Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps; retrieve OpenAPI schemas; inspect logs, metrics, or permissions; manage legacy AI Gateway rate limits (not Unity Gateway); discover Foundation Model API endpoints at runtime…
Install
npx skills add databricks/databricks-agent-skills --skill databricks-model-servingnpx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a claude-code -gnpx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a codex -ggemini skills install https://github.com/databricks/databricks-agent-skills.git --path skills/databricks-model-servinggh skill install databricks/databricks-agent-skills databricks-model-servinggit clone --depth 1 https://github.com/databricks/databricks-agent-skills /tmp/databricks__databricks-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/databricks__databricks-agent-skills/skills/databricks-model-serving ~/.claude/skills/databricks-model-serving # Claude Code
cp -R /tmp/databricks__databricks-agent-skills/skills/databricks-model-serving ~/.agents/skills/databricks-model-serving # Codex, Cursor, Gemini CLI, Copilot, OpenCode