claude

databricks-pack

Complete Databricks integration skill pack with 24 skills covering Delta Lake, MLflow, notebooks, clusters, and data engineering workflows. Flagship tier vendor pack.

2 on GitHubby Jeremy Longshorev1.0.0MITupdated 6 months agosaas-packs
/

Plugin databricks-pack from marketplace claude-code-plugins-plus in flight505/skill-forge. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (24)

  • databricks-ci-integration

    Configure Databricks CI/CD integration with GitHub Actions and Asset

  • databricks-common-errors

    Diagnose and fix Databricks common errors and exceptions.

  • databricks-core-workflow-a

    Execute Databricks primary workflow: Delta Lake ETL pipelines.

  • databricks-core-workflow-b

    Execute Databricks secondary workflow: MLflow model training and deployment.

  • databricks-cost-tuning

    Optimize Databricks costs with cluster policies, spot instances, and

  • databricks-data-handling

    Implement Delta Lake data management patterns including GDPR, PII handling,

  • databricks-debug-bundle

    Collect Databricks debug evidence for support tickets and troubleshooting.

  • databricks-deploy-integration

    Deploy Databricks jobs and pipelines with Declarative Automation Bundles.

  • databricks-enterprise-rbac

    Configure Databricks enterprise SSO, Unity Catalog RBAC, and organization

  • databricks-hello-world

    Create a minimal working Databricks example with cluster and notebook.

  • databricks-incident-runbook

    Execute Databricks incident response procedures with triage, mitigation,

  • databricks-install-auth

    Install and configure Databricks CLI and SDK authentication.

  • databricks-local-dev-loop

    Configure Databricks local development with Databricks Connect, Asset

  • databricks-migration-deep-dive

    Execute comprehensive platform migrations to Databricks from legacy

  • databricks-multi-env-setup

    Configure Databricks across development, staging, and production environments.

  • databricks-observability

    Set up comprehensive observability for Databricks with metrics, traces,

  • databricks-performance-tuning

    Optimize Databricks cluster and query performance.

  • databricks-prod-checklist

    Execute Databricks production deployment checklist and rollback procedures.

  • databricks-rate-limits

    Implement Databricks API rate limiting, backoff, and idempotency patterns.

  • databricks-reference-architecture

    Implement Databricks reference architecture with best-practice project

  • databricks-sdk-patterns

    Apply production-ready Databricks SDK patterns for Python and REST API.

  • databricks-security-basics

    Apply Databricks security best practices for secrets and access control.

  • databricks-upgrade-migration

    Upgrade Databricks runtime versions and migrate between features.

  • databricks-webhooks-events

    Configure Databricks job notifications, webhooks, and event handling.

View source on GitHub tonsofskills.com

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