| name | doctorg |
| description | Evidence-based health research using tiered trusted sources with GRADE-inspired evidence ratings. Integrates Apple Health data for personalized context. Use when user asks health, nutrition, exercise, sleep, or wellness questions. |
Doctor G -- Evidence-Based Health Research
Answer health and wellness questions using only trusted, evidence-based sources with explicit evidence strength ratings.
Usage
/doctorg Is creatine safe for daily use?
/doctorg --deep Huberman vs Attia on fasted training
/doctorg --full What does current evidence say about GLP-1 agonists for non-diabetic weight loss?
/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:
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
# [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
