A local-first, AI-driven fitness tracking system for managing exercises, routines, and performance progression.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install workouts
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 workouts 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 Workouts?
The Workouts skill provides a structured framework for building a personal fitness laboratory directly within your local environment. By leveraging Openclaw Skills, developers and fitness enthusiasts can maintain a comprehensive log of strength training, cardio, and flexibility routines using a clean markdown-based architecture. It eliminates the need for proprietary fitness apps by keeping all data in a local workspace, allowing for complete privacy and custom analysis.
This skill is designed for long-term athletic development, focusing on high-fidelity data capture including RPE (Rate of Perceived Exertion), volume tonnage, and recovery metrics. It bridges the gap between simple logging and professional-grade performance analysis by automating the identification of personal records and providing proactive insights based on historical performance data.
Workouts Use Cases
- Logging strength training sessions with precise tracking of sets, reps, weight, and RPE.
- Tracking cardiovascular activities like running or rowing with pace, distance, and environmental conditions.
- Managing routine templates for PPL, upper/lower, or full-body splits to streamline daily logging.
- Monitoring personal records (PRs) across various rep ranges to visualize strength gains over time.
- Recording injury history and deload phases to adjust training intensity and ensure safe recovery.
How Workouts Works
- Initialize the local workspace at ~/workouts/ with designated directories for logs and routines.
- Record daily workout data into dated markdown files, specifying exercise names and performance metrics.
- The Openclaw Skills logic parses these logs to update a master exercise database and a PR tracking file.
- Analyze training volume and frequency trends to identify plateaus or overtraining risks.
- Receive proactive suggestions for weight increments or exercise variations based on the previous session's performance.
Workouts Setup
To get started with this skill, ensure your agent has access to your local filesystem and initialize your workspace:
mkdir -p ~/workouts/logs ~/workouts/routines
touch ~/workouts/exercises.md ~/workouts/prs.md
Once the directory structure is in place, you can begin logging your first session by telling the agent what you performed. The Openclaw Skills implementation will automatically structure the markdown files according to the defined schema.
Workouts Data Schema & Taxonomy
The skill organizes fitness data using a hierarchical markdown structure to ensure portability and readability:
| Component | Location | Data Captured |
|---|---|---|
| Session Logs | ~/workouts/logs/ |
Date, exercises, sets, weight, RPE, notes |
| Routine Templates | ~/workouts/routines/ |
Planned exercises, target sets, and rep ranges |
| Exercise DB | ~/workouts/exercises.md |
Exercise names, categories, and form cues |
| PR Records | ~/workouts/prs.md |
1RM, 5RM, and distance/time records with dates |
Workouts Advanced Features
- Automated progression analysis that suggests weight increases based on previous successful sets.
- Recovery monitoring that flags potential overtraining if specific muscle groups are targeted too frequently.
- Volume trend visualization, calculating total weekly tonnage (sets x reps x weight) to ensure progressive overload.
- Injury and deload tracking to maintain a historical record of physical modifications and recovery timelines.
- Integration points for scheduling workouts via calendar tools or tracking consistency through habit modules.
SKILL.md
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