How do I trigger the debug collection?

You can trigger the skill using natural language commands like 'databricks debug', 'collect databricks logs', or 'databricks support bundle'.

Do I need the Databricks CLI installed to use this skill?

Yes, the skill relies on the Databricks CLI and SDK being installed and configured to communicate with your workspace.

Does this skill expose my Databricks credentials?

No, the skill includes a specific redaction step that removes API tokens, secrets, and personal access tokens from configuration files before the bundle is packaged.

Can I use this for specific jobs or clusters?

Yes, you can provide specific Cluster IDs or Job Run IDs to the skill to narrow down the diagnostic collection to the affected resource.

What diagnostic information is included in the bundle?

The bundle contains environment versions, cluster configurations, event logs, job run states, task outputs, Spark driver logs, and optionally Delta table history.

Databricks Debug & Support Bundle

Name: Databricks Debug & Support Bundle
Author: micsapp

bymicsapp

0•

分析与监控

Collects comprehensive diagnostic evidence and logs from Databricks environments to streamline troubleshooting and support ticket creation.

The Databricks Debug Bundle skill automates the gathering of critical diagnostic information from Databricks workspaces, including cluster configurations, job run details, Spark driver logs, and Delta table metadata. It generates a standardized, redacted troubleshooting package suitable for submission to Databricks support, ensuring that all necessary context is captured while protecting sensitive credentials like API tokens. This skill is ideal for developers and data engineers who need to quickly diagnose persistent cluster failures, job errors, or data consistency issues within their Lakehouse environment.

主要功能

01Automated collection of cluster event logs and hardware configurations

02Secure redaction of API tokens and secrets from configuration files

03Standardized packaging of evidence into a compressed troubleshooting bundle

04Extraction of job run lifecycle states, task outputs, and error messages

05Retrieval of Spark driver logs and Delta table history diagnostics

060 GitHub stars

使用场景

01Preparing comprehensive diagnostic packages for Databricks support tickets

02Debugging intermittent job failures or cluster startup issues

03Auditing environment configurations and Delta table history for internal troubleshooting

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills databricks-debug-bundle

For use in Claude.ai and ChatGPT

主要功能

01Automated collection of cluster event logs and hardware configurations

02Secure redaction of API tokens and secrets from configuration files

03Standardized packaging of evidence into a compressed troubleshooting bundle

04Extraction of job run lifecycle states, task outputs, and error messages

05Retrieval of Spark driver logs and Delta table history diagnostics

060 GitHub stars

使用场景

01Preparing comprehensive diagnostic packages for Databricks support tickets

02Debugging intermittent job failures or cluster startup issues

03Auditing environment configurations and Delta table history for internal troubleshooting

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills databricks-debug-bundle

For use in Claude.ai and ChatGPT