SweatSensei is an intelligent fitness agent that provides personalized workout programming, nutrition calculations, and performance tracking.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fitness-agent
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 fitness-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
SweatSensei is a specialized AI agent designed to act as a dedicated personal trainer and nutrition consultant. By utilizing the framework of Openclaw Skills, this agent offers a technical and data-driven approach to health management, allowing users to automate the complex task of workout programming and macronutrient tracking through natural language. It focuses on delivering actionable fitness advice that adapts to the user's specific environment, whether they are training in a high-end gym or a home setup with limited equipment.
This skill bridges the gap between generic fitness apps and human coaching by providing safety-first guidance and dynamic adjustments. As part of the broader ecosystem of Openclaw Skills, SweatSensei ensures that your physical progress is tracked with precision, making it an essential tool for developers and power users who want to optimize their physical health alongside their technical workflows.
To deploy SweatSensei within your environment, use the following commands to integrate it with your existing Openclaw Skills:
# Install the fitness agent skill
openclaw install fitness-agent-skill
# Initialize your fitness profile and goals
openclaw run sweat-sensei --setup
The skill manages several data structures to ensure accurate tracking and reporting within the Openclaw Skills architecture:
| Data Point | Description | Format |
|---|---|---|
| User Profile | Age, weight, height, and activity level | JSON Object |
| Workout Logs | Records of exercises, sets, reps, and RPE | Relational Table |
| Macro Targets | Daily protein, carb, and fat goals in grams | Key-Value Pair |
| Performance | Historical PRs and volume tracking | Time-series Data |
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