whoopskill for Openclaw

A comprehensive CLI tool for fetching and analyzing WHOOP health metrics including sleep, recovery, HRV, and strain.

koala73
v1.1.0
Jan 25, 2026
1
3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install whoopskill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install whoopskill 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 whoopskill?

whoopskill is a professional command-line interface built to interface directly with the WHOOP API v2, providing developers and data enthusiasts with immediate access to their biometric data. By integrating this tool into your Openclaw Skills library, you can programmatically monitor recovery scores, heart rate variability, and sleep performance without relying on a mobile interface.

The tool is designed for high-performance health tracking, offering both human-readable formatted summaries and raw JSON output. This flexibility makes it an essential utility for those looking to build personal health dashboards, automate lifestyle adjustments based on recovery data, or perform deep-dive trend analysis on their physiological markers.

whoopskill Use Cases

  • Tracking daily recovery and HRV trends directly from a developer terminal.
  • Generating automated health reports and AI-style insights for performance optimization.
  • Exporting raw health data (sleep stages, strain, workouts) into JSON for local storage or analysis.
  • Monitoring 30-day health trends to identify long-term physiological shifts.
  • Quick-glance health status checks using color-coded terminal indicators.

How whoopskill Works

  1. The user initiates the OAuth flow to authorize the tool via the WHOOP API v2.
  2. Access and refresh tokens are securely stored locally in the ~/.whoop-cli/ directory for persistent session management.
  3. Upon command execution, whoopskill queries the WHOOP backend for specific data modules like recovery, sleep, or workouts.
  4. The raw API response is parsed and can be enhanced with trend calculations or insight logic.
  5. The tool outputs the final data to stdout, supporting both interactive terminal use and pipeline automation.

whoopskill Setup

To get started with whoopskill, install the package via npm and configure your API credentials:

npm install -g whoopskill

Ensure your environment variables are set in your shell profile:

export WHOOP_CLIENT_ID='your_client_id'
export WHOOP_CLIENT_SECRET='your_client_secret'
export WHOOP_REDIRECT_URI='your_redirect_uri'

Finally, run the authentication command to link your account:

whoopskill auth login

whoopskill Data Schema & Taxonomy

whoopskill structures data across several key health domains, ensuring a clean taxonomy for your Openclaw Skills workflows:

Domain Description
Recovery Contains recovery percentage, HRV (RMSSD), RHR, SpO2, and skin temperature.
Sleep Details sleep cycles, stages (REM, Light, Deep), efficiency, and respiratory rate.
Workout Captures specific activity strain, heart rate zones, and caloric burn.
Cycle Provides the aggregate daily strain and total calories for a 24-hour period.
Profile User-specific data including height, weight, and max heart rate.

whoopskill Advanced Features

  • Trend direction indicators (arrows) showing the trajectory of your recovery and HRV over 7 or 30 days.
  • AI-style health recommendations that provide actionable advice based on current sleep debt and strain capacity.
  • Support for specific date queries to retrieve historical performance data.
  • Color-coded status indicators (Green/Yellow/Red) for rapid visual assessment of biometric health.
  • Seamless JSON output mode to facilitate integration with other automation scripts and data pipelines.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*