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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]

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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