An intelligent AI strength coach that generates custom workouts from gym photos and tracks progressive overload through local data storage.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trainer-buddy-pro
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install trainer-buddy-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Trainer Buddy Pro is a sophisticated fitness agent within the Openclaw Skills ecosystem designed to act as a private, subscription-free strength and conditioning coach. By leveraging computer vision and historical performance data, it creates highly personalized training programs that adapt in real-time to your equipment, goals, and physical limitations.
Unlike generic fitness apps, this skill maintains a deep memory of your personal records (PRs) and injury history. It utilizes the Epley formula for strength estimation and automatically applies progressive overload principles to ensure consistent athletic growth, making it a professional-grade companion for both home and commercial gym environments.
To deploy Trainer Buddy Pro within your Openclaw Skills environment, ensure your data directory is initialized. Run the following to set up the necessary file structure:
mkdir -p data config scripts
touch data/user-profile.json data/workout-log.json data/pr-history.json
chmod 600 data/user-profile.json
Initialize the user-profile.json with your basic fitness metrics (age, weight, experience level) to begin receiving personalized programming.
The skill manages persistent state using a structured file system within the data directory:
| File | Description | Key Fields |
|---|---|---|
user-profile.json |
Core user identity and physical constraints | experience_level, injuries, preferred_split |
workout-log.json |
Historical record of all completed sessions | split_day, sets, reps, weight_lbs, rpe |
pr-history.json |
Auto-calculated personal record tracking | exercise_name, max_weight, estimated_1rm |
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