Parse and clean WHOOP export data into pandas DataFrames for time-series analysis.
npx skills add https://github.com/aquiladev/claude-skills --skill whoop-aquiladev
Please help me install this Agent Skill. Skill: whoop Source: https://github.com/aquiladev/claude-skills/tree/main/skills/whoop Command: npx skills add https://github.com/aquiladev/claude-skills --skill whoop-aquiladev
This Skill solves the complexity of interpreting raw WHOOP export data, which is organized by physiological cycles rather than calendar days, making it difficult to perform meaningful longitudinal analysis.
Use the whoop skill to load the data from my latest export folder and calculate my average recovery score for the last thirty days.
High-intent search queries and answers about installing and using this skill.
To analyze WHOOP recovery and sleep data using pandas, this Skill parses raw physiological cycle exports into structured DataFrames, normalizing sleep, strain, and journal entries for time-series analysis. It automatically cleans and joins the data for accurate longitudinal insights.
The best way to correlate WHOOP journal entries with recovery scores is by using cycle-based grouping logic. This Skill joins journaled behaviors, like caffeine consumption, with recovery metrics to identify statistical correlations over multi-month periods.
Handling timezone-aware timestamps when parsing WHOOP export data is built into this Skill. It processes physiological cycle data with timezone-aware timestamp handling to ensure accurate time-series alignment for longitudinal fitness tracking.
Yes, this Skill requires pandas for WHOOP data manipulation. It relies on the pandas framework to clean, join, and structure physiological cycles, sleep, and workout data into DataFrames for complex queries.
Your WHOOP longitudinal analysis misaligns with calendar days because the platform organizes data by physiological cycles. This Skill resolves the issue by parsing and normalizing cycle-based grouping for accurate time-series analysis.
koala73Fetch WHOOP health data across recovery, sleep, HRV, and strain via CLI.
KaranKathur06Convert raw tabular and time-series data into modeling-ready datasets with statistical analysis.
ericwang915Provide current date, time, timezone, and Unix timestamp conversions.
maxxthedeveloperFacilitate structured reflection sessions integrating WHOOP biometric data with self-reporting.
