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thbeh
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refresh-databricks-skills

Refresh and synchronize Databricks skills from an upstream repository using git commands.

Updated May 31, 2026
Search Tags:#software maintenance#Databricks#skill synchronization#skills update#skill refresh
One-click install
npx skills add https://github.com/thbeh/coding-agents-databricks-apps --skill refresh-databricks-skills-thbeh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: refresh-databricks-skills
Source: https://github.com/thbeh/coding-agents-databricks-apps/tree/main/.claude/skills/refresh-databricks-skills
Command: npx skills add https://github.com/thbeh/coding-agents-databricks-apps --skill refresh-databricks-skills-thbeh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, and includes scripts (resource) components.

What problem does it solve?

This Skill resolves the issue of outdated or missing Databricks skills in your project, allowing for easy updates and synchronization with the latest upstream sources.

Core Features & Use Cases

  • Skill Refreshing: Quickly pull and integrate the latest Databricks skills from an upstream source.
  • Skill Synchronization: Maintain an up-to-date library of skills by syncing with the upstream repository.
  • Use Case: After identifying that certain skills in your project are outdated, use this Skill to ensure all skills are current and in sync with the upstream source.

Quick Start

Use the refresh-databricks-skills skill to update all Databricks skills in the current project.

Frequently Asked Questions about refresh-databricks-skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synchronize outdated Databricks skills with an upstream repository?▼

Skill synchronization with an upstream repository is achieved by utilizing git commands to clone and update Databricks skill directories, ensuring your project maintains the latest skill set while preserving non-Databricks skills.

What is the best way to update Databricks skills without losing custom project files?▼

Updating Databricks skills without losing custom files is handled by a refresh process that explicitly preserves non-Databricks skills, pulling only the latest upstream skill directories into your project.

Do I need git to refresh my Databricks skill set?▼

Yes, git is required to refresh your Databricks skill set, because the skill synchronization process directly utilizes git commands to clone and update directories from the upstream source.

How does skill synchronization handle non-Databricks skills during an update?▼

Skill synchronization handles non-Databricks skills by preserving them intact during the update process, ensuring only the targeted Databricks skills are refreshed from the upstream repository.

Can I use this skill synchronization method for large Databricks projects?▼

Yes, you can use this skill synchronization method for large Databricks projects, as it maintains an up-to-date skill library by efficiently pulling and integrating the latest upstream skill directories.

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