databricks-execution-compute
SkillExecute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses.
Install
git clone https://github.com/databricks/databricks-agent-skills.git ~/.claude/skills/databricks-execution-computeWhat is databricks-execution-compute?
Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~43 tokens of context used while enabled, before you invoke anything
Documentation
README · ~5 min readDatabricks Execution & Compute
Run code on Databricks. Three execution modes—choose based on workload. All examples below use the Databricks CLI; see the databricks-core skill for install and authentication.
Execution Mode Decision Matrix
| Aspect | Databricks Connect ⭐ | Serverless Job | Interactive Cluster |
|---|---|---|---|
| Use for | Spark code (ETL, data gen) | Heavy processing (ML) | State across tool calls, Scala/R |
| Startup | Instant | ~25-50s cold start | ~5min if stopped |
| State | Within Python process | None | Via context_id |
| Languages | Python (PySpark) | Python, SQL | Python, Scala, SQL, R |
| Dependencies | withDependencies() | CLI with environments spec | Install on cluster |
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