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whoopskill skill

/skills/koala73/whoopskill

This skill fetches WHOOP health metrics and delivers trends, insights, and summaries to help optimize training and recovery.

npx playbooks add skill openclaw/skills --skill whoopskill

Review the files below or copy the command above to add this skill to your agents.

Files (19)
SKILL.md
6.0 KB
---
name: whoopskill
description: WHOOP CLI with health insights, trends analysis, and data fetching (sleep, recovery, HRV, strain).
homepage: https://github.com/koala73/whoopskill
metadata: {"clawdis":{"emoji":"💪","requires":{"bins":["node"],"env":["WHOOP_CLIENT_ID","WHOOP_CLIENT_SECRET","WHOOP_REDIRECT_URI"]},"install":[{"id":"npm","kind":"npm","package":"whoopskill","bins":["whoopskill"],"label":"Install whoopskill (npm)"}]}}
---

# whoopskill

Use `whoopskill` to fetch WHOOP health metrics (sleep, recovery, HRV, strain, workouts).

Install: `npm install -g whoopskill` | [GitHub](https://github.com/koala73/whoopskill)

Quick start
- `whoopskill summary` — one-liner: Recovery: 52% | HRV: 39ms | Sleep: 40% | Strain: 6.7
- `whoopskill summary --color` — color-coded summary with 🟢🟡🔴 status indicators
- `whoopskill trends` — 7-day trends with averages and direction arrows
- `whoopskill trends --days 30 --pretty` — 30-day trend analysis
- `whoopskill insights --pretty` — AI-style health recommendations
- `whoopskill --pretty` — human-readable output with emojis
- `whoopskill recovery` — recovery score, HRV, RHR
- `whoopskill sleep` — sleep performance, stages
- `whoopskill workout` — workouts with strain
- `whoopskill --date 2025-01-03` — specific date

Analysis commands
- `summary` — quick health snapshot (add `--color` for status indicators)
- `trends` — multi-day averages with trend arrows (↑↓→)
- `insights` — personalized recommendations based on your data

Data types
- `profile` — user info (name, email)
- `body` — height, weight, max HR
- `sleep` — sleep stages, efficiency, respiratory rate
- `recovery` — recovery %, HRV, RHR, SpO2, skin temp
- `workout` — strain, HR zones, calories
- `cycle` — daily strain, calories

Combine types
- `whoopskill --sleep --recovery --body`

Auth
- `whoopskill auth login` — OAuth flow (opens browser)
- `whoopskill auth status` — check token status
- `whoopskill auth logout` — clear tokens

Notes
- Output is JSON to stdout (use `--pretty` for human-readable)
- Tokens stored in `~/.whoop-cli/tokens.json` (auto-refresh)
- Uses WHOOP API v2
- Date follows WHOOP day boundary (4am cutoff)
- WHOOP apps with <10 users don't need review (immediate use)

Sample: `whoopskill summary --color`
```
📅 2026-01-25
🟢 Recovery: 85% | HRV: 39ms | RHR: 63bpm
🟡 Sleep: 79% | 6.9h | Efficiency: 97%
🔴 Strain: 0.1 (optimal: ~14) | 579 cal
```

Sample: `whoopskill trends`
```
📊 7-Day Trends

💚 Recovery: 62.1% avg (34-86) →
💓 HRV: 33.8ms avg (26-42) →
❤️ RHR: 63.8bpm avg (60-68) →
😴 Sleep: 75.4% avg (69-79) →
🛏️ Hours: 6.5h avg (5.7-7.8) ↓
🔥 Strain: 5.9 avg (0.1-9.0) ↓
```

Sample: `whoopskill insights`
```
💡 Insights & Recommendations

✅ Green Recovery
   Recovery at 85% — body is primed for high strain.
   → Great day for intense training or competition.

✅ HRV Above Baseline
   Today's HRV (39ms) is 21% above your 7-day average.
   → Excellent recovery. Good day for peak performance.

⚠️ Mild Sleep Debt
   You have 2.0 hours of sleep debt.
   → Consider an earlier bedtime tonight.

✅ Strain Capacity Available
   Current strain: 0.1. Optimal target: ~14.
   → Room for 13.9 more strain today.
```

Sample: `whoopskill --sleep --recovery` (JSON)
```json
{
  "date": "2026-01-05",
  "fetched_at": "2026-01-05T13:49:22.782Z",
  "body": {
    "height_meter": 1.83,
    "weight_kilogram": 82.5,
    "max_heart_rate": 182
  },
  "sleep": [
    {
      "id": "4c311bd4-370f-49ff-b58c-0578d543e9d2",
      "cycle_id": 1236731435,
      "user_id": 245199,
      "created_at": "2026-01-05T00:23:34.264Z",
      "updated_at": "2026-01-05T02:23:54.686Z",
      "start": "2026-01-04T19:51:57.280Z",
      "end": "2026-01-05T01:30:48.660Z",
      "timezone_offset": "+04:00",
      "nap": false,
      "score_state": "SCORED",
      "score": {
        "stage_summary": {
          "total_in_bed_time_milli": 20331380,
          "total_awake_time_milli": 4416000,
          "total_light_sleep_time_milli": 6968320,
          "total_slow_wave_sleep_time_milli": 4953060,
          "total_rem_sleep_time_milli": 3994000,
          "sleep_cycle_count": 4,
          "disturbance_count": 4
        },
        "sleep_needed": {
          "baseline_milli": 26783239,
          "need_from_sleep_debt_milli": 6637715,
          "need_from_recent_strain_milli": 148919
        },
        "respiratory_rate": 14.12,
        "sleep_performance_percentage": 40,
        "sleep_consistency_percentage": 60,
        "sleep_efficiency_percentage": 78.28
      }
    }
  ],
  "workout": [
    {
      "id": "4279883e-3d23-45cd-848c-3afa28dca3f8",
      "user_id": 245199,
      "start": "2026-01-05T03:14:13.417Z",
      "end": "2026-01-05T04:06:45.532Z",
      "sport_name": "hiit",
      "score_state": "SCORED",
      "score": {
        "strain": 6.19,
        "average_heart_rate": 108,
        "max_heart_rate": 144,
        "kilojoule": 819.38,
        "zone_durations": {
          "zone_zero_milli": 167000,
          "zone_one_milli": 1420000,
          "zone_two_milli": 1234980,
          "zone_three_milli": 330000,
          "zone_four_milli": 0,
          "zone_five_milli": 0
        }
      }
    }
  ],
  "profile": {
    "user_id": 245199,
    "email": "[email protected]",
    "first_name": "John",
    "last_name": "Doe"
  },
  "recovery": [
    {
      "cycle_id": 1236731435,
      "sleep_id": "4c311bd4-370f-49ff-b58c-0578d543e9d2",
      "user_id": 245199,
      "score_state": "SCORED",
      "score": {
        "recovery_score": 52,
        "resting_heart_rate": 60,
        "hrv_rmssd_milli": 38.87,
        "spo2_percentage": 96.4,
        "skin_temp_celsius": 33.19
      }
    }
  ],
  "cycle": [
    {
      "id": 1236731435,
      "user_id": 245199,
      "start": "2026-01-04T19:51:57.280Z",
      "end": null,
      "score_state": "SCORED",
      "score": {
        "strain": 6.66,
        "kilojoule": 6172.94,
        "average_heart_rate": 71,
        "max_heart_rate": 144
      }
    }
  ]
}
```

Overview

This skill provides a WHOOP CLI for fetching health metrics, running trend analysis, and generating actionable insights for sleep, recovery, HRV, and strain. It delivers quick snapshots, multi-day trends, and AI-style recommendations via simple terminal commands. Designed for athletes and health-conscious users who want automated, scriptable access to WHOOP data.

How this skill works

The CLI authenticates via OAuth and queries the WHOOP API v2 to pull profile, body, sleep, recovery, workout, and cycle data. Commands like summary, trends, and insights compute averages, deltas, and basic interpretation (status indicators, arrows, and recommendations). Output is JSON by default for automation and can be formatted human-readable with --pretty or color-coded with --color.

When to use it

  • Get a fast daily health snapshot before training or competition.
  • Track 7- to 30-day trends to spot declines or improvements in recovery and sleep.
  • Automate data pulls for backups, dashboards, or longitudinal analysis.
  • Request targeted data for a given date to investigate a specific session or night.
  • Integrate with scripts or monitoring tools that consume JSON outputs.

Best practices

  • Use auth login once per device to enable secure token refresh and avoid manual re-authentication.
  • Combine flags (e.g., --sleep --recovery --body) to fetch only the data you need and reduce API calls.
  • Use --pretty for human review and raw JSON for ingestion into analytics pipelines.
  • Respect WHOOP day boundary (4:00 AM cutoff) when querying specific dates to match device cycles.
  • Schedule regular exports if you want an archival history or to maintain a local backup.

Example use cases

  • Run whoopskill summary every morning in a startup script to decide training intensity.
  • Generate 30-day whoopskill trends --days 30 --pretty before a coaching session to review workload.
  • Pipe JSON output from whoopskill --sleep --recovery into a personal dashboard or spreadsheet.
  • Use whoopskill insights to get quick, evidence-based recommendations on sleep and strain adjustments.
  • Fetch workout and strain data after events to compute weekly load and recovery capacity.

FAQ

How does authentication work?

Use whoopskill auth login to open an OAuth flow in your browser. Tokens are stored locally and auto-refreshed.

Can I automate exports?

Yes. The CLI outputs JSON to stdout and is safe to run from scheduled jobs; combine with --date to fetch historical days.