Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Whoop
Access Whoop wearable health data (sleep, recovery, strain, HRV, workouts) and generate interactive charts. Use when the user asks about sleep quality, recovery scores, strain levels, HRV trends, workout data, or wants health visualizations/graphs from their Whoop band.
skill openclawclawhub Free
Access Whoop wearable health data (sleep, recovery, strain, HRV, workouts) and generate interactive charts. Use when the user asks about sleep quality, recovery scores, strain levels, HRV trends, workout data, or wants health visualizations/graphs from their Whoop band.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/api.md, references/health_analysis.md, scripts/whoop_auth.py, scripts/whoop_chart.py, scripts/whoop_data.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- rodrigouroz
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Whoop
Query health metrics from the Whoop API and generate interactive HTML charts.
1. Create a Whoop Developer App
Go to developer-dashboard.whoop.com Sign in with your Whoop account credentials Create a Team if prompted (any name works) Click Create App (or go to apps/create) Fill in: App name: anything (e.g., "Clawdbot") Scopes: select ALL: read:recovery, read:cycles, read:workout, read:sleep, read:profile, read:body_measurement Redirect URI: http://localhost:9876/callback Click Create — you'll get a Client ID and Client Secret
2. Authenticate
Run the OAuth login flow with your credentials: python3 scripts/whoop_auth.py login \ --client-id YOUR_CLIENT_ID \ --client-secret YOUR_CLIENT_SECRET This opens a browser for Whoop authorization. Log in and approve access. Tokens are stored in ~/.clawdbot/whoop-tokens.json and auto-refresh. Check status: python3 scripts/whoop_auth.py status
Fetching Data
Use scripts/whoop_data.py to get JSON data: # Sleep (last 7 days default) python3 scripts/whoop_data.py sleep --days 14 # Recovery scores python3 scripts/whoop_data.py recovery --days 30 # Strain/cycles python3 scripts/whoop_data.py cycles --days 7 # Workouts python3 scripts/whoop_data.py workouts --days 30 # Combined summary with averages python3 scripts/whoop_data.py summary --days 7 # Custom date range python3 scripts/whoop_data.py sleep --start 2026-01-01 --end 2026-01-15 # User profile / body measurements python3 scripts/whoop_data.py profile python3 scripts/whoop_data.py body Output is JSON to stdout. Parse it to answer user questions.
Generating Charts
Use scripts/whoop_chart.py for interactive HTML visualizations: # Sleep analysis (performance + stages) python3 scripts/whoop_chart.py sleep --days 30 # Recovery bars (color-coded green/yellow/red) python3 scripts/whoop_chart.py recovery --days 30 # Strain & calories trend python3 scripts/whoop_chart.py strain --days 90 # HRV & resting heart rate trend python3 scripts/whoop_chart.py hrv --days 90 # Full dashboard (all 4 charts) python3 scripts/whoop_chart.py dashboard --days 30 # Save to specific file python3 scripts/whoop_chart.py dashboard --days 90 --output ~/Desktop/whoop.html Charts open automatically in the default browser. They use Chart.js with dark theme, stat cards, and tooltips.
Answering Questions
User asksAction"How did I sleep?"whoop_data.py summary --days 7, report sleep performance + hours"How's my recovery?"whoop_data.py recovery --days 7, report scores + trend"Show me a chart for the last month"whoop_chart.py dashboard --days 30"Is my HRV improving?"whoop_data.py recovery --days 30, analyze trend"How much did I train this week?"whoop_data.py workouts --days 7, list activities
Key Metrics
Recovery (0-100%): Green ≥67%, Yellow 34-66%, Red <34% Strain (0-21): Daily exertion score based on HR Sleep Performance: Actual sleep vs. sleep needed HRV (ms): Higher = better recovery, track trend over time RHR (bpm): Lower = better cardiovascular fitness
Health Analysis
When the user asks about their health, trends, or wants insights, use references/health_analysis.md for: Science-backed interpretation of HRV, RHR, sleep stages, recovery, strain, SpO2 Normal ranges by age and fitness level Pattern detection (day-of-week effects, sleep debt, overtraining signals) Actionable recommendations based on data Red flags that suggest medical consultation
Analysis workflow
Fetch data: python3 scripts/whoop_data.py summary --days N Read references/health_analysis.md for interpretation framework Apply the 5-step analysis: Status → Trends → Patterns → Insights → Flags Always include disclaimer that this is not medical advice
References
references/api.md — endpoint details, response schemas, pagination references/health_analysis.md — science-backed health data interpretation guide
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs3 Scripts
- SKILL.md
- references/api.md
- references/health_analysis.md
- scripts/whoop_auth.py
- scripts/whoop_chart.py
- scripts/whoop_data.py