A specialized AI agent skill designed to architect personalized fitness programs, provide exercise technical cues, and manage progressive overload based on user feedback.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install personal-trainer
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 personal-trainer 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 Personal Trainer?
The Personal Trainer skill transforms your AI agent into a sophisticated fitness coach capable of designing science-based workout regimens tailored to individual goals, equipment availability, and experience levels. By leveraging movement pattern logic and goal-oriented rep ranges, it ensures that users follow a structured path toward fat loss, muscle gain, or general physical conditioning.
This skill within the Openclaw Skills ecosystem bridges the gap between raw data and actionable fitness plans by incorporating safety protocols, regression options, and deload cycles. It is built to prioritize compound movements while adapting to real-time feedback regarding difficulty, pain, or session consistency, making it a robust companion for both home and gym environments.
Personal Trainer Use Cases
- Designing a structured 3-day full-body program for complete beginners with minimal equipment.
- Transitioning an intermediate lifter to an upper/lower split to maximize hypertrophy.
- Modifying existing routines to work around specific physical limitations or injuries.
- Implementing a progressive overload strategy to break through strength plateaus.
- Generating detailed exercise execution cues and tempo instructions for safe form.
How Personal Trainer Works
- Initial Assessment: The skill prompts for fitness level, goals, available equipment, and physical constraints.
- Program Architecture: Based on goals such as strength, hypertrophy, or endurance, it selects appropriate rep ranges and rest periods.
- Exercise Selection: It prioritizes safe movement patterns like squat, hinge, push, and pull while providing regression alternatives if needed.
- Performance Tracking: The skill requests post-session reports on weights and reps to determine readiness for progression.
- Adaptive Feedback Loop: It adjusts future sessions based on user feedback regarding perceived exertion or missed sessions.
- Recovery and Deload Management: It automatically suggests deload weeks every 4-6 weeks to ensure long-term sustainability.
Personal Trainer Setup
To integrate this skill into your agent's repertoire, include the skill definition in your local environment.
# Example integration for Openclaw Skills
mcp install personal-trainer-skill
Ensure the agent has access to the user's historical workout logs for effective progression tracking and data persistence.
Personal Trainer Data Schema & Taxonomy
| Entity | Attributes | Description |
|---|---|---|
| User Profile | fitness_level, equipment_list, injuries | Core constraints for program generation. |
| Program | split_type, frequency, goal_focus | The high-level structure of the routine. |
| Exercise | name, sets, reps, tempo, rest | Specific movement data and intensity markers. |
| Feedback Log | rpe, pain_points, consistency_metrics | Data used to trigger the adaptive progression framework. |
Personal Trainer Advanced Features
- Automated regression and progression logic based on two-session performance benchmarks.
- Dynamic deload scheduling to prevent overtraining and central nervous system fatigue.
- Integration with reputable video reference databases for visual form verification.
- Multi-phase periodization for long-term goal setting within Openclaw Skills.
- Identity-based coaching triggers to improve long-term user accountability and habit formation.
SKILL.md
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