Doctor G -- Evidence-Based Health Research

Answer health and wellness questions using only trusted, evidence-based sources with explicit evidence strength ratings.

Usage

bash

# Quick answer (WebSearch only, ~30s)
/doctorg Is creatine safe for daily use?

# Deep research (WebSearch + Tavily, ~90s)
/doctorg --deep Huberman vs Attia on fasted training

# Full investigation (WebSearch + Tavily + Firecrawl, ~3min)
/doctorg --full What does current evidence say about GLP-1 agonists for non-diabetic weight loss?

# Without personal health context
/doctorg --no-personal Best stretching protocol for lower back pain

Depth Levels

Level	Flag	Tools	Time	Use When
Quick	(default)	WebSearch	~30s	Simple factual questions
Deep	`--deep`	WebSearch + Tavily	~90s	Competing claims, nuanced topics
Full	`--full`	WebSearch + Tavily + Firecrawl	~3min	Controversial topics, need primary sources

How It Works

1. Parse Query & Detect Topic Category

Classify the question into one of:

Nutrition/Supplements (examine.com gets priority)
Exercise/Training (PubMed + ACSM get priority)
Sleep (focus sleep-specific databases)
Disease/Condition (condition-specific orgs + clinical guidelines)
Medication/Treatment (FDA, EMA, Cochrane get priority)
Mental Health (APA, mental health orgs)
General Wellness (broad search across all tiers)

2. Search Evidence Sources (Tiered)

Search sources in priority order. See

references/sources.md

for complete domain list.

Tier 1 -- Primary Research (highest weight):

PubMed/PMC, Cochrane Library, WHO, ClinicalTrials.gov

Tier 2 -- Clinical/Institutional (high weight):

Mayo Clinic, Hopkins Medicine, Cleveland Clinic, Harvard Health
Condition-specific: AHA, ACS, ADA, Alzheimer's Association

Tier 3 -- Expert Analysis (medium weight):

Examine.com, STAT News, Health News Review
Consensus.app, Epistemonikos

Tier 4 -- Quality Journalism (context/framing):

The Atlantic, NYT, NPR, Guardian, FiveThirtyEight

Search Strategy by Depth

Quick (default):

WebSearch(query, allowed_domains=[Tier 1 + Tier 2 domains])
WebSearch(query + "systematic review OR meta-analysis", allowed_domains=[Tier 1])

Deep (--deep): All Quick searches PLUS:

tavily-search(query, include_domains=[Tier 1-3])
WebSearch(query + "expert opinion OR position statement", allowed_domains=[Tier 2-3])
WebSearch(query + "risks OR side effects OR contraindications")

Full (--full): All Deep searches PLUS:

firecrawl-research for top 2-3 most relevant results from Tier 1
WebSearch for competing/contrarian viewpoints
WebSearch(query + "retracted OR debunked OR misleading")

3. Pull Personal Health Context (unless --no-personal)

Query Apple Health database for relevant metrics:

bash

python ~/ai_projects/claude-skills/health-data/scripts/health_query.py --format json vitals
python ~/ai_projects/claude-skills/health-data/scripts/health_query.py --format json daily
python ~/ai_projects/claude-skills/health-data/scripts/health_query.py --format json sleep --days 7
python ~/ai_projects/claude-skills/health-data/scripts/health_query.py --format json workouts --days 30

Select ONLY metrics relevant to the query:

Exercise question -> recent workouts, activity, resting HR, VO2 max
Sleep question -> sleep data, HRV
Nutrition question -> weight trends, activity level
Heart question -> HR, HRV, resting HR, blood pressure

4. Synthesize with Evidence Grading

Rate each claim using simplified GRADE scale:

Rating	Meaning	Based On
Strong	Consistent evidence from systematic reviews/meta-analyses or multiple large RCTs	Level I-II evidence
Moderate	Supported by well-designed studies but some inconsistency or limitations	Level II-III evidence
Weak	Limited evidence, small studies, or conflicting results	Level III-IV evidence
Minimal	Expert opinion, case reports, or preliminary/animal studies only	Level V evidence
Contested	Active scientific debate with credible evidence on both sides	Mixed levels

5. Format Output

markdown

# [Topic Title]

**Short answer**: [1-2 sentence direct answer]

## [Expert/Position A] (if comparing viewpoints)
- Key claim 1
- Key claim 2
- Has **evolved stance**: [if applicable]

## [Expert/Position B]
- Key claim 1
- Key claim 2

## Where They Actually Agree (if comparing)
- Agreement point 1
- Agreement point 2

## What Research Shows

| Claim | Evidence Strength |
|-------|------------------|
| Claim 1 | **Strong** |
| Claim 2 | **Weak** (reason) |
| Claim 3 | **Contested** |

## For You Specifically (if --personal context available)

[Personalized interpretation based on user's health data]

[Specific actionable recommendation]

## Sources
- [Source 1 title](url) -- Tier, year
- [Source 2 title](url) -- Tier, year

## Limitations
- [Any caveats about the evidence or this analysis]

Output rules:

NEVER give medical diagnoses or replace professional advice
ALWAYS include disclaimer: "This is research synthesis, not medical advice"
When evidence is Weak or Minimal, explicitly say so
When claims are Contested, present both sides fairly
Prefer recent sources (last 5 years) over older ones
Flag if key studies have been retracted or challenged
Include the "For You Specifically" section only when health data adds meaningful context

6. Disclaimer (always append)

---
*Research synthesis, not medical advice. Consult a healthcare provider for personal decisions.*

Examples

Quick

/doctorg Is 10000 steps a day backed by science?

Deep (comparing experts)

/doctorg --deep Huberman vs Attia on fasted training

Full (controversial topic)

/doctorg --full Safety profile of long-term melatonin supplementation

Integration with Other Skills

health-data: Pulls Apple Health metrics for personalization
tavily-search: Deep research at Tier 1-3 sources
firecrawl-research: Full-text extraction from primary sources
fact-checker: Can be chained for verification of specific claims

doctorg

NPX Install

Tags

SKILL.md Content