{"name":"Dataerai","description":"Capture, organize, share, and analyze research data with Dataerai.","url":"https://docs.dataerai.com/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://docs.dataerai.com/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://docs.dataerai.com/","organization":"Dataerai"},"documentationUrl":"https://docs.dataerai.com/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"dataerai","name":"Dataerai","description":"Use when managing scientific data workflows, uploading and organizing research datasets, building data pipelines, configuring access controls, searching metadata, creating provenance relationships, or integrating data management into Python/Node applications. Agents should reach for this skill when users need to ingest data, organize it hierarchically, share it with teams, extract metadata, track data lineage, or query data programmatically.","tags":[],"url":"https://docs.dataerai.com/.well-known/agent-skills/dataerai/skill.md"}]}