elicit-research-assistant

AI-assisted literature review for question-answering over papers and evidence synthesis

509 stars

Best use case

elicit-research-assistant is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

AI-assisted literature review for question-answering over papers and evidence synthesis

Teams using elicit-research-assistant should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/elicit-research-assistant/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/scientific-discovery/skills/elicit-research-assistant/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/elicit-research-assistant/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How elicit-research-assistant Compares

Feature / Agent	elicit-research-assistant	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

AI-assisted literature review for question-answering over papers and evidence synthesis

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# 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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