databricks-model-serving — Claude Code skill: Model Serving endpoints
A skill that steers the agent through Databricks Model Serving endpoint work: creation, version swaps, traffic splits, logs. Useful when model rollouts go through CLI or MLflow.
npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a claude-codeWhat databricks-model-serving does
The skill spells out how an endpoint is put together: served entities plus traffic routes in the config, the AI Gateway layer, and the readiness state. From that the agent knows how to build an endpoint for pay-per-token foundation models, provisioned throughput, or a custom MLflow model, and how to poll until READY.
Version rollover gets its own section. The alias in Unity Catalog moves to the new number first; then the endpoint config is updated so its served_entities and traffic_config match. Do only one of the two and the route quietly points at the old version. A table of endpoint types sits alongside, and one blunt rule: check databricks serving-endpoints -h rather than guessing at syntax.
Scope lines are drawn hard. Legacy AI Gateway settings on an endpoint belong here, Unity Gateway work goes to databricks-unity-gateway, training and hand-written PyFunc to databricks-ml-training. The databricks CLI must be at least v0.294.0 and a profile has to be selected, or the first command fails.
What it helps with
- create a Model Serving endpoint from the CLI or MLflow Deployments
- point a production alias at a new model version with no downtime
- split traffic by percentage across two versions for an A/B test
- fetch an endpoint's OpenAPI schema and read its logs and metrics
- set legacy AI Gateway rate limits on an endpoint
Example prompts for the agent
- Run
databricks serving-endpoints create -hand build the JSON for a new endpoint on asystem.aimodel from what it shows. - Move the
prodalias to version 5, update the endpoint config, then confirmstate.ready. - Send 90 percent of traffic to the current version and 10 to the new one, and tell me how to roll back.
How to install databricks-model-serving
1Skills CLI (Vercel)
npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a claude-code2Manually: put the files in place
~/.claude/skills/databricks-model-serving/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/databricks-model-serving/
1Skills CLI (Vercel)
npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a codex2Manually: put the files in place
.agents/skills/databricks-model-serving/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a cursor2Manually: put the files in place
.cursor/skills/databricks-model-serving/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install databricks/databricks-agent-skills databricks-model-serving2Manually: put the files in place
.github/skills/databricks-model-serving/SKILL.md1Skills CLI (Vercel)
npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a gemini-cli2Platform CLI
gemini skills install https://github.com/databricks/databricks-agent-skills --path skills/databricks-model-servingManually: put the files in place
.devin/skills/databricks-model-serving/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about databricks-model-serving
How do I install databricks-model-serving in Claude Code?
Run npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a claude-code. The skill file then sits at ~/.claude/skills/databricks-model-serving/SKILL.md.
What does databricks-model-serving do?
It walks the agent through endpoint operations: creation, config updates, traffic routing, schema and log reads. Swapping a model version without downtime has its own section.
What does the skill need to work?
The databricks CLI at v0.294.0 or newer, plus a selected auth profile. Login and profile basics live in the parent databricks-core skill.
