Databricks Apps
CheckedThis skill lets you discover, launch, and manage Databricks applications directly from your workspace, boosting productivity and streamlining workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add databricks/databricks-agent-skills --skill databricks-apps -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
databricks
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned databricks/databricks-agent-skills at 660261a395.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 660261a395
- Manifest
- skills/databricks-apps/SKILL.md
- Scanned
- 57 files, 10,920 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill enables AI agents to discover and install applications within the Databricks environment. It streamlines the deployment of tools directly into your workspace, allowing agents to extend functionality without manual intervention.
When to use it
- Automating the setup of new data processing or machine learning libraries for an agent.
- Deploying pre-built connectors to integrate external data sources with Databricks workspaces.
- Rapidly prototyping by installing specific apps required for a particular analysis task.
- Managing workspace tooling by ensuring agents have access to the latest available applications.
Key capabilities
- Discovery of available applications within the Databricks ecosystem.
- Installation and configuration of selected apps directly into the agent's context.
- Integration with existing Databricks workspaces to enable new workflows immediately.
Example prompts
- "Install the latest MLflow app so I can track my model experiments."
- "Discover and deploy a connector that allows me to read data from Snowflake."
- "Set up a visualization app in my workspace to help generate reports automatically."
Tips & gotchas
Ensure your Databricks workspace has the necessary permissions to install applications before requesting deployment. Verify that the specific app you want to install is compatible with your current workspace version and cluster configurations.