databricks-ai-runtime
This skill enables agents to submit and manage GPU training workloads on Databricks serverless compute using the `databricks air` CLI.
Identity proven by GitHub's verified organisation badge (databricks)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- LicenseRef-Databricks (restricted)
- Pin
- e3df77bpinned Oct 9, 2026
- Context cost
- about 2,900 tokenswhen the skill loads
- GitHub stars
- 345on databricks/databricks-agent-skills
- Scripts
- None found
What it does
“Databricks AI Runtime, the `databricks air` CLI commands for submitting and managing GPU training workloads on Databricks serverless compute. Use for: writing and submitting `databricks air` workload YAML, passing hyperparameters and secrets, checking run status, listing/cancelling runs, streaming a run's logs and watching its progress, custom Docker image setup, and environment configuration.”
Generated summary from the skill's own text
This skill enables agents to submit and manage GPU training workloads on Databricks serverless compute using the `databricks air` CLI. It covers writing workload YAML configurations, passing hyperparameters and secrets, monitoring run status, streaming logs, and handling distributed training across multiple nodes with various frameworks like PyTorch and Hugging Face Accelerate.
When to use it
- Submit distributed GPU training jobs without managing infrastructure
- Configure multi-node training with specific accelerator types and environment variables
- Pass hyperparameters and secrets to training scripts via YAML
- Monitor active training runs and stream their logs in real time
When not to
- Databricks CLI with `air` command is not installed or unavailable
- Managing small-scale single-GPU experiments on managed clusters
- Submitting non-training batch workloads or non-GPU compute tasks
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-ai-runtimeInstalls 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-ai-runtime@e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6Installs the commit we checked (e3df77b).
Copy by hand
Download the folder at e3df77b and put it in .claude/skills/databricks-ai-runtime for Claude Code and in .agents/skills/databricks-ai-runtime for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install databricks@claude-plugins-officialThe 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-ai-runtime" by Databricks. Source, pinned to commit e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6: https://github.com/databricks/databricks-agent-skills/tree/e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6/experimental/databricks-ai-runtime 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-ai-runtime/ for Claude Code and .agents/skills/databricks-ai-runtime/ 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-ai-runtime
SKILL.md at the pin
The license of this skill does not let us show its files here.
Files
- SKILL.md12 KB · 32702211e37b
- agents/
- openai.yaml419 B · fe23ee4c0d53
- assets/
- databricks.png15 KB · 06873c31ebda
- databricks.svg582 B · 00e528e4d5e6
- docker-images.md15 KB · be385d7b70bc
5 files, 43 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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