Aggregate DocVault health data into a point-in-time analysis with persisted reasoning.
npx skills add https://github.com/vanities/docvault --skill health-analysis
Please help me install this Agent Skill. Skill: health-analysis Source: https://github.com/vanities/docvault/tree/main/skills/health-analysis Command: npx skills add https://github.com/vanities/docvault --skill health-analysis
Generate a comprehensive health analysis combining labs, DNA, activity data, supplement regimen, and sickness log into actionable interpretation. Save to DocVault so the reasoning is persistent and revisitable. Use when the user wants to look at how they're trending, make a health decision, or have a structured conversation with Claude about their data.
Run the fetch-all script to collect health data, then draft and save your analysis payload with the save-analysis script.
High-intent search queries and answers about installing and using this skill.
To aggregate health data into trend analysis, run the fetch-all script to collect labs, DNA, activity, sleep, nutrition, and sickness history, then use the save-analysis script to persist the narrative. This cross-layer approach surfaces actionable insights from combined health data.
Yes, you can save health data analysis results by persisting the narrative payload in DocVault via the save-analysis script. This preserves the reasoning and makes it auditable and revisitable by future sessions for ongoing health tracking.
To run cross-layer health data analysis, you need curl and node installed as dependencies, plus existing DocVault data containing labs, DNA, activity, sleep, nutrition, and sickness history. The scripts fetch-all.sh, lab-trends.sh, and save-analysis.sh handle the workflow.
Use multi-year health trend analysis when you need to make a health decision, review how your data is trending over time, or have a structured conversation about your labs, DNA, and behavioral data. It combines cross-layer storytelling to surface actionable recommendations.
Yes, health trend analysis works by combining DNA genotype data with lab results and behavioral data like activity and sleep. This cross-layer storytelling approach surfaces actionable recommendations that single-layer analysis cannot provide.
Health data analysis needs to be saved to DocVault to make the reasoning persistent and revisitable. Without saving, the narrative interpretation of your labs, DNA, and activity trends would be lost between sessions, preventing future audits of your health decisions.
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