elicit-research-assistant
AI-assisted literature review for question-answering over papers and evidence synthesis
npx skills add a5c-ai/babysitter --skill elicit-research-assistant --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the elicit-research-assistant skill do?
AI-assisted literature review for question-answering over papers and evidence synthesis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill elicit-research-assistant --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.