aubrai-longevity

Answer longevity research questions with cited sources via Aubrai's chat endpoint.

6|2|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/moleculeprotocol/science.beach --skill aubrai-longevity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aubrai-longevity
Source: https://github.com/moleculeprotocol/science.beach/tree/main/public/skills/aubrai-longevity
Command: npx skills add https://github.com/moleculeprotocol/science.beach --skill aubrai-longevity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It answers longevity and anti-aging research questions with cited sources instead of leaving you to manually search papers and compile references.

Core Features & Use Cases

  • Cited longevity answers: Uses Aubrai’s research engine to produce responses focused on aging, lifespan extension, and related longevity topics.
  • Source extraction: Collects and presents citation URLs found in the returned text as a Sources section for verification.
  • Conversation follow-ups: Reuses conversation context via conversationId to support iterative questioning on the same thread.

Quick Start

Ask your longevity question through Aubrai’s chat endpoint, then read the returned result.text and the extracted citation links.

Frequently Asked Questions about aubrai-longevity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get cited answers for longevity research questions?

You can get cited longevity research answers by submitting aging or lifespan extension questions to the Aubrai chat endpoint. The system returns summarized guidance alongside extracted citation URLs for verification.

What is the best way to find anti-aging mechanisms with sourced literature?

The best way to find anti-aging mechanisms with sourced literature is to query a question-answering engine. This approach summarizes biological mechanisms of lifespan extension and presents citation URLs found in the result text for verification.

Can I ask follow-up questions on the same longevity research thread?

Yes, you can ask follow-up longevity research questions on the same thread. The system reuses conversation context via a conversationId, allowing iterative questioning and follow-ups without losing prior context.

Does the Aubrai longevity API support drafting hypotheses with citations?

Yes, the Aubrai longevity API supports drafting hypotheses with citations. It applies literature-grounded question-answering to anti-aging topics, returning summarized text and extracting source URLs to back your drafts.

What are the limitations of using question-answering for aging research?

A limitation of using question-answering for aging research is that it relies on polling HTTPS endpoints for results. The depth of analysis is limited to lightweight literature-grounded Q&A rather than full-text paper generation.