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Official agent skill

Onboard Team Area in Databricks CLI

by databricks in databricks/cli

Walks through reserving a directory for a team in the Databricks CLI repo and wiring GitHub CODEOWNERS so that team's approvals are required for its area.

OfficialCustom licenceAuto-check: notesDevelopment

Install Onboard Team Area in Databricks CLI

skills CLI
$ npx skills add databricks/cli --skill onboard-team-area -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install databricks/cli onboard-team-area --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/databricks/cli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/onboard-team-area .claude/skills/onboard-team-area && rm -rf skills-src

Use ~/.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/

Facts

Skill name
onboard-team-area
GitHub stars
404
Token cost
~851 tokens
SKILL.md length
376 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

Walks through reserving a directory for a team in the Databricks CLI repo and wiring GitHub CODEOWNERS so that team's approvals are required for its area.

  • Works in 4 steps: Identify the native GitHub team → Reserve the directories → Map the paths in .github/CODEOWNERS → …
  • Reserving a new directory for a team in the Databricks CLI repository
  • SKILL.md covers Inputs (ask if missing), Step 1 — Identify the native…, Step 2 — Reserve the directories and Step 3 — Map the paths in…, plus 2 more sections
  • Calls git

What it does

The skill explains how code ownership works in this repository: .github/CODEOWNERS uses GitHub's native code-owner reviews, the last matching rule wins, and the maintainer team @databricks/eng-deco-cli is included on every rule so maintainers can approve across all areas. Enforcement needs Require review from Code Owners enabled on the branch ruleset, since adding the file alone only requests reviews.

Given a GitHub team slug, an area name and whether the area is experimental or stable, the agent verifies the team has explicit write access, creates .gitkeep placeholders under experimental/<area> and acceptance/experimental/<area> to reserve the paths before code lands, and adds CODEOWNERS rules under an area comment that always repeat the maintainer team alongside the new one.

Before opening the PR it runs git diff --check and the repo's quick checks, confirms every new rule includes the maintainer team, and writes the PR using the repository's pull request template with Why, Changes and Tests sections. It also covers graduating an experimental area to stable.

When your agent uses it

  • Reserving a new directory for a team in the Databricks CLI repository
  • Adding a team to CODEOWNERS with the required maintainer team included
  • Graduating an experimental area to stable ownership

Example prompts

  • “Onboard the eng-ai-custom-training team into an experimental area called air.”
  • “Add CODEOWNERS rules so the eng-platform team owns the new webhooks directory.”
  • “Graduate the experimental networking area to stable ownership.”

Requirements

  • A GitHub team with write access to the repository
  • git
  • Pre-approved tools (allowed-tools): Read, Edit, Write, Bash, Glob, Grep, AskUserQuestion

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Identify the native GitHub team
  2. Reserve the directories
  3. Map the paths in .github/CODEOWNERS
  4. Validate and open the PR

What it can do on your machine

Read from SKILL.md and the folder at commit 80d4ffb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Edit
    • Write
    • Bash
    • Glob
    • Grep
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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.

Context cost

Onboard Team Area in Databricks CLI loads about 851 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 376 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~851

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Edit, Write, Bash, Glob, Grep, AskUserQuestion

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 376 words (~851 tokens).

“How ownership works here: .github/CODEOWNERS uses GitHub's native code-owner reviews. The last matching rule wins, and any owner on that line can approve. Include @databricks/eng-deco-cli on every rule so maintainers can approve changes across all areas. Team membership is maintained…”

— opening of SKILL.md by databricks, Custom licence
name
onboard-team-area
allowed-tools
Read, Edit, Write, Bash, Glob, Grep, AskUserQuestion
user-invocable
true

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/onboard-team-area of databricks/cli.

Open the folder on GitHubat commit 80d4ffb

Compare with similar skills

Onboard Team Area in Databricks CLI 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.

Onboard Team Area in Databricks CLI compared with similar skills
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Onboard Team Area in Databricks CLI this skilldatabricks/cli404—~851Automated safety check: NotesCustom licence
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Code Tourgithub/awesome-copilot40k1 repos~5.6kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
Contributor-First PR MergeHKUDS/OpenHarness16k1 repos~847Automated safety check: PassMIT

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Works with

Categories

Questions about Onboard Team Area in Databricks CLI

What does Onboard Team Area in Databricks CLI do?

Walks through reserving a directory for a team in the Databricks CLI repo and wiring GitHub CODEOWNERS so that team's approvals are required for its area. github/CODEOWNERS uses GitHub's native code-owner reviews, the last matching rule wins, and the maintainer team @databricks/eng-deco-cli is included on every rule so maintainers can approve across all areas. Enforcement needs Require review from Code Owners enabled on the branch ruleset, since adding the file alone only requests reviews.

When should I use Onboard Team Area in Databricks CLI?

Onboard Team Area in Databricks CLI fits situations like: reserving a new directory for a team in the Databricks CLI repository; adding a team to CODEOWNERS with the required maintainer team included; graduating an experimental area to stable ownership.

How do I install Onboard Team Area in Databricks CLI in Claude Code?

Run `npx skills add databricks/cli --skill onboard-team-area -a claude-code`. Or copy the skill folder (.agents/skills/onboard-team-area in databricks/cli) into .claude/skills/onboard-team-area in your project. Claude Code loads it when a task matches its description.

How do I install Onboard Team Area in Databricks CLI in Codex?

Run `npx skills add databricks/cli --skill onboard-team-area -a codex`. Or copy the skill folder (.agents/skills/onboard-team-area in databricks/cli) into .agents/skills/onboard-team-area in your project. Codex loads it when a task matches its description.

Can I use Onboard Team Area in Databricks CLI 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/cli --skill onboard-team-area -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboard-team-area, .gemini/skills/onboard-team-area, .github/skills/onboard-team-area and .opencode/skills/onboard-team-area in your project.

What does Onboard Team Area in Databricks CLI need to run?

Going by SKILL.md and its folder, Onboard Team Area in Databricks CLI needs the command-line tools its instructions call (git). Our summary lists: A GitHub team with write access to the repository; git. Its frontmatter pre-approves these tools: Read, Edit, Write, Bash, Glob, Grep, AskUserQuestion.

Does Onboard Team Area in Databricks CLI access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Onboard Team Area in Databricks CLI safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Onboard Team Area in Databricks CLI use?

Onboard Team Area in Databricks CLI 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 Onboard Team Area in Databricks CLI use?

About 851 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Onboard Team Area in Databricks CLI?

Skills that share tags, products or a category with Onboard Team Area in Databricks CLI: CodeScope Codebase Graph Analysis (QwenLM/qwen-code, 28k stars), Code Tour (github/awesome-copilot, 40k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Check PR (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Onboard Team Area in Databricks CLI?

databricks (a GitHub organization, an official publisher) maintains it in databricks/cli, which has 404 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.

Source: databricks/cli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.