Skip to content
TrustedSkillsbeta
Back to all skills

Databricks Common Errors

Listed
jeremylongshore·vlatest·data·MIT

This skill identifies and explains common Databricks error messages, saving you time troubleshooting and accelerating your workflow.

Repository

Install on your platform

This skill no longer installs under the name databricks-common-errors. jeremylongshore/tons-of-skills-marketplace has no skill named "databricks-common-errors" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

jeremylongshore

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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

What it does

This skill helps identify and interpret common Databricks error messages. It can analyze error logs, suggest potential causes based on the message text, and recommend troubleshooting steps to resolve issues within a Databricks environment. The goal is to reduce debugging time and improve overall cluster stability.

When to use it

  • You're encountering an unexpected error while running a Databricks notebook or job.
  • You need help understanding a cryptic error message in your Databricks logs.
  • You want to proactively identify potential issues within your Databricks environment before they impact production workloads.
  • You are debugging performance bottlenecks related to data processing errors.

Key capabilities

  • Error Message Analysis: Interprets and explains common Databricks error messages.
  • Root Cause Suggestion: Proposes possible causes for identified errors.
  • Troubleshooting Recommendations: Provides steps to resolve the detected issues.

Example prompts

  • "What does this Databricks error mean: 'java.lang.IllegalArgumentException: UDF cannot be null'?"
  • "I’m getting a ‘ResourceNotFoundException’ in my Databricks cluster, what could be causing it?"
  • “Can you suggest troubleshooting steps for the following Databricks error: 'org.apache.spark.sql.AnalysisException: Cannot resolve '...'”

Tips & gotchas

  • Provide the full error message for accurate interpretation. The more context provided, the better the suggestions will be.