add-lab-results

name: add-lab-results description: Process new lab results, body composition scans, or medical data. Triggers on "new labs", "lab results", "blood work", "InBody", "DEXA", "test results", or when user shares medical results.

Add Lab / Medical Results

Structured processing of new medical data with automatic updates to all relevant files.

Workflow

digraph lab {
  "Load context" -> "Get data from user";
  "Get data from user" -> "Create .md file";
  "Create .md file" -> "Update medical README";
  "Update medical README" -> "Update relevant domain";
  "Update relevant domain" -> "Update me.md";
  "Update me.md" -> "Find anomalies";
  "Find anomalies" -> "Watchlist check";
}

1. Load Context

2. Get Data

If user sent a photo/PDF:

• Read and extract all values
• Verify reference ranges

If user describes verbally:

• Ask for all values systematically
• Confirm you have complete data

ALWAYS determine:

• Date of test/measurement
• Provider (lab name, clinic)
• Context (fasting? morning? weight at time? stress level?)

3. Create File

Lab tests:

data/medical/lab-tests/YYYY-MM-DD-type-provider.md

Body composition:

data/medical/body-comp/YYYY-MM-DD-method.md

Medical records:

data/medical/records/YYYY-MM-DD-type-provider.md

Use consistent format matching existing files in data/medical/.

4. Update Medical README

Add new file to the appropriate table in data/medical/README.md:

• Lab Tests → add to overview
• Body Comp → add to overview + update Quick Reference
• Records → add to overview

If new diagnoses → add to Official Diagnoses section.

5. Update Domain

Lab tests → relevant domain(s):

• Update data timeline
• Compare with previous values
• Highlight changes (better/worse)

Body comp → body composition domain (if exists):

• Update Current Status
• Compare segmental analysis with previous
• Weight/BF%/muscle trend

6. Update me.md

Update baselines in docs/context/me.md:

• Weight, BF%, muscle mass (if body comp)
• Relevant lab values (if changed)
• Date of last measurement

7. Find Anomalies

Required — compare with previous results:

If anomaly found → tell the user and suggest what to do.

8. Watchlist Check

• Check docs/context/watchlist.md — was this test on the list?
• If yes → check it off
• If results suggest new tests → add to watchlist
• If an experiment was waiting for these results → update experiment

Output

At the end, summarize:

1. What was added (new file)
2. Key values and comparison with previous
3. Anomalies / red flags
4. Which files were updated
5. Recommendations (follow-up tests, protocol changes)

If user provided an argument

/add-lab-results → ask what type of data and start