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prior-evidence

Map scientific evidence landscapes by querying PubMed and Scholar Gateway.

Updated Aug 27, 2026
Search Tags:#meta-analysis#scientific literature#clinical research#hypothesis evaluation#evidence mapping#GRADE assessment
One-click install
npx skills add https://github.com/j-walheim/Critical-AI-Scientist --skill prior-evidence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prior-evidence
Source: https://github.com/j-walheim/Critical-AI-Scientist/tree/main/agent_definition/.claude/skills/prior-evidence
Command: npx skills add https://github.com/j-walheim/Critical-AI-Scientist --skill prior-evidence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill systematically maps the existing evidence landscape for a given scientific hypothesis, identifying key findings and gaps.

Core Features & Use Cases

  • Evidence Synthesis: Aggregates data from PubMed and Scholar Gateway to provide a comprehensive overview of prior research.
  • Structured Data Extraction: Extracts effect sizes, sample sizes, and study quality metrics from relevant literature.
  • Use Case: Before proposing a new clinical trial, use this Skill to understand the current state of evidence, identify existing effect sizes, and determine the quality of prior studies.

Quick Start

Use the prior-evidence skill to map the existing evidence for the hypothesis about drug X treating disease Y.

Frequently Asked Questions about prior-evidence

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

FAQPage Schema
How do I map the existing evidence landscape for a scientific hypothesis before proposing a clinical trial?▼

To map the existing evidence landscape for a scientific hypothesis, you need to query PubMed and Scholar Gateway to extract effect sizes, trial outcomes, and GRADE assessments from systematic reviews, meta-analyses, and RCTs.

What is evidence mapping and how does it synthesize prior clinical research?▼

Evidence mapping systematically synthesizes prior clinical research by aggregating data from PubMed and Scholar Gateway to provide a comprehensive overview of key findings, structured effect sizes, and existing research gaps.

Can I extract GRADE assessments and effect sizes directly from systematic reviews and meta-analyses?▼

Yes, you can extract GRADE assessments, effect sizes, and sample sizes directly from systematic reviews and meta-analyses by performing structured data extraction on the retrieved scientific literature.

Does this evidence mapping approach work with PubMed and Scholar Gateway for identifying research gaps?▼

Yes, evidence mapping works by querying PubMed and Scholar Gateway to systematically aggregate prior research, identify existing effect sizes, and determine the quality of studies to highlight research gaps.

What is the best way to evaluate prior evidence quality before designing a new clinical trial?▼

The best way to evaluate prior evidence quality before designing a new clinical trial is to extract study quality metrics and GRADE assessments from systematic reviews, meta-analyses, and RCTs retrieved via literature gateways.

What are the limitations of using automated evidence synthesis for hypothesis evaluation?▼

The main limitation of automated evidence synthesis for hypothesis evaluation is that it requires structured data extraction from systematic reviews and RCTs, meaning unstructured or poorly reported clinical research data may be difficult to synthesize.

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