[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H5ZXABBTYGGMJX53BB9EKC":3,"skill-same:01M6H5ZXABBTYGGMJX53BB9EKC":74},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":59,"install":60,"resources":73},"01M6H5ZXABBTYGGMJX53BB9EKC","databricks-deploy-integration",null,"Deploy Databricks jobs and pipelines with Asset Bundles.\nUse when deploying jobs to different environments, managing deployments,\nor setting up deployment automation.\nTrigger with phrases like \"databricks deploy\", \"asset bundles\",\n\"databricks deployment\", \"deploy to production\", \"bundle deploy\".","micsapp\u002Fmicstec-skills","micsapp","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F82411001?v=4","01M6GWCFQ6D3PV8EHNY62NN5VW","01M6GWCFVE1PA5HG0DKC7AMFJ3",4,"MIT","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fdatabricks-pack\u002Fskills\u002Fdatabricks-deploy-integration\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"databricks deploy integration","deploy","databricks","integration","write","deployment automation","with","trigger","io","deployments","up","use","edit","codex","read","Bash","Production","code","deployment","automation","2026-11-10 10:12:30",false,"---\nname: databricks-deploy-integration\ndescription: |\n  Deploy Databricks jobs and pipelines with Asset Bundles.\n  Use when deploying jobs to different environments, managing deployments,\n  or setting up deployment automation.\n  Trigger with phrases like \"databricks deploy\", \"asset bundles\",\n  \"databricks deployment\", \"deploy to production\", \"bundle deploy\".\nallowed-tools: Read, Write, Edit, Bash(databricks:*)\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\n---\n# Databricks Deploy Integration\n\n## Overview\nDeploy Databricks jobs and pipelines using Databricks Asset Bundles (DABs). Asset Bundles provide infrastructure-as-code for deploying jobs, notebooks, DLT pipelines, and ML models across workspaces with proper environment isolation and CI\u002FCD integration.\n\n## Prerequisites\n- Databricks CLI v0.200+ installed (`databricks` command)\n- Workspace access with appropriate permissions\n- Service principal for automated deployments\n- `databricks.yml` bundle configuration\n\n## Instructions\n\n### Step 1: Initialize Asset Bundle\n```bash\n# Create new bundle from template\ndatabricks bundle init\n\n# Or manually create databricks.yml\n```\n\n```yaml\n# databricks.yml\nbundle:\n  name: etl-pipeline\n\nworkspace:\n  host: https:\u002F\u002Fmyworkspace.cloud.databricks.com\n\nresources:\n  jobs:\n    daily_etl:\n      name: daily-etl-${bundle.environment}\n      schedule:\n        quartz_cron_expression: \"0 0 6 * * ?\"\n        timezone_id: \"America\u002FNew_York\"\n      tasks:\n        - task_key: extract\n          notebook_task:\n            notebook_path: .\u002Fsrc\u002Fextract.py\n          new_cluster:\n            spark_version: \"14.3.x-scala2.12\"\n            node_type_id: \"i3.xlarge\"\n            num_workers: 2\n        - task_key: transform\n          depends_on:\n            - task_key: extract\n          notebook_task:\n            notebook_path: .\u002Fsrc\u002Ftransform.py\n\nenvironments:\n  development:\n    default: true\n    workspace:\n      host: https:\u002F\u002Fdev.cloud.databricks.com\n  staging:\n    workspace:\n      host: https:\u002F\u002Fstaging.cloud.databricks.com\n  production:\n    workspace:\n      host: https:\u002F\u002Fprod.cloud.databricks.com\n```\n\n### Step 2: Deploy to Environment\n```bash\n# Validate bundle configuration\ndatabricks bundle validate -e production\n\n# Deploy resources (create\u002Fupdate jobs, notebooks)\ndatabricks bundle deploy -e staging\n\n# Run a specific job\ndatabricks bundle run daily_etl -e staging\n\n# Destroy resources in an environment\ndatabricks bundle destroy -e development\n```\n\n### Step 3: CI\u002FCD Pipeline\n```yaml\n# .github\u002Fworkflows\u002Fdeploy.yml\nname: Deploy Databricks Bundle\non:\n  push:\n    branches: [main]\n\njobs:\n  deploy-staging:\n    runs-on: ubuntu-latest\n    environment: staging\n    steps:\n      - uses: actions\u002Fcheckout@v4\n      - uses: databricks\u002Fsetup-cli@main\n      - run: databricks bundle validate -e staging\n        env:\n          DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }}\n          DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_TOKEN }}\n      - run: databricks bundle deploy -e staging\n        env:\n          DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }}\n          DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_TOKEN }}\n\n  deploy-production:\n    needs: deploy-staging\n    runs-on: ubuntu-latest\n    environment: production\n    steps:\n      - uses: actions\u002Fcheckout@v4\n      - uses: databricks\u002Fsetup-cli@main\n      - run: databricks bundle deploy -e production\n        env:\n          DATABRICKS_HOST: ${{ secrets.DATABRICKS_PROD_HOST }}\n          DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_PROD_TOKEN }}\n```\n\n### Step 4: Verify Deployment\n```bash\n# List deployed jobs\ndatabricks jobs list --output json | jq '.[] | select(.settings.name | contains(\"etl\"))'\n\n# Check recent runs\ndatabricks runs list --job-id $JOB_ID --limit 5\n\n# Get run output\ndatabricks runs get-output --run-id $RUN_ID\n```\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Bundle validation fails | Invalid YAML | Run `databricks bundle validate` locally |\n| Permission denied | Missing workspace access | Check service principal permissions |\n| Cluster start fails | Quota exceeded | Request quota increase or use smaller nodes |\n| Job timeout | Long-running task | Set `timeout_seconds` in job config |\n\n## Examples\n\n\n**Basic usage**: Apply databricks deploy integration to a standard project setup with default configuration options.\n\n**Advanced scenario**: Customize databricks deploy integration for production environments with multiple constraints and team-specific requirements.\n\n## Resources\n- [Databricks Asset Bundles](https:\u002F\u002Fdocs.databricks.com\u002Fdev-tools\u002Fbundles)\n- [Databricks CLI](https:\u002F\u002Fdocs.databricks.com\u002Fdev-tools\u002Fcli)\n- [CI\u002FCD with Bundles](https:\u002F\u002Fdocs.databricks.com\u002Fdev-tools\u002Fbundles\u002Fci-cd.html)\n\n## Next Steps\nFor multi-environment setup, see `databricks-multi-env-setup`.\n\n## Output\n\n- Configuration files or code changes applied to the project\n- Validation report confirming correct implementation\n- Summary of changes made and their rationale","# Databricks Deploy Integration\n\n## Overview\nDeploy Databricks jobs and pipelines using Databricks Asset Bundles (DABs). Asset Bundles provide infrastructure-as-code for deploying jobs, notebooks, DLT pipelines, and ML models across workspaces with proper environment isolation and CI\u002FCD integration.\n\n## Prerequisites\n- Databricks CLI v0.200+ installed (`databricks` command)\n- Workspace access with appropriate permissions\n- Service principal for automated deployments\n- `databricks.yml` bundle configuration\n\n## Instructions\n\n### Step 1: Initialize Asset Bundle\n```bash\n# Create new bundle from template\ndatabricks bundle init\n\n# Or manually create databricks.yml\n```\n\n```yaml\n# databricks.yml\nbundle:\n  name: etl-pipeline\n\nworkspace:\n  host: https:\u002F\u002Fmyworkspace.cloud.databricks.com\n\nresources:\n  jobs:\n    daily_etl:\n      name: daily-etl-${bundle.environment}\n      schedule:\n        quartz_cron_expression: \"0 0 6 * * ?\"\n        timezone_id: \"America\u002FNew_York\"\n      tasks:\n        - task_key: extract\n          notebook_task:\n            notebook_path: .\u002Fsrc\u002Fextract.py\n          new_cluster:\n            spark_version: \"14.3.x-scala2.12\"\n            node_type_id: \"i3.xlarge\"\n            num_workers: 2\n        - task_key: transform\n          depends_on:\n            - task_key: extract\n          notebook_task:\n            notebook_path: .\u002Fsrc\u002Ftransform.py\n\nenvironments:\n  development:\n    default: true\n    workspace:\n      host: https:\u002F\u002Fdev.cloud.databricks.com\n  staging:\n    workspace:\n      host: https:\u002F\u002Fstaging.cloud.databricks.com\n  production:\n    workspace:\n      host: https:\u002F\u002Fprod.cloud.databricks.com\n```\n\n### Step 2: Deploy to Environment\n```bash\n# Validate bundle configuration\ndatabricks bundle validate -e production\n\n# Deploy resources (create\u002Fupdate jobs, notebooks)\ndatabricks bundle deploy -e staging\n\n# Run a specific job\ndatabricks bundle run daily_etl -e staging\n\n# Destroy resources in an environment\ndatabricks bundle destroy -e development\n```\n\n### Step 3: CI\u002FCD Pipeline\n```yaml\n# .github\u002Fworkflows\u002Fdeploy.yml\nname: Deploy Databricks Bundle\non:\n  push:\n    branches: [main]\n\njobs:\n  deploy-staging:\n    runs-on: ubuntu-latest\n    environment: staging\n    steps:\n      - uses: actions\u002Fcheckout@v4\n      - uses: databricks\u002Fsetup-cli@main\n      - run: databricks bundle validate -e staging\n        env:\n          DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }}\n          DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_TOKEN }}\n      - run: databricks bundle deploy -e staging\n        env:\n          DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }}\n          DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_TOKEN }}\n\n  deploy-production:\n    needs: deploy-staging\n    runs-on: ubuntu-latest\n    environment: production\n    steps:\n      - uses: actions\u002Fcheckout@v4\n      - uses: databricks\u002Fsetup-cli@main\n      - run: databricks bundle deploy -e production\n        env:\n          DATABRICKS_HOST: ${{ secrets.DATABRICKS_PROD_HOST }}\n          DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_PROD_TOKEN }}\n```\n\n### Step 4: Verify Deployment\n```bash\n# List deployed jobs\ndatabricks jobs list --output json | jq '.[] | select(.settings.name | contains(\"etl\"))'\n\n# Check recent runs\ndatabricks runs list --job-id $JOB_ID --limit 5\n\n# Get run output\ndatabricks runs get-output --run-id $RUN_ID\n```\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Bundle validation fails | Invalid YAML | Run `databricks bundle validate` locally |\n| Permission denied | Missing workspace access | Check service principal permissions |\n| Cluster start fails | Quota exceeded | Request quota increase or use smaller nodes |\n| Job timeout | Long-running task | Set `timeout_seconds` in job config |\n\n## Examples\n\n\n**Basic usage**: Apply databricks deploy integration to a standard project setup with default configuration options.\n\n**Advanced scenario**: Customize databricks deploy integration for production environments with multiple constraints and team-specific requirements.\n\n## Resources\n- [Databricks Asset Bundles](https:\u002F\u002Fdocs.databricks.com\u002Fdev-tools\u002Fbundles)\n- [Databricks CLI](https:\u002F\u002Fdocs.databricks.com\u002Fdev-tools\u002Fcli)\n- [CI\u002FCD with Bundles](https:\u002F\u002Fdocs.databricks.com\u002Fdev-tools\u002Fbundles\u002Fci-cd.html)\n\n## Next Steps\nFor multi-environment setup, see `databricks-multi-env-setup`.\n\n## Output\n\n- Configuration files or code changes applied to the project\n- Validation report confirming correct implementation\n- Summary of changes made and their rationale",{"name":5,"author":48,"license":14,"version":49,"description":50,"allowed-tools":51,"compatible-with":52},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Deploy Databricks jobs and pipelines with Asset Bundles.\nUse when deploying jobs to different environments, managing deployments,\nor setting up deployment automation.\nTrigger with phrases like \"databricks deploy\", \"asset bundles\",\n\"databricks deployment\", \"deploy to production\", \"bundle deploy\".\n","Read, Write, Edit, Bash(databricks:*)","claude-code, codex, openclaw","master","3f5d983eb4ef375b749adcd6b07ec03bd82ae8a8","claude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fdatabricks-pack\u002Fskills\u002Fdatabricks-deploy-integration",0,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills","https:\u002F\u002Fgithub.com\u002Fmicsapp","2026-03-20 11:24:18",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add micsapp\u002Fmicstec-skills --skill databricks-deploy-integration",{"tool":66,"command":67},"bunx","bunx skills add micsapp\u002Fmicstec-skills --skill databricks-deploy-integration",{"tool":69,"command":70},"pnpm","pnpm dlx skills add micsapp\u002Fmicstec-skills --skill databricks-deploy-integration","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fdatabricks-pack\u002Fskills\u002Fdatabricks-deploy-integration\u002FSKILL.md",true,[],[75,110,136,156,176,200],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":89,"publishedAt":43},"01M6HBTJ02FXBFG9NYEHHYAP52","azure-apim-architecture","Analyzes and explains Azure API Management architecture decisions for enterprise API marketplace implementations using VNet Internal mode, Front Door, hybrid authentication, and multi-environment strategies. 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