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doctorg

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Evidence-based health research from trusted sources.

Education & Research#nutrition#evidence-based#exercise#GRADE#apple-health#health-research#clinical-sources
Authorglebis
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Synthesize evidence for health questions from tiered sources with explicit strength ratings.

Core Features & Use Cases

  • Evidence grading with GRADE-inspired strength ratings across nutrition, exercise, sleep, and wellness topics.
  • Apple Health integration for personalized context when user data is available.
  • Depth-aware research modes (Quick, Deep, Full) with progressively exhaustive source gathering.
  • Structured output with sources, caveats, and actionable recommendations.
  • Integrates with health-data, tavily-search, firecrawl-research, and fact-check workflows for end-to-end health research.

Quick Start

Ask a health question and optionally enable depth with --deep or --full to get an evidence-based answer.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: doctorg
Download link: https://github.com/glebis/claude-skills/archive/main.zip#doctorg

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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