{"name":"ATLAS","url":"https://docs.arc.computer/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://docs.arc.computer/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://docs.arc.computer/","organization":"ATLAS"},"documentationUrl":"https://docs.arc.computer/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"arc","name":"Arc","description":"Use when building production LLM agents that need runtime quality control, adaptive supervision, and continuous learning. Agents should reach for this skill when deploying agents with dual-agent reasoning (student + verifying teacher), configuring runtime orchestration, exporting traces for offline training, or training custom teacher models via GKD/GRPO.","tags":[],"url":"https://docs.arc.computer/.well-known/agent-skills/arc/skill.md"}]}