azure-databricks

azure-databricks is a Data warehousing & modelling skill for AI agents, published by MicrosoftDocs in the Agent-Skills repository on GitHub. Skillspace rates azure-databricks D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakehouse/Lakeflow, Lakebase, SQL warehouses, or ML/GenAI model serving, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
657

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubMicrosoftDocs/Agent-Skills

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
CC-BY-4.0
Adoption
Adopted by 0 other repositories, in 1 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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