{
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  "item": {
    "slug": "mlops-industrialization-cn",
    "name": "MLOps Industrialization",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/guohongbin-git/mlops-industrialization-cn",
    "canonicalUrl": "https://clawhub.ai/guohongbin-git/mlops-industrialization-cn",
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    "sourcePlatform": "tencent",
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    "extraction": "Extract archive",
    "prerequisites": [
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      "package.json",
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      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
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    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
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        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
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      "reason": "direct_download_ok",
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      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
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        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/mlops-industrialization-cn"
    },
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        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
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        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
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    "downloadPageUrl": "https://openagent3.xyz/downloads/mlops-industrialization-cn",
    "agentPageUrl": "https://openagent3.xyz/skills/mlops-industrialization-cn/agent",
    "manifestUrl": "https://openagent3.xyz/skills/mlops-industrialization-cn/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/mlops-industrialization-cn/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "MLOps Industrialization 🏭",
        "body": "Convert notebooks to production packages."
      },
      {
        "title": "1. Package Structure Generator 📦",
        "body": "Create src/ layout:\n\n./scripts/create-package.sh my_package\n\nCreates:\n\nsrc/my_package/\n├── __init__.py\n├── io/          # I/O operations\n├── domain/      # Pure business logic\n└── application/ # Orchestration"
      },
      {
        "title": "2. Three-Layer Architecture 🏗️",
        "body": "Domain (Pure)\n\nNo I/O, no side effects\nFeature transformations\nPure functions or immutable objects\n\nI/O (Impure)\n\nExternal interactions\nLoad data, save models\nClasses for state management\n\nApplication\n\nWire Domain + I/O\nTraining loops, inference"
      },
      {
        "title": "Quick Start",
        "body": "# Create package structure\n./scripts/create-package.sh my_ml_package\n\n# Add CLI entrypoint to pyproject.toml:\n# [project.scripts]\n# train = \"my_ml_package.application.train:main\""
      },
      {
        "title": "Key Files",
        "body": "Generated files:\n\nsrc/my_package/domain/features.py - Feature engineering\nsrc/my_package/io/data.py - Data loading/saving\nsrc/my_package/application/train.py - Training pipeline"
      },
      {
        "title": "Author",
        "body": "Converted from MLOps Coding Course"
      },
      {
        "title": "v1.0.0 (2026-02-18)",
        "body": "Initial OpenClaw conversion\nAdded package generator"
      }
    ],
    "body": "MLOps Industrialization 🏭\n\nConvert notebooks to production packages.\n\nFeatures\n1. Package Structure Generator 📦\n\nCreate src/ layout:\n\n./scripts/create-package.sh my_package\n\n\nCreates:\n\nsrc/my_package/\n├── __init__.py\n├── io/          # I/O operations\n├── domain/      # Pure business logic\n└── application/ # Orchestration\n\n2. Three-Layer Architecture 🏗️\n\nDomain (Pure)\n\nNo I/O, no side effects\nFeature transformations\nPure functions or immutable objects\n\nI/O (Impure)\n\nExternal interactions\nLoad data, save models\nClasses for state management\n\nApplication\n\nWire Domain + I/O\nTraining loops, inference\nQuick Start\n# Create package structure\n./scripts/create-package.sh my_ml_package\n\n# Add CLI entrypoint to pyproject.toml:\n# [project.scripts]\n# train = \"my_ml_package.application.train:main\"\n\nKey Files\n\nGenerated files:\n\nsrc/my_package/domain/features.py - Feature engineering\nsrc/my_package/io/data.py - Data loading/saving\nsrc/my_package/application/train.py - Training pipeline\nAuthor\n\nConverted from MLOps Coding Course\n\nChangelog\nv1.0.0 (2026-02-18)\nInitial OpenClaw conversion\nAdded package generator"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/guohongbin-git/mlops-industrialization-cn",
    "publisherUrl": "https://clawhub.ai/guohongbin-git/mlops-industrialization-cn",
    "owner": "guohongbin-git",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/mlops-industrialization-cn",
    "downloadUrl": "https://openagent3.xyz/downloads/mlops-industrialization-cn",
    "agentUrl": "https://openagent3.xyz/skills/mlops-industrialization-cn/agent",
    "manifestUrl": "https://openagent3.xyz/skills/mlops-industrialization-cn/agent.json",
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}