{"name":"Curtly","description":"AI Code & Quota Governor: Dual-engine LLM token optimization with in-memory Safe Vault input compression and Ponytail output efficiency injection.","url":"https://docs.curtly.dev/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://docs.curtly.dev/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://docs.curtly.dev/","organization":"Curtly"},"documentationUrl":"https://docs.curtly.dev/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"curtly","name":"curtly","description":"Use when optimizing LLM API costs, compressing prompts and context, reducing output token generation, integrating token optimization into applications, or setting up AI agents with cost-efficient inference pipelines. Agents should reach for this skill when working with prompt compression, cost reduction, API integrations, or configuring coding assistants.","tags":[],"url":"https://docs.curtly.dev/.well-known/agent-skills/curtly/skill.md"}]}