Agent Native

databricks-model-serving

Manages Databricks Model Serving endpoint lifecycle including creation, configuration, traffic routing, and monitoring.

by DatabricksOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (databricks)

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode
License
LicenseRef-Databricks (restricted)
Pin
e3df77bpinned Oct 9, 2026
Context cost
about 3,200 tokenswhen the skill loads
GitHub stars
345on databricks/databricks-agent-skills
Scripts
None found

What it does

“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).”
The author's description, from SKILL.md

Generated summary from the skill's own text

Manages Databricks Model Serving endpoint lifecycle including creation, configuration, traffic routing, and monitoring. Enables deployment of foundation models, custom ML models, and external models as REST APIs with features like A/B testing, canary deployments, and zero-downtime version swaps. Integrates with Databricks Apps and supports streaming from off-platform clients.

When to use it

  • Deploy or update model serving endpoints with routing and scaling configuration
  • Perform zero-downtime model version swaps with traffic management
  • Configure legacy AI Gateway rate limits and inspect endpoint metrics or logs
  • Discover foundation model API endpoints and integrate them into Databricks Apps

When not to

  • Managing Unity Gateway or model services (use databricks-unity-gateway instead)
  • Training models, MLflow tracking, or custom PyFunc authoring (use databricks-ml-training)
  • Knowledge Assistants or multi-step agent orchestration (use databricks-agent-bricks)

Install

Restricted license: install from the publisher's repository and read its terms.

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add databricks/databricks-agent-skills --skill databricks-model-serving

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install databricks/databricks-agent-skills databricks-model-serving@e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6

Installs the commit we checked (e3df77b).

Copy by hand

Download the folder at e3df77b and put it in .claude/skills/databricks-model-serving for Claude Code and in .agents/skills/databricks-model-serving for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at e3df77b

Claude Code plugin

/plugin install databricks@claude-plugins-official

The publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "databricks-model-serving" by Databricks.

Source, pinned to commit e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6:
https://github.com/databricks/databricks-agent-skills/tree/e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6/plugins/databricks/claude/skills/databricks-model-serving

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/databricks-model-serving/ for Claude Code and .agents/skills/databricks-model-serving/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Its license is restricted or not stated. Show me the license terms from the repository before you copy anything.

Listing and checks: https://www.agentnative.dev/skills/databricks/databricks-model-serving

SKILL.md at the pin

The license of this skill does not let us show its files here.

View SKILL.md on GitHub at e3df77b

Files

5 files, 36 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at e3df77b

Also in

The same SKILL.md content appears in these places too. We list it once and credit the oldest public source.

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The skills listed here are third-party software, collected from public GitHub repositories as a catalog of recent skills and provided as is. Agent Native does not write or control them and is not responsible for any harm, loss or damage caused by installing or using them. Labels and checks describe what we saw at one commit and are not a guarantee. Read a skill's files before you run it. Terms of use