databrickslabsOfficial·43 Agent Skills Included

coding-agents-databricks-apps

Browser-based coding agents wired to Databricks workspaces

Runs Claude Code, Codex, Gemini CLI, Hermes, and OpenCode inside a hosted Databricks App with browser terminals. Eliminates local setup, credential juggling, and ungoverned data access by routing model calls through AI Gateway and Unity Catalog. Ships 39 built-in Databricks skills covering SQL, pipelines, model serving, jobs, and testing so agents complete data workflows faster.

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npx skills add databrickslabs/coding-agents-databricks-apps --all -g -y

Available:

Points the agent to the canonical instructions file covering ephemeral-environment rules, Databricks auth gotchas, and a recovery cheat-sheet for working safely in this repo.

All Skills in This Repository (43)

Pure Emerald Level Indicators

📦 In Repo

databrickslabs

bdd-run

Execute Behave BDD test suites with tag filtering and JUnit/JSON reports.

databricks-docs

Retrieves official Databricks llms.txt index and product documentation for APIs and platform features.

using-git-worktrees

Create isolated git worktrees with gitignore verification and baseline tests.

databricks-config

Automate secure Databricks authentication profile setup for Connect, CLI, and SDK.

databricks-spark-structured-streaming

Develop Spark Structured Streaming pipelines on Databricks with Kafka ingestion and Delta writes.

test-driven-development

Enforce red-green-refactor cycles with mandatory failing tests before implementation.

refresh-databricks-skills

Synchronize Databricks skills from the upstream ai-dev-kit repository while preserving custom non-Databricks skills.

systematic-debugging

Investigate root causes through a structured 4-phase debugging workflow.

spark-python-data-source

Develops custom Apache Spark 4.0+ Python data source connectors for external systems.

databricks-model-serving

Deploy and manage MLflow models and AI agents on Databricks Model Serving endpoints.

databricks-dbsql

Implement Databricks SQL workflows with stored procedures and geospatial functions.

databricks-python-sdk

Configure Databricks Python SDK clients, clusters, and SQL queries.

Official

Intermediate

Frequently Asked Questions

FAQPage Schema

How to install coding-agents-databricks-apps?▼

Run `npx skills add databrickslabs/coding-agents-databricks-apps --all -g -y` in your terminal to install all skills globally.

What does CoDA do on Databricks?▼

It hosts coding agents like Claude Code, Codex, and Gemini CLI in your browser, pre-connected to your Databricks workspace with governed data access and automatic MLflow tracing.

Which Databricks tasks do the built-in skills cover?▼

The 39 skills cover SQL warehouses, Spark pipelines, model serving, vector search, jobs, Unity Catalog, Lakebase, dashboards, and BDD testing workflows.

Do I need to configure API keys for each coding agent?▼

No. On first terminal session you paste one short-lived token, and all agents are configured automatically through the Databricks AI Gateway with token rotation.

Can non-engineers use these Databricks skills?▼

Yes. Once installed, your coding agent applies the skills from plain-English requests, so you can build pipelines, dashboards, or Genie spaces without writing code yourself.