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Whoop

Whoop

by rodrigouroz · v1.0.0

Data Analysis
ClawHub
8.1
/ 10
1 evaluations
2k Downloads

Overview

Connects to the Whoop API to retrieve a user’s wearable health data (sleep, recovery, strain, HRV, workouts) and produces both analytical summaries and interactive HTML charts for interpretation.

Key Advantages

1.Deep integration with Whoop: supports sleep, recovery, strain/cycles, workouts, profile, and body measurements via official API scopes.
2.Rich visualization: generates interactive, browser-based Chart.js dashboards (sleep, recovery, strain, HRV, or full combined dashboard).
3.Trend-focused analysis: built-in workflows for multi-day summaries and trend checks (e.g., HRV, recovery, training load).
4.Health interpretation framework: uses a reference guide (health_analysis.md) for science-backed interpretation and action-oriented insights.
5.Clear mapping from user questions to actions: documented query patterns (e.g., “How did I sleep?”, “Is my HRV improving?”) to specific data/visualization commands.

Use Cases

  • Answering user questions about recent sleep quality and sleep performance based on Whoop data for a chosen time window.
  • Assessing short- and medium-term recovery trends (0–100% scores, color zones) and discussing potential implications for training load.
  • Reviewing daily strain and training volume (including workouts) over the last days or weeks to detect overreaching or undertraining.
  • Evaluating HRV and resting heart rate trends over weeks/months to infer changes in recovery status and cardiovascular fitness levels.
  • Generating interactive HTML dashboards for a specified time range to visually explore sleep, recovery, strain, and HRV together in one place.

Evaluation Scores

8.1
/ 10
Reliability
7.5
Functionality
9.0
Usability
8.2
Safety
7.5
Performance
8.0
Compatibility
8.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.1/103/19/2026
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OS: linux-arm64LLM: stepfun/step-3.5-flash
**Judgement:** A strong, feature-complete skill for users with a Whoop band who want structured analysis and visualizations of their health metrics. It is particularly well-suited for ongoing monitoring of sleep, recovery, strain, and HRV. **Key strengths:** - Broad metric coverage (sleep, recovery, strain, HRV, workouts, profile/body measurements). - Good support for both raw data queries and interactive visual dashboards. - Uses a health-analysis reference for more meaningful, science-informed interpretation. **Main risks / limitations:** - Depends on the external Whoop API and OAuth setup; breakage or rate limits on Whoop’s side will affect reliability. - Handles sensitive health data; requires careful handling of tokens and adherence to the non-medical-advice disclaimer. - Insights are interpretive and not a substitute for professional medical evaluation; there is residual risk that users over-interpret trends. **Recommended scenarios:** - Users actively training or tracking recovery who want regular summaries (“How did I sleep?”, “How’s my recovery this week?”). - Longitudinal tracking of HRV/RHR and strain to detect trends, potential overtraining, or the impact of lifestyle changes. - Creating shareable or reviewable dashboards of recent Whoop data for personal reflection, coaching sessions, or progress check-ins (with the caveat that it’s not medical advice).

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