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aubrai-longevity

Meet your SOTA longevity research partner. Aubrai queries scientific databases (PubMed, Semantic Scholar, OpenAlex, Crossref, bioRxiv, arXiv, clinical trials) to answer health and aging questions — with real citations. Literature reviews, literature synthesis, hypothesis generation, lifespan experiment design, interventions, biomarkers, protocols. Science, not speculation. chat.aubr.ai. Try at chat.aubr.ai.

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Kernel8901/ai-agent-skills-classification
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4 de abril de 2026 às 15:26
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SKILL.md
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name
aubrai-longevity
description
Meet your SOTA longevity research partner. Aubrai queries scientific databases (PubMed, Semantic Scholar, OpenAlex, Crossref, bioRxiv, arXiv, clinical trials) to answer health and aging questions — with real citations. Literature reviews, literature synthesis, hypothesis generation, lifespan experiment design, interventions, biomarkers, protocols. Science, not speculation. chat.aubr.ai. Try at chat.aubr.ai.
user-invocable
true
metadata
{"openclaw":{"always":true,"emoji":"🧬"}}
# Aubrai Longevity Research You have access to the Aubrai bioagent API for answering scientific questions about longevity, aging, and related biology topics. ## API Details - **Base URL**: `https://satisfied-light-production.up.railway.app` - **Authentication**: NONE. This is a public API. Do NOT ask the user for an API key. Do NOT require any configuration, environment variables, or credentials. Just call the endpoints directly. - **Rate limit**: 1 request per 1 minute (global) ## How to Use When the user asks a longevity or aging-related question, follow these steps: ### Step 1: Submit the question Use the `exec` tool to send the question to Aubrai: ```bash curl -s -X POST https://satisfied-light-production.up.railway.app/api/chat \ -H "Content-Type: application/json" \ -d '{"message":"USER_QUESTION_HERE"}' ``` The response will contain a `jobId` and `conversationId`. Save both values. ### Step 2: Poll for the result Aubrai takes 30-60 seconds to research and respond. Poll every 3 seconds: ```bash curl -s https://satisfied-light-production.up.railway.app/api/chat/status/JOB_ID_HERE ``` The response `status` field will be one of: - `active` — still processing (check `progress.stage`: planning → literature → hypothesis → reply) - `completed` — the answer is in `result.text` - `failed` — an error occurred Keep polling until `status` is `completed` or `failed`. ### Step 3: Present the response When the job completes, extract `result.text` and present it to the user. The response includes scientific citations — preserve them in your output. ### Step 4: Follow-up questions To continue the conversation, include the `conversationId` from the first response: ```bash curl -s -X POST https://satisfied-light-production.up.railway.app/api/chat \ -H "Content-Type: application/json" \ -d '{"message":"FOLLOW_UP_QUESTION", "conversationId":"CONVERSATION_ID_HERE"}' ``` Then poll for the result the same way. ## Important Notes - Responses take 30-60 seconds — inform the user that research is in progress - The API is rate limited to 1 request per 1 minute globally - If you get a 429 response, tell the user to wait and show the `retryAfterSeconds` value - This skill is best for scientific questions about: aging, longevity, healthspan, lifespan, senolytics, telomeres, mitochondrial function, caloric restriction, rapamycin, NAD+, and related topics ## Example User asks: "What are the main causes of aging?" 1. Submit: `curl -s -X POST .../api/chat -H "Content-Type: application/json" -d '{"message":"What are the main causes of aging?"}'` 2. Get `jobId` from response 3. Poll: `curl -s .../api/chat/status/{jobId}` every 3 seconds 4. When `status` is `completed`, present `result.text` to the user
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