{
  "$schema": "https://vercel-labs.github.io/skills/schema.json",
  "publisher": {
    "name": "Yma Health",
    "homepage": "https://layer.yma.health",
    "mcp": "https://mcp.yma.health/mcp/"
  },
  "skills": [
    {
      "name": "yma-health-overview",
      "description": "What Yma Health is — a global infrastructure layer connecting people to health, wellness, aesthetics, dental, fitness, longevity and recovery businesses. Read this first before calling any yma-health MCP tool so you can frame results for the user and know what is and isn't in scope (UAE-heavy coverage today, expanding globally). Also documents how to connect the MCP server with `claude mcp add` if the user asks about tools that aren't yet configured.",
      "files": ["SKILL.md"]
    },
    {
      "name": "yma-health-search-patterns",
      "description": "How to call the yma-health `search` MCP tool effectively — supported languages (English, Russian, Arabic and others), when to use free text vs. structured filters, the zero-result contract (never retry an irrelevant query with synonyms), and the recommended search → fetch → compare flow. Apply whenever a user asks to find a clinic, doctor, spa, gym, longevity centre, recovery studio, or any health/wellness/aesthetics business.",
      "files": ["SKILL.md"]
    },
    {
      "name": "yma-health-booking-flow",
      "description": "How the yma-health `book` and `contact_ai_agent` MCP tools fit together — the three booking outcomes (confirmed / pending_confirmation / call_business), required customer fields, what is demo-grade vs. production today, and when to use the live `contact_ai_agent` channel. Apply when the user wants to act on a specific business after discovery: reserve an appointment or ask a free-form question.",
      "files": ["SKILL.md"]
    }
  ]
}