A comprehensive meta-skill framework designed to help teachers, parents, and coaches effectively transfer embodied physical knowledge to learners.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install teaching-physical-skills
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 teaching-physical-skills 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 Teaching Physical Skills?
This skill provides a systematic approach to teaching physical or embodied tasks that require real-time observation and hands-on adjustment. While many AI tools focus on theory, this module from Openclaw Skills bridges the gap into the physical world by offering structured methods for motor skill acquisition. It covers everything from basic movements like tying shoes to complex coordination tasks like driving a car or swimming.
The framework is built upon proven motor learning principles, focusing on how the brain and body work together to build permanent movement patterns. By using these Openclaw Skills, you can move beyond mediocre instruction and utilize a professional demonstration-practice-feedback loop that respects the learner's emotional state and developmental stage.
Teaching Physical Skills Use Cases
- Teaching a child to ride a bike using a balance-first methodology instead of training wheels.
- Instructing a beginner or teenager on the fundamentals of safe driving and vehicle control.
- Guiding a new cook through professional knife skills, focusing on the claw grip and rocking motions.
- Helping a learner overcome the fear of water through a progressive swimming comfort protocol.
- Coaching sports-specific movements like throwing, catching, or swinging with proper follow-through.
How Teaching Physical Skills Works
- Demonstrate the skill at normal speed to show the end goal, then repeat slowly while narrating the specific actions.
- Break the movement down into 2 to 4 key components for isolated part practice.
- Provide uninterrupted practice time to allow the learner to build motor patterns and feel the movement.
- Deliver specific, one-at-a-time feedback to correct form without overwhelming the learner's cognitive load.
- Progress to higher complexity or varied conditions only after the learner reaches 70-80 percent consistency.
Teaching Physical Skills Setup
To install the Teaching Physical Skills module for your AI agent, use the following command:
npx clawhub install teaching-physical-skills
This skill requires the filesystem tool to manage learner progress, session notes, and instructional states.
Teaching Physical Skills Data Schema & Taxonomy
The skill organizes its instructional data and learner progress using a structured state schema:
| Component | Description |
|---|---|
user_context |
Tracks the specific skill being taught, learner age, and previous experience. |
instruction_phase |
Monitors the current step in the demonstration-practice-feedback loop. |
learner_status |
Logs fear levels, frustration, and current consistency percentages (0-100%). |
automation_triggers |
Logic gates for intervening when a learner hits a plateau or experiences high frustration. |
follow_up |
A dedicated space for scheduling the next practice session and keeping progress notes. |
Teaching Physical Skills Advanced Features
- Contextual adaptation for local rules, such as driving on the left vs. right or metric vs. imperial tool measurements.
- Age-specific instruction modes that adjust attention span expectations and feedback styles for toddlers, children, teens, or adults.
- Fear and frustration intervention triggers that automatically suggest lower-stakes practice when a learner is blocked.
- Constraint-led approach tips that modify the environment to naturally guide the learner toward correct form.
- Performance readiness checklists to objectively determine when a learner is prepared to move to the next level of complexity.
SKILL.md
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