doctorg

Aggregate trusted health sources and score claims with GRADE ratings.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/KISHOR403/claude-skills --skill doctorg-kishor403
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: doctorg
Source: https://github.com/KISHOR403/claude-skills/tree/main/doctorg
Command: npx skills add https://github.com/KISHOR403/claude-skills --skill doctorg-kishor403

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Health questions often require sifting through many sources and personal data to deliver reliable guidance. Doctorg streamlines this by delivering evidence-based research with explicit strength ratings and personalized context when Apple Health data is available.

Core Features & Use Cases

  • Evidence synthesis from tiered sources with explicit strength ratings.
  • Personalization by integrating Apple Health metrics for context-aware guidance.
  • Output formats suitable for reports, summaries, or patient-facing notes.

Quick Start

Ask a health question and have doctorg generate an evidence-based synthesis with sources and graded recommendations.

Frequently Asked Questions about doctorg

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get evidence-based health answers with source ratings?

Evidence-based health answers are generated by aggregating trusted sources and scoring each claim with a simplified GRADE rating, producing a Markdown-formatted report with explicit strength ratings and limitations.

Can I use Apple Health data for personalized wellness research?

Apple Health data can be incorporated to provide personalized context for health questions, generating a tailored section within the research report when health data is available.

What's the best way to research nutrition and exercise claims online?

Researching nutrition and exercise claims involves applying tiered search strategies across WebSearch, Tavily, and Firecrawl to synthesize evidence and output graded recommendations with cited sources.

Does this health research tool support systematic review formats?

Systematic review formatting is supported by aggregating multiple trusted sources into a structured Markdown report that includes explicit strength ratings, limitations, and personalized context sections.

What are the limitations of automated evidence synthesis for medical questions?

Automated evidence synthesis outputs a limitations section within the Markdown report, acknowledging the constraints of simplified GRADE ratings and the scope of aggregated web search results for general wellness inquiries.