{
  "schemaVersion": "1.0",
  "item": {
    "slug": "mlops-automation-cn",
    "name": "MLOps Automation",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/guohongbin-git/mlops-automation-cn",
    "canonicalUrl": "https://clawhub.ai/guohongbin-git/mlops-automation-cn",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/mlops-automation-cn",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=mlops-automation-cn",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "package.json",
      "references/ci-workflow.yml"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "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."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "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-automation-cn"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "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."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/mlops-automation-cn",
    "agentPageUrl": "https://openagent3.xyz/skills/mlops-automation-cn/agent",
    "manifestUrl": "https://openagent3.xyz/skills/mlops-automation-cn/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/mlops-automation-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 Automation 🤖",
        "body": "Automate tasks, containers, CI/CD, and ML experiments."
      },
      {
        "title": "1. Task Runner (just) ⚡",
        "body": "Copy justfile:\n\ncp references/justfile ../your-project/\n\nTasks:\n\njust check - Run all checks\njust test - Run tests\njust build - Build package\njust clean - Remove artifacts\njust train - Run training"
      },
      {
        "title": "2. Docker 🐳",
        "body": "Multi-stage build:\n\ncp references/Dockerfile ../your-project/\ndocker build -t my-model .\ndocker run my-model\n\nOptimizations:\n\nLayer caching (uv sync before copy src/)\nMinimal runtime image\nNon-root user"
      },
      {
        "title": "3. CI/CD (GitHub Actions) 🔄",
        "body": "Automated pipeline:\n\ncp references/ci-workflow.yml ../your-project/.github/workflows/ci.yml\n\nRuns on push/PR:\n\nLint (Ruff + MyPy)\nTest (pytest + coverage)\nBuild (package + Docker)"
      },
      {
        "title": "Quick Start",
        "body": "# Setup task runner\ncp references/justfile ./\n\n# Setup CI\nmkdir -p .github/workflows\ncp references/ci-workflow.yml .github/workflows/ci.yml\n\n# Setup Docker\ncp references/Dockerfile ./\n\n# Test locally\njust check\ndocker build -t test ."
      },
      {
        "title": "MLflow Tracking",
        "body": "import mlflow\n\nmlflow.autolog()\nwith mlflow.start_run():\n    mlflow.log_param(\"lr\", 0.001)\n    model.fit(X, y)\n    mlflow.log_metric(\"accuracy\", acc)"
      },
      {
        "title": "Author",
        "body": "Converted from MLOps Coding Course"
      },
      {
        "title": "v1.0.0 (2026-02-18)",
        "body": "Initial OpenClaw conversion\nAdded justfile template\nAdded Dockerfile\nAdded CI workflow"
      }
    ],
    "body": "MLOps Automation 🤖\n\nAutomate tasks, containers, CI/CD, and ML experiments.\n\nFeatures\n1. Task Runner (just) ⚡\n\nCopy justfile:\n\ncp references/justfile ../your-project/\n\n\nTasks:\n\njust check - Run all checks\njust test - Run tests\njust build - Build package\njust clean - Remove artifacts\njust train - Run training\n2. Docker 🐳\n\nMulti-stage build:\n\ncp references/Dockerfile ../your-project/\ndocker build -t my-model .\ndocker run my-model\n\n\nOptimizations:\n\nLayer caching (uv sync before copy src/)\nMinimal runtime image\nNon-root user\n3. CI/CD (GitHub Actions) 🔄\n\nAutomated pipeline:\n\ncp references/ci-workflow.yml ../your-project/.github/workflows/ci.yml\n\n\nRuns on push/PR:\n\nLint (Ruff + MyPy)\nTest (pytest + coverage)\nBuild (package + Docker)\nQuick Start\n# Setup task runner\ncp references/justfile ./\n\n# Setup CI\nmkdir -p .github/workflows\ncp references/ci-workflow.yml .github/workflows/ci.yml\n\n# Setup Docker\ncp references/Dockerfile ./\n\n# Test locally\njust check\ndocker build -t test .\n\nMLflow Tracking\nimport mlflow\n\nmlflow.autolog()\nwith mlflow.start_run():\n    mlflow.log_param(\"lr\", 0.001)\n    model.fit(X, y)\n    mlflow.log_metric(\"accuracy\", acc)\n\nAuthor\n\nConverted from MLOps Coding Course\n\nChangelog\nv1.0.0 (2026-02-18)\nInitial OpenClaw conversion\nAdded justfile template\nAdded Dockerfile\nAdded CI workflow"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/guohongbin-git/mlops-automation-cn",
    "publisherUrl": "https://clawhub.ai/guohongbin-git/mlops-automation-cn",
    "owner": "guohongbin-git",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/mlops-automation-cn",
    "downloadUrl": "https://openagent3.xyz/downloads/mlops-automation-cn",
    "agentUrl": "https://openagent3.xyz/skills/mlops-automation-cn/agent",
    "manifestUrl": "https://openagent3.xyz/skills/mlops-automation-cn/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/mlops-automation-cn/agent.md"
  }
}