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databricks-execution-compute

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Execute code and control Databricks compute

Data & Analytics#serverless#mcp#cluster-management#code-execution#compute#databricks
AuthorThomazRossito
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It removes the complexity of choosing and managing the right Databricks compute option for running Spark, Python, SQL, Scala, or R workloads, while handling cluster lifecycle and cost considerations.

Core Features & Use Cases

  • Execution Mode Decision Matrix: Guides selection between Databricks Connect, Serverless Jobs, and Interactive Clusters based on workload characteristics.
  • MCP Tools: execute_code, list_compute, manage_cluster, and manage_sql_warehouse enable running code, discovering resources, and managing clusters or warehouses.
  • Use Cases: Fast Spark development with Connect, heavy ML training on Serverless Jobs, or stateful multi-step pipelines on Interactive Clusters.

Quick Start

Ask the assistant to run my data processing script on Databricks with the appropriate compute mode.

Dependency Matrix

Required Modules

None required

Components

references

đź’» Claude Code Installation

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Please help me install this Skill:
Name: databricks-execution-compute
Download link: https://github.com/ThomazRossito/data-agents/archive/main.zip#databricks-execution-compute

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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