{"name":"Ragrails","url":"https://docs.ragrails.com/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://docs.ragrails.com/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://docs.ragrails.com/","organization":"Ragrails"},"documentationUrl":"https://docs.ragrails.com/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"ragrails","name":"ragrails","description":"Use when building RAG (Retrieval-Augmented Generation) systems: ingesting content from websites, documents, APIs, or Markdown; building searchable knowledge bases; querying with semantic search; or generating grounded chat answers. Agents should reach for this skill when working with multi-source data pipelines, vector databases, embedding models, or LLM-powered search and chat applications.","tags":[],"url":"https://docs.ragrails.com/.well-known/agent-skills/ragrails/skill.md"}]}