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.
Install
mkdir -p .claude/skills/fitbit-analytics && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8400" && unzip -o skill.zip -d .claude/skills/fitbit-analytics && rm skill.zipInstalls to .claude/skills/fitbit-analytics
About this skill
Fitbit Analytics
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
Core Workflows
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 analysisscripts/fitbit_briefing.py- Morning briefing CLI (text/brief/json output)scripts/alerts.py- Threshold-based notifications
Available API Methods
| Method | Description |
|---|---|
get_steps(start, end) | Daily step counts |
get_calories(start, end) | Daily calories burned |
get_distance(start, end) | Daily distance |
get_activity_summary(start, end) | Activity summary |
get_heartrate(start, end) | Heart rate data |
get_sleep(start, end) | Sleep data |
get_sleep_stages(start, end) | Detailed sleep stages |
get_spo2(start, end) | Blood oxygen levels |
get_weight(start, end) | Weight measurements |
get_active_zone_minutes(start, end) | Active Zone Minutes (AZM) breakdown |
References
references/api.md- Fitbit Web API documentationreferences/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_IDFITBIT_CLIENT_SECRETFITBIT_ACCESS_TOKENFITBIT_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.
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