elicit-research-assistant

name	elicit-research-assistant
description	AI-assisted literature review for question-answering over papers and evidence synthesis
allowed-tools	["Bash","Read","Write","Edit","Glob","Grep","WebFetch"]
metadata	{"specialization":"scientific-discovery","domain":"science","category":"literature-knowledge","phase":6}
graph	{"domains":["domain:scientific-discovery"],"specializations":["specialization:scientific-research-methods"],"skillAreas":["skill-area:data-analysis","skill-area:statistical-analysis","skill-area:deep-web-research"],"workflows":["workflow:experiment-design","workflow:peer-review-cycle"],"roles":["role:research-engineer","role:computational-scientist"]}

Elicit Research Assistant

Purpose

Provides AI-assisted literature review capabilities for question-answering over papers, claim extraction, and evidence synthesis.

Capabilities

• Question-answering over research papers
• Claim extraction and verification
• Evidence strength assessment
• Methodology comparison
• Finding synthesis across papers
• Research gap identification

Usage Guidelines

1. Question Formulation: Ask specific, answerable questions
2. Claim Extraction: Identify key claims and their support
3. Evidence Assessment: Evaluate strength of evidence
4. Synthesis: Aggregate findings across multiple papers

Tools/Libraries

• Elicit API
• LangChain
• Vector databases