An AI-powered co-regulation guide designed to help parents support children aged 3-8 through emotional meltdowns and relationship repair.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install patpat
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 patpat 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 PatPat: AI Child Co-Regulation Assistant?
PatPat is a specialized tool within the Openclaw Skills ecosystem designed to provide immediate, actionable support for parents navigating the emotional complexities of early childhood. It operates on the principle that a regulated adult is a prerequisite for a regulated child, prioritizing parent stabilization before offering child-facing guidance. By focusing on connection before correction, the skill helps transform stressful family moments into opportunities for emotional growth and secure attachment.
This skill uses a scaffolded approach to emotional mentoring, providing repeatable rituals and narratives that help children feel seen and safe. Whether dealing with an active crisis or building long-term emotional literacy, the skill ensures that parents have the cognitive support they need when their own bandwidth is low.
PatPat: AI Child Co-Regulation Assistant Use Cases
- Managing active meltdowns where a child is crying, yelling, hitting, or refusing to cooperate.
- Facilitating reconnection and apologies after a conflict has occurred through structured repair scripts.
- Building proactive emotional skills during calm periods using daily practice rituals.
- Providing immediate self-rescue steps for parents who feel they are losing control during high-stress interactions.
How PatPat: AI Child Co-Regulation Assistant Works
- The AI analyzes the user input to route the request into one of three specific modes: Meltdown Now, Repair After, or Daily Practice.
- It collects essential data points including the child's age band, visible emotional state, and the parent's current level of regulation.
- A safety risk assessment is performed, categorizing the situation into Green, Yellow, or Red risk levels to determine the appropriate depth of intervention.
- The system generates immediate parent-facing guidance, including one specific action to take and one specific phrase to say.
- If the situation is safe, it provides child-facing content such as emotion creature stories or co-regulation activities like synchronized breathing.
- The workflow concludes with a single follow-up reminder for long-term emotional maintenance.
PatPat: AI Child Co-Regulation Assistant Setup
To deploy PatPat within your environment, ensure that the referenced logic components are accessible to your agent. Openclaw Skills utilize a modular architecture where specific files govern narrative and coaching logic.
# Create the necessary directory structure
mkdir -p logic
# Ensure the following logic files are present in your workspace:
# logic/story-engine.md
# logic/emotion-creatures.md
# logic/parent-coach.md
Once the logic files are in place, the agent will automatically apply the hard routing rules and safety protocols defined in the core configuration.
PatPat: AI Child Co-Regulation Assistant Data Schema & Taxonomy
The skill organizes its operations through a structured metadata and triage system:
| Data Component | Description |
|---|---|
| Entry Modes | Routes interactions into Meltdown Now, Repair After, or Daily Practice. |
| Age Bands | Customizes output for developmental stages: 3-4, 5-6, or 7-8 years old. |
| Risk Levels | Triage system (Green/Yellow/Red) for determining coaching vs. safety guidance. |
| Parent States | Identifies underlying parent triggers like Anger, Fear, Shame, or Exhaustion. |
| Emotion Mapping | Links physical body signals to specific 'emotion creatures' for child-facing narratives. |
PatPat: AI Child Co-Regulation Assistant Advanced Features
- Hard routing logic that overrides standard AI responses in high-risk or high-dysregulation scenarios.
- Dynamic story generation engine that adapts metaphors based on the child's age and physical symptoms.
- Parent self-rescue protocols designed to lower adult cortisol levels before child intervention begins.
- Integrated co-regulation action library featuring grounding techniques and sensory-based calming rituals.
- Automated safety boundaries that halt narrative output in favor of emergency guidance during Red level crises.
SKILL.md
Loading
Related Openclaw Skills
FormatGate
A high-performance conversion engine for bi-directional translation between JSON, YAML, and TOML data formats.
HealthProbe
A lightweight diagnostic service to probe any URL for HTTP status, response latency, and health status with configurable timeouts.
OMA LwM2M Protocol Expert
A specialized technical assistant for designing, implementing, and troubleshooting OMA Lightweight Machine-to-Machine (LwM2M) protocol architectures.
Conversion Path Optimizer Claw
An intelligent sales consultant tool designed to analyze acquisition funnels, discover high-conversion sales scripts, and provide actionable optimization recommendations.
DingTalk Bridge
A powerful bridge connecting Claude Code to DingTalk group chats for automated messaging and interactive AI bot responses.
Subtitle Generator Download
A high-performance AI tool to generate and download video subtitles with cloud-based GPU rendering and professional 1080p export.
Featured*
