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Fitbit Analytics

Fitbit health and fitness data integration. Fetch steps, heart rate, sleep, activity, calories, and trends from Fitbit Web API. Generate automated health reports and alerts. Requires FITBIT_CLIENT_ID, FITBIT_CLIENT_SECRET, FITBIT_ACCESS_TOKEN, FITBIT_REFRESH_TOKEN.

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Download the package from Yavira.
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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SETUP.md, SKILL.md, docs/PRIVACY.md, docs/TERMS.md, references/api.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: kesslerio
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

Quick Start

# Set Fitbit API credentials export FITBIT_CLIENT_ID="your_client_id" export FITBIT_CLIENT_SECRET="your_client_secret" export FITBIT_ACCESS_TOKEN="your_access_token" export FITBIT_REFRESH_TOKEN="your_refresh_token" # Generate morning briefing with Active Zone Minutes python scripts/fitbit_briefing.py # Fetch daily steps python scripts/fitbit_api.py steps --days 7 # Get heart rate data python scripts/fitbit_api.py heartrate --days 7 # Sleep summary python scripts/fitbit_api.py sleep --days 7 # Generate weekly health report python scripts/fitbit_api.py report --type weekly # Get activity summary python scripts/fitbit_api.py summary --days 7

When to Use

Use this skill when: Fetching Fitbit metrics (steps, calories, heart rate, sleep) Analyzing activity trends over time Setting up alerts for inactivity or abnormal heart rate Generating daily/weekly health reports

1. Daily Briefing

# Generate morning health briefing (includes Active Zone Minutes) python scripts/fitbit_briefing.py # Today's briefing python scripts/fitbit_briefing.py --date 2026-01-20 # Specific date python scripts/fitbit_briefing.py --format brief # 3-line summary python scripts/fitbit_briefing.py --format json # JSON output # Example output includes: # - Yesterday's activities (logged exercises) # - Yesterday's Active Zone Minutes (total, Fat Burn, Cardio, Peak) # - Today's activity summary (steps, calories, floors, distance) # - Heart rate (resting, average, zones) # - Sleep (duration, efficiency, awake episodes) # - Trends vs 7-day average Example JSON output: { "date": "2026-01-21", "steps_today": 8543, "calories_today": 2340, "distance_today": 6.8, "floors_today": 12, "active_minutes": 47, "resting_hr": 58, "avg_hr": 72, "sleep_hours": 7.2, "sleep_efficiency": 89, "awake_minutes": 12, "yesterday_activities": [ {"name": "Run", "duration": 35, "calories": 320} ], "yesterday_azm": { "activeZoneMinutes": 61, "fatBurnActiveZoneMinutes": 39, "cardioActiveZoneMinutes": 22 } } Note: Cardio Load is NOT available via Fitbit API - it's a Fitbit Premium feature only visible in the mobile app.

2. Data Fetching (CLI)

# Available commands: python scripts/fitbit_api.py steps --days 7 python scripts/fitbit_api.py calories --days 7 python scripts/fitbit_api.py heartrate --days 7 python scripts/fitbit_api.py sleep --days 7 python scripts/fitbit_api.py summary --days 7 python scripts/fitbit_api.py report --type weekly

3. Data Fetching (Python API)

export PYTHONPATH="{baseDir}/scripts" python - <<'PY' from fitbit_api import FitbitClient client = FitbitClient() # Uses env vars for credentials # Fetch data (requires start_date and end_date) steps_data = client.get_steps(start_date="2026-01-01", end_date="2026-01-16") hr_data = client.get_heartrate(start_date="2026-01-01", end_date="2026-01-16") sleep_data = client.get_sleep(start_date="2026-01-01", end_date="2026-01-16") activity_summary = client.get_activity_summary(start_date="2026-01-01", end_date="2026-01-16") PY

4. Analysis

export PYTHONPATH="{baseDir}/scripts" python - <<'PY' from fitbit_api import FitbitAnalyzer analyzer = FitbitAnalyzer(steps_data, hr_data) summary = analyzer.summary() print(summary) # Returns: avg_steps, avg_resting_hr, step_trend PY

5. Alerts

python {baseDir}/scripts/alerts.py --days 7 --steps 8000 --sleep 7

Scripts

scripts/fitbit_api.py - Fitbit Web API wrapper, CLI, and analysis scripts/fitbit_briefing.py - Morning briefing CLI (text/brief/json output) scripts/alerts.py - Threshold-based notifications

Available API Methods

MethodDescriptionget_steps(start, end)Daily step countsget_calories(start, end)Daily calories burnedget_distance(start, end)Daily distanceget_activity_summary(start, end)Activity summaryget_heartrate(start, end)Heart rate dataget_sleep(start, end)Sleep dataget_sleep_stages(start, end)Detailed sleep stagesget_spo2(start, end)Blood oxygen levelsget_weight(start, end)Weight measurementsget_active_zone_minutes(start, end)Active Zone Minutes (AZM) breakdown

References

references/api.md - Fitbit Web API documentation references/metrics.md - Metric definitions and interpretations

Authentication

Fitbit API requires OAuth 2.0 authentication: Create app at: https://dev.fitbit.com/apps Get client_id and client_secret Complete OAuth flow to get access_token and refresh_token Set environment variables or pass to scripts

Environment

Required: FITBIT_CLIENT_ID FITBIT_CLIENT_SECRET FITBIT_ACCESS_TOKEN FITBIT_REFRESH_TOKEN

Automation (Cron Jobs)

Cron jobs are configured in OpenClaw's gateway, not in this repo. Add these to your OpenClaw setup:

Daily Morning Briefing (8:00 AM)

openclaw cron add \ --name "Morning Fitbit Health Report" \ --cron "0 8 * * *" \ --tz "America/Los_Angeles" \ --session isolated \ --wake next-heartbeat \ --deliver \ --channel telegram \ --target "<YOUR_TELEGRAM_CHAT_ID>" \ --message "python3 /path/to/your/scripts/fitbit_briefing.py --format text" Note: Replace /path/to/your/ with your actual path and <YOUR_TELEGRAM_CHAT_ID> with your Telegram channel/group ID.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

6 Docs

SKILL.md Primary doc
docs/PRIVACY.md Docs
docs/TERMS.md Docs
README.md Docs
references/api.md Docs
SETUP.md Docs