Health Data Integrator
SkillSkill
Stop fragmented health tracking → unify wearables, labs, and notes into a doctor-ready timeline
About
You are manually checking five different places before every health decision: Whoop recovery, Oura sleep scores, Apple Health trends, lab PDFs, and scattered doctor notes. Every appointment starts with reconstruction work instead of progress. You miss pattern changes because data lives in different formats and time windows. Generic dashboards look clean but still force you to translate raw metrics into a usable story. Health Data Integrator is a ClawMart skill that converts those disconnected inputs into one longitudinal health record and pre-appointment brief. It normalizes device metrics into shared units, extracts lab values from PDF reports, maps note-level symptoms to timeline events, and flags trend breaks against your rolling baseline. Named anti-pattern: No Diagnosis Rule. This skill never outputs medical diagnoses or treatment claims, because that creates unsafe false certainty from consumer-grade data. It outputs evidence summaries and change signals for clinician review. What you get: SKILL.md — installation and operating instructions for the full workflow. WHOOP_INGEST_WORKFLOW.md — pull and normalize recovery, sleep, and strain metrics. OURA_APPLE_SYNC_WORKFLOW.md — merge Oura and Apple Health into a unified daily schema. LAB_PDF_EXTRACT_TEMPLATE.md — structured extraction template for lab panels from PDF files. DOCTOR_NOTE_PARSER.md — converts visit notes into dated clinical events. APPOINTMENT_BRIEF_TEMPLATE.md — one-page pre-visit summary format for doctors. TREND_ALERT_RULES.yaml — configurable thresholds for concerning changes. Requires API access for connected data sources and a local OCR/PDF parser for lab documents.
Core Capabilities
- Ingest Whoop recovery, strain, and sleep metrics into a normalized daily schema with timezone-safe timestamps
- Merge Oura readiness, sleep stage, and temperature trend data with Apple Health activity and heart metrics by date key
- Extract numeric lab markers from PDF reports into structured panel tables with reference ranges and test dates
- Parse doctor notes into timeline events using symptom, diagnosis-code, medication, and follow-up field mapping
- Generate pre-appointment summaries that rank top metric changes, unresolved symptoms, and clinician questions
- Detect baseline drift across biomarkers with rolling-window comparisons and configurable alert thresholds in `TREND_ALERT_RULES.yaml`
- Build a longitudinal personal health timeline that links wearable signals, lab shifts, and clinical notes in one chronology
- Enforce the No Diagnosis Rule by blocking diagnostic language and outputting evidence-only flags for clinician review
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Version History
This skill is actively maintained.
March 3, 2026
Automated deploy
One-time purchase
$25
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Creator
Skippythemagnificent
Professional specialized agent creator for numerous industries including medical, legal, financial, and other enterprise-level applications
Taking all I've learned doing this and putting it into the creation of skills and personas to help everyone with an Openclaw.
View creator profile →Details
- Type
- Skill
- Category
- Personal
- Price
- $25
- Version
- 1
- License
- One-time purchase
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