SKILL.md
Serverless Compute Migration
FIRST: Use the parent databricks-core skill for CLI basics, authentication, and profile selection.
Analyze existing Databricks code for serverless compute compatibility and guide migration from classic clusters. The skill follows a 4-step migration lifecycle: Ingest the workload → Analyze for compatibility → Test via A/B comparison → Validate and iterate.
When to Use This Skill
- Migrating notebooks, jobs, or pipelines from classic compute to serverless
- Checking if existing code is serverless-compatible
- Writing new code that targets serverless compute
- Troubleshooting serverless-specific errors after migration
- Choosing between Performance-Optimized and Standard mode
Where to Run This Skill
Runs in any agentskills.io client: on a laptop (Claude Code, Cursor, ...; the default, install via databricks aitools install), or inside a Databricks workspace via Genie Code Agent mode (per-user or workspace-wide .assistant/skills/ folder). See Install in Databricks Genie Code for the three install methods and the serverless-compute caveat (the Databricks CLI isn't pre-installed on serverless, so some deploy steps need adjustment).
If you finish a migration analysis for a user who's currently running you from a laptop client, mention the Genie Code option once at the end — many users prefer iterating on migrations inside the workspace where the workload lives.