Azure Synapse Analytics
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration…
Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses.
Install Databricks Execution Compute
$ npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-execution-compute --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/databricks-execution-compute .claude/skills/databricks-execution-compute && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "databricks-execution-compute" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-execution-compute into .claude/skills/databricks-execution-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-execution-compute", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-execution-computeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-execution-compute --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/databricks-execution-compute .agents/skills/databricks-execution-compute && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "databricks-execution-compute" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-execution-compute into .agents/skills/databricks-execution-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-execution-compute", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-execution-compute --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/databricks-execution-compute .cursor/skills/databricks-execution-compute && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "databricks-execution-compute" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-execution-compute into .cursor/skills/databricks-execution-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-execution-compute", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/databricks/databricks-agent-skills.git --path skills/databricks-execution-compute--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-execution-compute --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/databricks-execution-compute .gemini/skills/databricks-execution-compute && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "databricks-execution-compute" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-execution-compute into .gemini/skills/databricks-execution-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-execution-compute", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install databricks/databricks-agent-skills databricks-execution-computeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/databricks-execution-compute .github/skills/databricks-execution-compute && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "databricks-execution-compute" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-execution-compute into .github/skills/databricks-execution-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-execution-compute", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-execution-compute --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/databricks-execution-compute .opencode/skills/databricks-execution-compute && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "databricks-execution-compute" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-execution-compute into .opencode/skills/databricks-execution-compute/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-execution-compute", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
databricks-execution-compute- GitHub stars
- 345
- Token cost
- ~2.3k tokens
- SKILL.md length
- 671 words
- Files
- 7 (incl. references, assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses.
- Tasks that involve Serverless
- SKILL.md covers Execution Mode Decision Matrix, How to Run Code, CLI Command Map and Related Skills
- Calls databricks, jq and python
- Tasks that involve SQL
What it does
Databricks Execution Compute is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files and assets (for example `agents/openai.yaml`, `references/1-databricks-connect.md` and `references/2-serverless-job.md`). Compatibility notes: Requires databricks CLI (= v1.0.0)
It sits in Backend & APIs, covering Serverless and SQL. It works with Databricks, SQL and Python. The repository describes itself as: Databricks AI Tools: skills and plugins for building on Databricks with Claude Code, Cursor, Codex, GitHub Copilot, and other AI coding agents.
When your agent uses it
- Tasks that involve Serverless
- Tasks that involve SQL
Example prompts
- “/databricks-execution-compute”
Requirements
- Python 3
- Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0)
What it can do on your machine
Read from SKILL.md and the folder at commit f4fcec5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
databricksjqpython
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires databricks CLI (>= v1.0.0)
From compatibility in the SKILL.md frontmatter.
Context cost
Databricks Execution Compute loads about 2.3k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 671 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 671 words (~2,261 tokens).
“Run code on Databricks. Three execution modes—choose based on workload. All examples below use the Databricks CLI; see the databricks-core skill for install and authentication.”
- name
- databricks-execution-compute
- compatibility
- Requires databricks CLI (>= v1.0.0)
- metadata.version
- 0.1.0
- parent
- databricks-core
Files
SKILL.md and 6 other files (references, assets) in skills/databricks-execution-compute of databricks/databricks-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/databricks.png
- assets/databricks.svg
- references/1-databricks-connect.md
- references/2-serverless-job.md
- references/3-interactive-cluster.md
Open the folder on GitHubat commit f4fcec5
Compare with similar skills
Databricks Execution Compute next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Databricks Execution Compute this skilldatabricks/databricks-agent-skills | 345 | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Azure Synapse AnalyticsMicrosoftDocs/Agent-Skills | 775 | 1 repos | ~13k | Automated safety check: Pass | CC-BY-4.0 | |
| Databricksrocky-data/rocky | 304 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Cookbook Computedatabricks-solutions/databricks-apps-cookbook | 183 | — | ~790 | Automated safety check: Pass | Custom licence | |
| Databricks JobsKilo-Org/kilo-marketplace | 189 | 1 repos | ~3.1k | Automated safety check: Pass | Custom licence | |
| Aurora Dsqlaws/agent-toolkit-for-aws | 2.8k | — | ~9.6k | Automated safety check: Pass | Apache-2.0 |
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Databricks Jobs
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Related
Works with
Categories
Questions about Databricks Execution Compute
What does Databricks Execution Compute do?
Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses. Databricks Execution Compute is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses.
When should I use Databricks Execution Compute?
Databricks Execution Compute fits situations like: tasks that involve Serverless; tasks that involve SQL.
How do I install Databricks Execution Compute in Claude Code?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a claude-code`. Or copy the skill folder (skills/databricks-execution-compute in databricks/databricks-agent-skills) into .claude/skills/databricks-execution-compute in your project. Claude Code loads it when a task matches its description.
How do I install Databricks Execution Compute in Codex?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a codex`. Or copy the skill folder (skills/databricks-execution-compute in databricks/databricks-agent-skills) into .agents/skills/databricks-execution-compute in your project. Codex loads it when a task matches its description.
Can I use Databricks Execution Compute in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add databricks/databricks-agent-skills --skill databricks-execution-compute -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/databricks-execution-compute, .gemini/skills/databricks-execution-compute, .github/skills/databricks-execution-compute and .opencode/skills/databricks-execution-compute in your project.
What does Databricks Execution Compute need to run?
Going by SKILL.md and its folder, Databricks Execution Compute needs the command-line tools its instructions call (databricks, jq and python). Our summary lists: Python 3. Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0).
Does Databricks Execution Compute access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Databricks Execution Compute safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Databricks Execution Compute use?
Databricks Execution Compute has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Databricks Execution Compute use?
About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.
What are the alternatives to Databricks Execution Compute?
Skills that share tags, products or a category with Databricks Execution Compute: Azure Synapse Analytics (MicrosoftDocs/Agent-Skills, 775 stars), Databricks (rocky-data/rocky, 304 stars), Cookbook Compute (databricks-solutions/databricks-apps-cookbook, 183 stars) and Databricks Jobs (Kilo-Org/kilo-marketplace, 189 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databricks Execution Compute?
databricks (a GitHub organization, an official publisher) maintains it in databricks/databricks-agent-skills, which has 345 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 6, 2026.
Source: databricks/databricks-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.