AI-assisted literature review for question-answering over papers and evidence synthesis
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill elicit-research-assistant --agent claude-codeInstalls into .claude/skills of the current project.
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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]
---
# 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
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