body-medical-checkups

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Provide specialist medical checkup and lab-tracking evidence from local documents when `body-data-qa` or `body-cadence-review` needs medical-domain depth, or when the user explicitly asks for a medical-tracking-only deep dive.

Rachnog By Rachnog schedule Updated 3/28/2026

name: body-medical-checkups description: Provide specialist medical checkup and lab-tracking evidence from local documents when body-data-qa or body-cadence-review needs medical-domain depth, or when the user explicitly asks for a medical-tracking-only deep dive.

Body - Medical Checkups

Track medical checkup regularity and key marker direction using local medical documents and explicit targets. Use this as the medical specialist inside the body system. The default top-level entrypoint for normal questions is body-data-qa. This skill should mostly support the workflow skills unless the user explicitly wants medical-only depth.

Data Sources

  • 400 Resources/ medical documents (primary)
  • optional MCP context from other body systems for trend interpretation

Goals

Use the same reasoning order as the workflow skills:

  1. Read the guiding principles and strategy in 000 OS/.
  2. Check the numerical targets in 3 Numerical Targets 2026.
  3. Read the body area guidance in 300 Areas/Body/: protocols (0 Intro to body protocols), beliefs (Body beliefs), and maintenance systems (Body maintenance systems).
  4. Then prioritize:
  • regular checkup cadence as a core pillar
  • LDL/HDL movement toward healthy reference ranges

Analysis

  • Search medical files in 400 Resources/ for recent labs and checkup reports.
  • Extract the latest available checkup date and major lipid markers such as LDL and HDL.
  • Compare current markers against previously documented values when available.
  • Flag stale or missing checkup cadence.
  • Recommend the next follow-up window based on recency and risk signals.
  • Explicitly separate:
    • data-backed observations
    • assumptions from incomplete medical documents

Output Contract

If structured output is needed, keep the metric payload aligned with ../../schemas/medical-checkups.json. Present the findings in prose under this shape:

  • Current medical snapshot - latest labs or checkup recency
  • Trend - how key markers changed versus prior documented results
  • Follow-up urgency - low, medium, or high with rationale
  • Goal alignment - whether markers and cadence support the stated body targets
  • Caveats - stale documents, missing labs, unreadable values, or incomplete history

Escalation Rules

Stay in body-medical-checkups when the user explicitly wants medical-only depth or when an upstream workflow already scoped the task to checkups, labs, or follow-up planning.

Escalate to:

  • body-data-qa when the user asks for ad-hoc cross-domain comparison involving medical data
  • body-cadence-review when the medical picture is one part of a larger body review

Resources

When invoked from body-data-qa or body-cadence-review, let the upstream workflow own broader recommendation synthesis. If this specialist is being used directly for a medical-only deep dive, always cite which resource file(s) informed conclusions. If no recent medical documents are found, say this explicitly and propose the minimum next step (for example: schedule checkup, upload latest panel).

Tone

Quant analyst reviewing a dashboard. Numbers first, brief context, no fluff.

Schema

Reference ../../schemas/medical-checkups.json for field definitions.

Install via CLI
npx skills add https://github.com/Rachnog/alex-honchar-claude-for-life --skill body-medical-checkups
Repository Details
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