fitbitQuery Fitbit health data including sleep, heart rate, activity, SpO2, and breathing rate. Use when user asks about their fitness, sleep quality, steps, or health metrics.
Install via ClawdBot CLI:
clawdbot install mjrussell/fitbitQuery health and fitness data from Fitbit wearables.
# Sleep logs (deep, light, REM, awake times)
fitbit-cli -s # today
fitbit-cli -s yesterday # yesterday
fitbit-cli -s last-week # last 7 days
fitbit-cli -s 2026-01-01 # specific date
# Heart rate time series
fitbit-cli -e # today
fitbit-cli -e last-week # last 7 days
# Blood oxygen (SpO2)
fitbit-cli -o # today
fitbit-cli -o last-3-days # last 3 days
# Active Zone Minutes
fitbit-cli -a # today
fitbit-cli -a last-month # last month
# Breathing rate
fitbit-cli -b # today
# Daily activity (steps, calories, distance, floors)
fitbit-cli -t # today
fitbit-cli -t yesterday # yesterday# User profile
fitbit-cli -u
# Connected devices (battery, sync status)
fitbit-cli -d2026-01-052026-01-01,2026-01-05yesterday, last-week, last-monthlast-2-days, last-3-weeks, last-2-monthsUser asks "How did I sleep last night?"
fitbit-cli -s yesterdayUser asks "What's my heart rate been like this week?"
fitbit-cli -e last-weekUser asks "How many steps today?"
fitbit-cli -tUser asks "Show my SpO2 levels"
fitbit-cli -oUser asks "Is my Fitbit synced?"
fitbit-cli -dUser asks "How active was I last month?"
fitbit-cli -a last-monthfitbit-cli --init-authGenerated Mar 1, 2026
Individuals track daily fitness metrics like steps, heart rate, and sleep patterns to monitor personal health goals. This helps users stay accountable and make data-driven lifestyle adjustments for improved well-being.
Companies integrate Fitbit data to encourage employee health through challenges and incentives. This boosts productivity, reduces healthcare costs, and fosters a healthier workplace culture.
Healthcare providers use Fitbit data to monitor patients with chronic conditions like heart disease or sleep disorders. This enables proactive care, reduces hospital visits, and improves treatment outcomes.
Personal trainers and coaches analyze client data to tailor workout plans and track progress. This enhances client engagement, optimizes performance, and supports goal achievement.
Researchers aggregate anonymized Fitbit data for studies on sleep patterns, activity levels, or population health trends. This provides valuable insights for academic or commercial health initiatives.
Offer a premium service with advanced analytics, personalized insights, and integration with other health apps. Revenue comes from monthly or annual subscriptions, targeting health-conscious consumers.
Sell packaged wellness programs to businesses, including data dashboards, employee challenges, and health reporting. Revenue is generated through licensing fees per employee or enterprise contracts.
License aggregated, anonymized Fitbit data to healthcare providers, insurers, or research institutions. Revenue streams include one-time data sales or ongoing access fees for analytics purposes.
💬 Integration Tip
Ensure proper authentication setup with fitbit-cli --init-auth and handle token refreshes automatically to maintain seamless data access.
Plan, focus, and complete work with energy management, time blocking, and context-specific productivity systems.
Build habits with streaks, reminders, and progress visualization
Comprehensive AI-assisted therapeutic support framework with CBT, ACT, DBT, MI, session notes CLI, and crisis protocols.
iOS HealthKit data sync CLI commands and patterns. Use when working with healthsync CLI, fetching Apple Health data (steps, heart rate, sleep, workouts), pairing iOS devices over local network, or understanding the iOS Health Sync project architecture including mTLS certificate pinning, Keychain storage, and audit logging.
Retrieve and summarize health, sleep, activity, readiness, and biometric data from the Oura Ring API via a command-line interface.
Load and analyze Strava activities, stats, and workouts using the Strava API