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Data Science

fitbit

by openclaw

Fitbit fitness data integration. Use when the user wants fitness insights, workout summaries, step counts, heart rate data, sleep analysis, or to ask questions about their Fitbit activity data. Provides AI-powered analysis of fitness metrics.

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
openclaw
Category
Data Science
GitHub repo

About this skill

Fitbit fitness data integration. Use when the user wants fitness insights, workout summaries, step counts, heart rate data, sleep analysis, or to ask questions about their Fitbit activity data. Provides AI-powered analysis of fitness metrics.

How to use

  1. Przygotuj token dostępu OAuth z Fitbita, postępując zgodnie z instrukcjami w pliku references/fitbit-oauth-setup.md dostępnym w repozytorium umiejętności.

  2. Ustaw zmienną środowiskową FITBIT_ACCESS_TOKEN na wartość Twojego tokena dostępu, aby umożliwić skryptom komunikację z API Fitbita.

  3. Aby uzyskać podsumowanie dzisiejszej aktywności, uruchom polecenie daily bez parametru daty — otrzymasz kroki, dystans, kalorie i minuty aktywności w różnych intensywnościach.

  4. Dla bardziej szczegółowej analizy użyj konkretnych poleceń: heart dla danych tętna i stref, sleep dla analizy snu, lub weekly dla podsumowania siedmiodniowego.

  5. Zadawaj pytania AI o swoje dane fitness — umiejętność automatycznie pobierze odpowiednie metryki i dostarczy Ci spersonalizowane wglądy dotyczące Twoich trendów treningowych i zdrowia.

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