Search everything...

Stats

Actions

Available In

databricks-ai-dev-kit

Databricks development toolkit with skills for data engineering, ML, and AI agents plus MCP tools for direct Databricks operations

ClaudePluginHub fallbackgenerated from the plugin's indexed repository (auschoi96/ai-dev-kit) — no native marketplace selected

npx claudepluginhub auschoi96/ai-dev-kit

Popularity

Stars

Med: 0·Avg: 495

Copy clicks

Med: 0·Avg: 1

What's Inside

Skills27

template

/TEMPLATE

A brief one-sentence description of what this skill helps with.

databricks-agent-bricks

/databricks-agent-bricks

Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Supervisor Agents (MAS) for multi-agent orchestration. Use when building conversational AI applications on Databricks.

databricks-ai-functions

/databricks-ai-functions

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_similarity, ai_parse_document, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → chunk → index → query).

databricks-aibi-dashboards

/databricks-aibi-dashboards

Create Databricks AI/BI dashboards. Use when creating, updating, or deploying Lakeview dashboards. CRITICAL: You MUST test ALL SQL queries via execute_sql BEFORE deploying. Follow guidelines strictly.

databricks-app-python

/databricks-app-python

Builds Python-based Databricks applications using Dash, Streamlit, Gradio, Flask, FastAPI, or Reflex. Handles OAuth authorization (app and user auth), app resources, SQL warehouse and Lakebase connectivity, model serving integration, foundation model APIs, LLM integration, and deployment. Use when building Python web apps, dashboards, ML demos, or REST APIs for Databricks, or when the user mentions Streamlit, Dash, Gradio, Flask, FastAPI, Reflex, or Databricks app.

Hooks1

Event Hooks

2 hooks across 1 event

MCP Servers1

databricks

admin

The plugin manifest points to a different repository than the source indexed by ClaudePluginHub.

Stats

Version1.0.0

LanguagePython

Stars0

MaintenanceExcellent

LicenseDB License (see repo)

Last CommitMay 7, 2026

AddedJul 14, 2026

Actions

View on GitHub View README Plugin Marketplace JSON Homepage

Own this plugin?

Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).

Safety Signals

Critical

Admin access level

Server config contains admin-level keywords

README

Databricks AI Dev Kit

🔒 Proactive Dependency Security
As part of our commitment to supply chain integrity, we continually monitor our dependency tree against known vulnerabilities and industry advisories. In response to a recently disclosed supply chain incident affecting litellm versions 1.82.7–1.82.8, we have audited our packages and removed the litellm dependency for most usage. It is solely used in the test directory for skills evaluation and optimization, and has been pinned to a safe version.
For full third-party attribution, see NOTICE.txt.

Overview

AI-Driven Development (vibe coding) on Databricks just got a whole lot better. The AI Dev Kit gives your AI coding assistant (Claude Code, Cursor, Antigravity, Windsurf, etc.) the trusted sources it needs to build faster and smarter on Databricks.

Architecture

What Can I Build?

Spark Declarative Pipelines (streaming tables, CDC, SCD Type 2, Auto Loader)
Databricks Jobs (scheduled workflows, multi-task DAGs)
AI/BI Dashboards (visualizations, KPIs, analytics)
Unity Catalog (tables, volumes, governance)
Genie Spaces (natural language data exploration)
Knowledge Assistants (RAG-based document Q&A)
MLflow Experiments (evaluation, scoring, traces)
Model Serving (deploy ML models and AI agents to endpoints)
Databricks Apps (full-stack web applications with foundation model integration)
...and more

Choose Your Own Adventure

Adventure	Best For	Start Here
:star: Install AI Dev Kit	Start here! Follow quick install instructions to add to your existing project folder	Quick Start (install)
Visual Builder App	Web-based UI for Databricks development	`databricks-builder-app/`
Builder App + Genie Code MCP	Builder UI + MCP server for Genie Code in one deployment	`deploy.sh --enable-mcp`
Core Library	Building custom integrations (LangChain, OpenAI, etc.)	`pip install`
Skills Only	Provide Databricks patterns and best practices (without MCP functions)	Install skills
Genie Code Skills	Install skills into your workspace for Genie Code (`--install-to-genie`)	Genie Code skills (install)
MCP Tools Only	Just executable actions (no guidance)	Register MCP server

Quick Start

Prerequisites

uv - Python package manager
Databricks CLI - Command line interface for Databricks
AI coding environment (one or more):
- Claude Code
- Cursor
- Gemini CLI
- Antigravity
- Codex
- Copilot
- Windsurf
- OpenCode

Install in existing project

By default this will install at a project level rather than a user level. This is often a good fit, but requires you to run your client from the exact directory that was used for the install. Note: Project configuration files can be re-used in other projects. You find these configs under .claude, .cursor, .gemini, .codex, .github, .agents, .windsurf, .codeium, .opencode, or opencode.json

Mac / Linux

Basic installation (uses DEFAULT profile, project scope)

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh)

Advanced Options (click to expand)

Global installation with force reinstall

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --global --force

Specify profile and force reinstall

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --profile DEFAULT --force

Install for specific tools only

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --tools cursor,gemini,antigravity,windsurf,opencode

Next steps: Respond to interactive prompts and follow the on-screen instructions.

Note: Cursor and Copilot require updating settings manually after install.

View full README on GitHub

databricks-ai-dev-kit

Popularity

What's Inside

Confidence

README

Databricks AI Dev Kit

Overview

What Can I Build?

Choose Your Own Adventure

Quick Start

Prerequisites

Install in existing project

Mac / Linux

Similar Plugins

chrome-devtools-mcp

ecc

fullstack-dev-skills

nature-skills

mattpocock-skills

superpowers

Databricks AI Dev Kit

Overview

What Can I Build?

Choose Your Own Adventure

Quick Start

Prerequisites

Install in existing project

Mac / Linux

Popularity

Health & Quality

Similar Plugins

chrome-devtools-mcp

ecc

fullstack-dev-skills

nature-skills

mattpocock-skills

superpowers