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Databricks 2025

Checked
josiahsiegel·vlatest·data·MIT

This skill leverages Databricks 2025 for advanced data analysis and transformation workflows, streamlining your data projects.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add josiahsiegel/claude-plugin-marketplace --skill databricks-2025 -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

josiahsiegel

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 josiahsiegel/claude-plugin-marketplace at 5a1b1123b9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5a1b1123b9
Manifest
plugins/adf-master/skills/databricks-2025/SKILL.md
Scanned
3 files, 582 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The databricks-2025 skill provides AI agents with direct access to the Databricks ecosystem, enabling seamless interaction with data engineering and machine learning workflows. It allows agents to execute SQL queries, manage notebooks, and orchestrate jobs within a Databricks workspace without manual API intervention.

When to use it

  • Automating routine data transformation tasks in Delta Lake tables.
  • Triggering scheduled ML training pipelines based on data availability.
  • Generating and executing SQL queries for ad-hoc data exploration.
  • Managing cluster lifecycles to optimize resource usage and costs.

Key capabilities

  • Execute SQL statements against Databricks SQL warehouses.
  • Create, edit, and run Jupyter notebooks programmatically.
  • Trigger and monitor Databricks Jobs and Workflows.
  • Interact with Unity Catalog for metadata and governance tasks.
  • Manage cluster configurations and scaling policies.

Example prompts

  • "Create a new notebook in the analytics workspace that calculates daily sales totals from the orders table."
  • "Run the scheduled job named 'model-retrain-daily' and report its current status."
  • "Execute a SQL query to find the top 10 customers by revenue for Q4 2025."

Tips & gotchas

Ensure your AI agent has valid authentication credentials (e.g., service principals or personal access tokens) with appropriate permissions before attempting to execute commands. Be mindful of workspace quotas and cluster costs when instructing the agent to spin up new resources for testing.