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This entry duplicates databricks-model-serving, which is the one we list in search.

databricks-model-serving

Databricks Model Serving endpoint lifecycle and ops.

Skill by databricksOfficial

IndexedNOASSERTION★ 369
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/databricks-databricks-model-serving-2df15d

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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; integrate endpoints into Databricks Apps; or stream from off-platform clients (Vercel AI SDK v6, standalone Node.js). NOT for: Unity Gateway CRUD and management (databricks-unity-gateway), training, MLflow autologging, UC registration, custom PyFunc/ResponsesAgent authoring (databricks-ml-training); Knowledge Assistants/Supervisor Agents (databricks-agent-bricks); MLflow evaluation (databricks-mlflow-evaluation).

Use cases: backend, cloud, ml, agent-building

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What's inside

Skill name
databricks-model-serving
Description
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; integrate endpoints into Databricks Apps; or stream from off-platform clients (Vercel AI SDK v6, standalone Node.js). NOT for: Unity Gateway CRUD and management (databricks-unity-gateway), training, MLflow autologging, UC registration, custom PyFunc/ResponsesAgent authoring (databricks-ml-training); Knowledge Assistants/Supervisor Agents (databricks-agent-bricks); MLflow evaluation (databricks-mlflow-evaluation).
License
NOASSERTION
Compatibility
Requires databricks CLI (>= v0.294.0)
Metadata
version: 0.4.0
Instructions
254 lines in SKILL.md · view on GitHub

Files (5)

  • SKILL.md
  • openai.yaml · agents/
  • databricks.png · assets/
  • databricks.svg · assets/
  • off-platform-streaming.md · references/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from databricks/databricks-agent-skills

Signals

Stars
369
Forks
94
Open issues
34
Last commit (this folder)
Oct 8, 2026 (21 days ago)
Last release
Oct 23, 2026 (6 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
0.4.0
License
NOASSERTION
Repository
github.com/databricks/databricks-agent-skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

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Cite this page

databricks-model-serving skill. Agent Mart. https://agentmart.dev/skills/databricks-databricks-model-serving-2df15d (last updated 2026-10-24)