Databricks
rocky-data/rocky
Databricks REST API and SQL reference for Rocky's warehouse adapter.
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.
Install Databricks Python SDK
$ npx skills add databricks/databricks-agent-skills --skill databricks-python-sdk -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-python-sdk --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-python-sdk .claude/skills/databricks-python-sdk && 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-python-sdk" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-python-sdk into .claude/skills/databricks-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-python-sdk", 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-python-sdkType 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-python-sdk -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-python-sdk --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-python-sdk .agents/skills/databricks-python-sdk && 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-python-sdk" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-python-sdk into .agents/skills/databricks-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-python-sdk", 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-python-sdk -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-python-sdk --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-python-sdk .cursor/skills/databricks-python-sdk && 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-python-sdk" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-python-sdk into .cursor/skills/databricks-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-python-sdk", 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-python-sdk--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-python-sdk -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-python-sdk --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-python-sdk .gemini/skills/databricks-python-sdk && 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-python-sdk" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-python-sdk into .gemini/skills/databricks-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-python-sdk", 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-python-sdkInstalls 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-python-sdk -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-python-sdk .github/skills/databricks-python-sdk && 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-python-sdk" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-python-sdk into .github/skills/databricks-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-python-sdk", 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-python-sdk -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-python-sdk --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-python-sdk .opencode/skills/databricks-python-sdk && 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-python-sdk" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-python-sdk into .opencode/skills/databricks-python-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-python-sdk", 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-python-sdk- GitHub stars
- 345
- Used in
- 1 other repo
- Token cost
- ~4.6k tokens
- SKILL.md length
- 488 words
- Files
- 10 (incl. references, assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.
- Works in 3 steps: Check the documentation URL pattern → Common categories → Fetch and verify before providing…
- Working with databricks-sdk
- SKILL.md covers Environment Setup, Configuration, Databricks Connect (Spark… and Direct REST API Access, plus 6 more sections
- Runs Python scripts from its folder; calls databricks and uv; reaches databricks-sdk-py.readthedocs.io and adb-xxx.azuredatabricks.net; needs DATABRICKS_TOKEN
What it does
Databricks Python SDK is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files and assets (for example `agents/openai.yaml`, `examples/1-authentication.py` and `examples/2-clusters-and-jobs.py`). Compatibility notes: Requires databricks CLI (= v1.0.0)
It sits in Backend & APIs, covering REST APIs. It works with Databricks, Python and SQL. 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
- Working with databricks-sdk
- Databricks-connect
- Databricks APIs
Example prompts
- “Use the databricks-python-sdk skill to databrick development guidance including Python SDK, Databricks Connect, CLI, and REST API”
- “/databricks-python-sdk”
Requirements
- Python 3
- A credential in DATABRICKS_TOKEN
- Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0)
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Check the documentation URL pattern
- Common categories
- Fetch and verify before providing guidance on parameters or return types.
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
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
databricksuv
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
databricks-sdk-py.readthedocs.ioadb-xxx.azuredatabricks.net
Also links to:
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
DATABRICKS_TOKEN
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 Python SDK loads about 4.6k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 488 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 488 words (~4,551 tokens).
“This skill provides guidance for Databricks SDK, Databricks Connect, CLI, and REST API.”
- name
- databricks-python-sdk
- compatibility
- Requires databricks CLI (>= v1.0.0)
- metadata.version
- 0.1.0
- parent
- databricks-core
Files
SKILL.md and 9 other files (references, assets) in skills/databricks-python-sdk of databricks/databricks-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/databricks.png
- assets/databricks.svg
- examples/1-authentication.py
- examples/2-clusters-and-jobs.py
- examples/3-sql-and-warehouses.py
- examples/4-unity-catalog.py
- examples/5-serving-and-vector-search.py
- references/doc-index.md
Open the folder on GitHubat commit f4fcec5
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in databricks/databricks-agent-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Databricks Python SDK 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 Python SDK this skilldatabricks/databricks-agent-skills | 345 | 1 repos | ~4.6k | Automated safety check: Pass | Custom licence | |
| Databricksrocky-data/rocky | 304 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| DBoracle/skills | 872 | — | ~1.4k | Automated safety check: Pass | UPL-1.0 | |
| Zhihu Searchitwanger/toBeBetterJavaer | 18k | — | ~1.5k | Automated safety check: Pass | None | |
| Chdb Datastorevemetric/vemetric | 394 | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Fastcrudbenavlabs/fastcrud | 1.6k | — | ~5k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Databricks Python SDK
What does Databricks Python SDK do?
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Databricks Python SDK is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.
When should I use Databricks Python SDK?
Databricks Python SDK fits situations like: working with databricks-sdk; databricks-connect; databricks APIs.
How do I install Databricks Python SDK in Claude Code?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-python-sdk -a claude-code`. Or copy the skill folder (skills/databricks-python-sdk in databricks/databricks-agent-skills) into .claude/skills/databricks-python-sdk in your project. Claude Code loads it when a task matches its description.
How do I install Databricks Python SDK in Codex?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-python-sdk -a codex`. Or copy the skill folder (skills/databricks-python-sdk in databricks/databricks-agent-skills) into .agents/skills/databricks-python-sdk in your project. Codex loads it when a task matches its description.
Can I use Databricks Python SDK 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-python-sdk -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-python-sdk, .gemini/skills/databricks-python-sdk, .github/skills/databricks-python-sdk and .opencode/skills/databricks-python-sdk in your project.
What does Databricks Python SDK need to run?
Going by SKILL.md and its folder, Databricks Python SDK needs Python for the scripts in its folder, the command-line tools its instructions call (databricks and uv) and credentials named DATABRICKS_TOKEN. Our summary lists: Python 3; A credential in DATABRICKS_TOKEN. Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0).
Does Databricks Python SDK access the network?
SKILL.md names 3 domains. In commands or code: databricks-sdk-py.readthedocs.io and adb-xxx.azuredatabricks.net; the agent is likely to contact these when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Is Databricks Python SDK 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 Python SDK use?
Databricks Python SDK 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 Python SDK use?
About 4.6k tokens (SKILL.md is roughly 18k 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 3.7k tokens, read only when the agent opens those files.
What are the alternatives to Databricks Python SDK?
Skills that share tags, products or a category with Databricks Python SDK: Databricks (rocky-data/rocky, 304 stars), DB (oracle/skills, 872 stars), Zhihu Search (itwanger/toBeBetterJavaer, 18k stars) and Chdb Datastore (vemetric/vemetric, 394 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databricks Python SDK?
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.