{
  "ocm": "1",
  "id": "deeplearingx-deskorb-agent-deskorb-agent",
  "kind": "skill",
  "name": "deskorb-agent",
  "description": "DeskOrb project instructions",
  "publisher": "deeplearingx",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "github-agents"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "DeskOrb project instructions"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-agents",
      "repository": "https://github.com/deeplearingx/deskorb-agent",
      "path": "AGENTS.md",
      "ref": "d2f24de4cdbbd95f405b06bef3f96468c91bcda9",
      "url": "https://github.com/deeplearingx/deskorb-agent/blob/d2f24de4cdbbd95f405b06bef3f96468c91bcda9/AGENTS.md",
      "key": "deeplearingx/deskorb-agent/AGENTS.md"
    }
  },
  "instructions": "# DeskOrb project instructions\n\n- Use the dedicated Conda environment `deskorb-agent` for all project Python\n  commands, tests, and desktop runs.\n- Do not use the unrelated `marketmind` environment for this repository.\n- Prefer `conda run -n deskorb-agent python ...` or activate the environment\n  with `conda activate deskorb-agent`.\n- Run the app through `Start DeskOrb Agent.cmd`; it delegates to the Conda\n  launcher and keeps the local Playwright MCP setup checks.\n- The standard test command is:\n  `conda run -n deskorb-agent python -s -m pytest -q`",
  "cost": {
    "context_tokens": 138
  }
}