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Databricks agent skills

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Every skill in https://github.com/databricks/databricks-agent-skills release v0.2.11, published 2026-08-17 and checked 2026-08-18: 30 skills.

This public catalog intentionally contains no local installation state. It describes what Databricks ships; run uv run refresh.py skills-local for a private comparison.

Skill Version What it covers
databricks-agent-bricks 0.1.0 Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-agent orchestration (MAS).
databricks-ai-functions 0.2.0 Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_s
databricks-aibi-dashboards 0.2.1 Create Databricks AI/BI dashboards.
databricks-app-design 0.1.0 Design the UX of custom-code Databricks Apps (AppKit/React) data screens — KPI/overview pages, reports, charts, tables, and Genie/chat data assistants
databricks-apps 0.1.2 Build apps on Databricks Apps platform.
databricks-apps-python 0.1.0 Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex.
databricks-core 0.1.0 Databricks CLI operations and the parent/entry-point skill for Databricks CLI use: authentication, profile selection, and bundles.
databricks-dabs — Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles).
databricks-data-discovery 0.1.0 Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP.
databricks-dbsql 0.1.0 >-
databricks-docs 0.1.0 Databricks documentation reference via llms.txt index.
databricks-execution-compute 0.1.0 Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clust
databricks-genie-agents 0.1.0 Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate a
databricks-iceberg 0.1.0 Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Ic
databricks-jobs 0.2.0 Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI.
databricks-lakebase 0.1.0 Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API.
databricks-lakeflow-connect 0.1.0 Build managed ingestion pipelines into Databricks using Lakeflow Connect.
databricks-metric-views 0.1.0 Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML.
databricks-ml-training 0.1.0 Train ML models on Databricks.
databricks-mlflow-evaluation 0.1.0 MLflow 3 GenAI agent evaluation.
databricks-model-serving 0.4.0 Databricks Model Serving endpoint lifecycle and ops.
databricks-pipelines 0.3.0 Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks.
databricks-python-sdk 0.1.0 Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.
databricks-serverless-migration 0.1.0 Migrate Databricks workloads from classic compute to serverless compute.
databricks-spark-structured-streaming 0.1.0 Comprehensive guide to Spark Structured Streaming for production workloads.
databricks-synthetic-data-gen 0.1.0 Generate realistic synthetic data using Spark + Faker (strongly recommended).
databricks-unity-catalog 0.3.0 Unity Catalog governance, access control, and observability.
databricks-unstructured-pdf-generation 0.1.0 Build RAG / unstructured-document evaluation datasets and demo documents (e.g.
databricks-vector-search 0.1.0 Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns
databricks-zerobus-ingest 0.1.0 Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC.

Do not edit. Run uv run refresh.py skills to update.