during periodic system checks.
- Generating low-stakes conversation starters to maintain user engagement.
- Delivering context-aware reminders based on calendar events or real-world data like weather.
- Providing smart home status updates without overwhelming the user.
- Building a more human-like personality for autonomous agents within the Openclaw Skills ecosystem.
How Simple Random Interaction Designer Works
- The agent executes the Python script at scheduled intervals during its routine check.
- The script evaluates internal logic to return a binary decision of yes or no.
- If the decision is no, the process terminates immediately to prevent unnecessary noise.
- If the decision is yes, the script selects an interaction type and provides descriptive guidance for the outreach.
- The agent fetches live context (if required by the interaction type) using available Openclaw Skills or integrations.
- A brief, casual message is drafted and sent to the user, following specific design rules to ensure it remains unobtrusive.
Simple Random Interaction Designer Setup
To use this skill, ensure you have Python 3 installed and the script located in your project's script directory.
# Verify Python installation
python3 --version
# Execute the interaction designer to get a decision
python3 {baseDir}/scripts/random_interaction_designer.py
# Run with a seed for testing specific interaction outcomes
python3 {baseDir}/scripts/random_interaction_designer.py --seed 12345
Simple Random Interaction Designer Data Schema & Taxonomy
The skill utilizes a strict JSON output contract to communicate with the host agent. This ensures compatibility across different Openclaw Skills implementations.
| Property | Type | Description |
|---|---|---|
| decision | string | Returns "yes" or "no" to signal if a message should be sent. |
| interaction_type | string | The specific category from the interaction catalog (only if decision is yes). |
| interaction_description | string | Strategic guidance for the agent to draft the final message content (only if decision is yes). |
Simple Random Interaction Designer Advanced Features
- Localized randomness ensuring the agent doesn't require external API calls for the initial decision.
- Support for data-aware categories including smart-home, weather, calendar, and market updates.
- Automatic error handling that triggers reruns for invalid JSON or missing required fields.
- Built-in tone variance rules to prevent the agent from sounding repetitive or patterned.
- Deterministic testing capabilities via CLI seed arguments for developer debugging.
SKILL.md
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