A comprehensive fitness management system for logging workouts, tracking personal records, and receiving intelligent, goal-oriented coaching.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gym
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 gym 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 Gym Skill?
The Gym Skill is a robust fitness framework designed to turn your AI agent into a dedicated personal trainer and data-driven coach. By maintaining a structured local repository of your workouts, it ensures that your fitness data is private, persistent, and highly organized. It goes beyond simple logging by implementing professional training principles like progressive overload, RPE-based auto-regulation, and scheduled deload cycles, making it a powerful addition to the Openclaw Skills ecosystem for anyone serious about physical improvement.
Built with safety and efficiency in mind, the skill prioritizes injury prevention by respecting physical restrictions and ensuring adequate recovery between sessions. Whether you are a beginner looking for a routine or an advanced athlete tracking high-volume tonnage, this skill adapts to your evolving performance data to keep you on the path toward your goals.
Gym Skill Use Cases
- Log daily strength and hypertrophy sessions with precise sets, reps, and weight tracking.
- Generate custom workout routines tailored to available equipment and weekly schedules.
- Monitor personal records (PRs) and body measurements over time to visualize progress.
- Automatically adapt training frequency and intensity when sessions are missed or fatigue is high.
- Implement injury-specific modifications to ensure safe training regardless of physical limitations.
How Gym Skill Works
- The skill initializes by parsing your user profile in memory.md to understand your experience level, fitness goals, and equipment constraints.
- Before suggesting a workout, it analyzes historical data from workouts.md and progress.md to determine appropriate loads using progressive overload logic.
- During a session, the skill logs your performance and tracks rest periods based on your specific training focus (strength vs. hypertrophy).
- After each session, the skill updates personal records and calculates total volume to monitor long-term trends.
- It proactively suggests deload weeks or recovery strategies if persistent fatigue is detected or if training frequency exceeds recovery limits.
Gym Skill Setup
To get started with the Gym Skill, ensure your environment is ready to store markdown files. Openclaw Skills users can initialize the directory structure using the following commands:
mkdir -p ~/gym/
touch ~/gym/memory.md
Populate the memory.md file with your level, goals, schedule, and any physical restrictions to allow the agent to personalize your training plan effectively.
Gym Skill Data Schema & Taxonomy
The skill maintains a flat-file database in the ~/gym/ directory for maximum portability and human-readability:
| File | Data Type | Description |
|---|---|---|
memory.md |
Profile | Stores goals, equipment, and medical restrictions. |
workouts.md |
Logs | Sequential record of every exercise, set, and rep. |
prs.md |
Records | A dedicated list of all-time best lifts by category. |
measurements.md |
Biometrics | Tracking for body weight and physical dimensions. |
adaptation.md |
Logic | Specific modifications used to work around injuries. |
Gym Skill Advanced Features
- Auto-Regulated Training: Uses RPE (Rate of Perceived Exertion) inputs to adjust future weight and volume recommendations.
- Progressive Overload Automation: Automatically calculates +2.5kg or rep increases based on successful completion of prior sessions.
- Injury Mitigation: Scans restrictions before every session to swap unsafe movements for viable alternatives.
- Fatigue Monitoring: Tracks volume intensity within Openclaw Skills to trigger deload cycles every 4-6 weeks, preventing overtraining.
SKILL.md
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