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@intentsolutionsio/databricks-pack

v1.1.0

Published

Claude Code skill pack for Databricks - 24 skills covering lakehouse platform, Spark, and ML pipelines (v1, DEPRECATED — rebuilt as 5 live-detection skills + MCP in v2.0.0)

Readme

Databricks Skill Pack

24 production-ready skills for the Databricks Lakehouse Platform — Unity Catalog, Delta Lake, MLflow, Spark SQL, Asset Bundles, and the full REST API.

[!WARNING] This pack is being rebuilt — v1.x is deprecated. Every v1 skill below carries a deprecation banner and will be removed in [email protected], which replaces the 24 documentation-style skills with 5 live-detection skills + a shared databricks-workspace-mcp server that runs against your own workspace. If you have any databricks-* skill in your CLAUDE.md, read Migration: v1 → v2 before upgrading. The v2 rebuild ships on the databricks-pack slug (no rename).

Installation

/plugin install databricks-pack@claude-code-plugins-plus

What It Does

This pack gives Claude Code deep operational knowledge of Databricks: real REST API endpoints (/api/2.1/jobs/*, /api/2.0/clusters/*), real Python SDK patterns (databricks-sdk WorkspaceClient, typed error handling), real Spark SQL (Auto Loader, MERGE INTO, OPTIMIZE, Liquid Clustering), and real deployment workflows (Declarative Automation Bundles, GitHub Actions CI/CD).

Every skill contains working code, not placeholder templates.

Skills (24)

Standard (S01-S12)

| Skill | What It Covers | |-------|---------------| | databricks-install-auth | CLI v2, Python SDK, PAT/OAuth U2M/OAuth M2M, profiles | | databricks-hello-world | First cluster, notebook upload, runs/submit, SQL warehouse | | databricks-local-dev-loop | Databricks Connect v2, pytest fixtures, Asset Bundle sync | | databricks-sdk-patterns | Singleton client, typed errors, cluster lifecycle, job builder | | databricks-core-workflow-a | Medallion ETL: Auto Loader, MERGE upserts, DLT pipelines | | databricks-core-workflow-b | Feature Store, MLflow tracking, model registry, serving endpoints | | databricks-common-errors | OOM, concurrent writes, permissions, schema mismatch, 429 | | databricks-debug-bundle | Diagnostic tar.gz: cluster events, run output, driver logs | | databricks-rate-limits | Exponential backoff, token-bucket, idempotent submissions | | databricks-security-basics | Secret scopes, token rotation, column masking, audit queries | | databricks-prod-checklist | Pre-deploy checklist, job YAML, rollback procedure | | databricks-upgrade-migration | DBR version upgrade, Hive-to-Unity-Catalog, protocol upgrade |

Pro (P13-P18)

| Skill | What It Covers | |-------|---------------| | databricks-ci-integration | GitHub Actions, bundle validation, unit tests, OIDC auth | | databricks-deploy-integration | Declarative Automation Bundles, targets, variables, permissions | | databricks-webhooks-events | Notification destinations, SQL alerts, system table auditing | | databricks-performance-tuning | Cluster sizing, AQE, Liquid Clustering, Z-order, query plans | | databricks-cost-tuning | Billing tables, cluster policies, spot instances, instance pools | | databricks-reference-architecture | Lakehouse layout, Unity Catalog hierarchy, maintenance jobs |

Flagship (F19-F24)

| Skill | What It Covers | |-------|---------------| | databricks-multi-env-setup | Dev/staging/prod profiles, per-env secrets, Terraform | | databricks-observability | System tables, job health, cost-per-job, SQL alerts, Prometheus | | databricks-incident-runbook | Triage script, decision tree, evidence collection, postmortem | | databricks-data-handling | GDPR deletion, PII masking, retention enforcement, row-level security | | databricks-enterprise-rbac | SCIM groups, Unity Catalog grants, cluster policies, service principals | | databricks-migration-deep-dive | Hadoop/Snowflake/Redshift migration, schema conversion, cutover |

Key APIs Covered

| API | Endpoints | |-----|-----------| | Jobs API 2.1 | POST /api/2.1/jobs/create, runs/submit, run-now | | Clusters API 2.0 | create, list, start, delete, events | | SQL Statement API | execute-statement | | Unity Catalog | catalogs, schemas, tables, grants | | DBFS / Files API | put, get, list | | Secrets API | create-scope, put-secret, list-acls | | SCIM API | groups, users, service-principals | | Model Serving | serving-endpoints/create, query |

Usage

Skills trigger automatically on Databricks topics:

  • "Set up Databricks auth" -- databricks-install-auth
  • "Build a Delta Lake pipeline" -- databricks-core-workflow-a
  • "Deploy my Databricks job" -- databricks-deploy-integration
  • "Optimize my Spark queries" -- databricks-performance-tuning
  • "Set up Unity Catalog permissions" -- databricks-enterprise-rbac
  • "Migrate from Snowflake" -- databricks-migration-deep-dive

Architecture

Why two MCP servers, not one

The v2 rebuild ships with a deliberate split across two MCP servers, not a single shared one. Common question on contributor PRs — answering it once at the top so future readers don't have to re-derive it.

  • Databricks managed SQL MCP — serves system.* reads (cost data, query history, streaming progress). Operated by Databricks; we consume it.
  • Custom workspace MCP — serves cluster events, instance pools, pipeline event logs, external locations, storage credentials. Operated by this pack.

The two authenticate independently. Losing access to one does not disable the other; cost-leak-hunter (SQL MCP) and cluster-forensics (workspace MCP) fail independently when their respective MCP is unavailable. Single skills can be installed without pulling in the other MCP's dependency surface.

Full scope-boundary rationale — including the 8 → 6 endpoint cut and the auth-flow decisions — is in 000-docs/013-AT-ADEC-epic1-mcp-scope-adjustment.md. Reference document for any "why is this skill not pulling X?" question.

Thanks to @Gingiris-1031 (#795) for surfacing the isolation-story framing that made this section necessary.

Migration: v1 → v2

[email protected] is a ground-up rebuild. The 24 v1 skills described Databricks ops; the 5 v2 skills run them — live detection against your own workspace via a shared databricks-workspace-mcp server (control plane) composed with the Databricks managed SQL MCP (system.* reads). Rationale: 000-docs/007-AT-ADEC-databricks-v2-cto-decision.md and 000-docs/013-AT-ADEC-epic1-mcp-scope-adjustment.md.

Timeline: 1.1.0 (this release — deprecation banners) → 2.0.0 (5 skills + MCP, v1 skills removed with tombstones) → 2.1.0 (tombstones cleaned up). Users on auto-update get a 2–4 week window on 1.1.0 to read these banners before 2.0.0 lands.

Where each v1 skill goes

| v1 skill | v2 destination | |----------|----------------| | databricks-cost-tuning | databricks-cost-leak-hunter | | databricks-performance-tuning | databricks-cost-leak-hunter + databricks-cluster-forensics | | databricks-incident-runbook | databricks-cluster-forensics + databricks-streaming-guardian | | databricks-observability | databricks-streaming-guardian | | databricks-upgrade-migration | databricks-cluster-forensics (DBR-upgrade triage) | | databricks-debug-bundle · databricks-deploy-integration · databricks-local-dev-loop · databricks-ci-integration | databricks-bundle-medic | | databricks-migration-deep-dive · databricks-multi-env-setup · databricks-enterprise-rbac | databricks-uc-migration-pilot | | databricks-security-basics | databricks-uc-migration-pilot + databricks-bundle-medic (identity/secrets) | | databricks-hello-world · databricks-install-auth · databricks-sdk-patterns · databricks-core-workflow-a · databricks-core-workflow-b · databricks-common-errors · databricks-prod-checklist · databricks-rate-limits · databricks-webhooks-events · databricks-reference-architecture · databricks-data-handling | Cut — no direct replacement (setup folds into the MCP .env.sops + each skill's ## Prerequisites; checklists/architecture move into v2 references/; error catalogs ship per-skill) |

The 5 v2 skills

| v2 skill | What it does (live) | |----------|---------------------| | databricks-cost-leak-hunter (pilot) | $X/month wasted audit from your own system.billing.usage — idle clusters, All-Purpose-vs-Jobs, instance-pool waste, DLT tier, tag-based chargeback | | databricks-cluster-forensics | Cold-start / launch-failure / Photon / DBR-upgrade triage from cluster events | | databricks-streaming-guardian | Delta + Liquid Clustering + Structured Streaming + DLT health | | databricks-uc-migration-pilot | Unity Catalog readiness + IAM/SCIM + access tracing (HMS deadline Sept 30, 2026) | | databricks-bundle-medic | Asset Bundles deploy diagnostics + CMK rotation + PrivateLink audit |

Design Records

All architecture decisions, pain research, and pressure tests for this pack live in 000-docs/. Index: 000-INDEX.md.

License

MIT