Databricks Jobs
Kilo-Org/kilo-marketplace
Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI.
A skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch.
$ npx skills add databricks/dbt-databricks --skill dbt-databricks-pr-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/dbt-databricks dbt-databricks-pr-ready --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/dbt-databricks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/dbt-databricks-pr-ready .claude/skills/dbt-databricks-pr-ready && 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 "dbt-databricks-pr-ready" agent skill from https://github.com/databricks/dbt-databricks/tree/main/.agents/skills/dbt-databricks-pr-ready into .claude/skills/dbt-databricks-pr-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-databricks-pr-ready", 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/dbt-databricks/tree/main/.agents/skills/dbt-databricks-pr-readyType 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/dbt-databricks --skill dbt-databricks-pr-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/dbt-databricks dbt-databricks-pr-ready --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/dbt-databricks.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/dbt-databricks-pr-ready .agents/skills/dbt-databricks-pr-ready && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dbt-databricks-pr-ready" agent skill from https://github.com/databricks/dbt-databricks/tree/main/.agents/skills/dbt-databricks-pr-ready into .agents/skills/dbt-databricks-pr-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-databricks-pr-ready", 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/dbt-databricks --skill dbt-databricks-pr-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/dbt-databricks dbt-databricks-pr-ready --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/dbt-databricks.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/dbt-databricks-pr-ready .cursor/skills/dbt-databricks-pr-ready && 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 "dbt-databricks-pr-ready" agent skill from https://github.com/databricks/dbt-databricks/tree/main/.agents/skills/dbt-databricks-pr-ready into .cursor/skills/dbt-databricks-pr-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-databricks-pr-ready", 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/dbt-databricks.git --path .agents/skills/dbt-databricks-pr-ready--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/dbt-databricks --skill dbt-databricks-pr-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/dbt-databricks dbt-databricks-pr-ready --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/dbt-databricks.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/dbt-databricks-pr-ready .gemini/skills/dbt-databricks-pr-ready && 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 "dbt-databricks-pr-ready" agent skill from https://github.com/databricks/dbt-databricks/tree/main/.agents/skills/dbt-databricks-pr-ready into .gemini/skills/dbt-databricks-pr-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-databricks-pr-ready", 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/dbt-databricks dbt-databricks-pr-readyInstalls 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/dbt-databricks --skill dbt-databricks-pr-ready -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databricks/dbt-databricks.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/dbt-databricks-pr-ready .github/skills/dbt-databricks-pr-ready && 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 "dbt-databricks-pr-ready" agent skill from https://github.com/databricks/dbt-databricks/tree/main/.agents/skills/dbt-databricks-pr-ready into .github/skills/dbt-databricks-pr-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-databricks-pr-ready", 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/dbt-databricks --skill dbt-databricks-pr-ready -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/dbt-databricks dbt-databricks-pr-ready --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/dbt-databricks.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/dbt-databricks-pr-ready .opencode/skills/dbt-databricks-pr-ready && 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 "dbt-databricks-pr-ready" agent skill from https://github.com/databricks/dbt-databricks/tree/main/.agents/skills/dbt-databricks-pr-ready into .opencode/skills/dbt-databricks-pr-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-databricks-pr-ready", 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.
dbt-databricks-pr-readyA skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch.
Dbt Databricks PR Ready is an agent skill from databricks/dbt-databricks, published by the product's own GitHub organization. Use for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch. Accepts a PR link or number and optional --auto.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `eval-spec.md` and `references/rubric.md`).
It sits in Data & Analytics, covering Data pipelines and ETL. It works with Databricks, dbt, Git and SQL. The repository describes itself as: A dbt adapter for Databricks. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 39f6a59. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitghFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dbt Databricks PR Ready loads about 2.8k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 1,561 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.
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.
The full file from databricks/dbt-databricks at commit 39f6a59, republished under its Apache-2.0 licence (© databricks). 1,561 words, ~2,826 tokens.
.claude/skills/dbt-databricks-pr-ready/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Input is a URL or bare number for databricks/dbt-databricks, plus optional
--auto. If no PR is supplied, run gh pr view without --repo from the
current branch and use the result only when it resolves exactly one PR in
databricks/dbt-databricks; otherwise ask for the URL or number. For an
explicit URL or number, use gh pr view <input> --repo databricks/dbt-databricks.
--auto selects recommended gaps only. It never authorizes a commit or push.
The deliverable is an assessment report and, only when the caller can write the PR head branch and approves each gate, verified commits on that branch.
--auto does not bypass either approval..agents/pr-ready/ directory.eval-spec.md
is a checked-in behavioral contract, not run output.Set ACTIVE_ROOT to git rev-parse --show-toplevel, COMMON_GIT_DIR to
git -C "$ACTIVE_ROOT" rev-parse --git-common-dir resolved against
ACTIVE_ROOT when the result is relative, PRIMARY_ROOT to the parent of
COMMON_GIT_DIR, and REPO to databricks/dbt-databricks. Require a
non-bare repository whose common Git directory is PRIMARY_ROOT/.git, and
require at least one configured remote whose normalized GitHub slug is
exactly REPO; otherwise stop before any mutation.
Set REPORT to $PRIMARY_ROOT/.agents/pr-ready/pr-<N>/report.md. Do not
use PRIMARY_ROOT as the repair worktree.
Confirm gh auth status, capture ME with gh api user -q .login, and
fetch PR metadata including its state, draft status, author, base branch,
head branch, head SHA, head repository, head repository owner,
isCrossRepository, maintainerCanModify, mergeable,
statusCheckRollup, closingIssuesReferences, and files.
Re-query an initially UNKNOWN mergeability result before treating it as a
verdict. Stop for a closed or merged PR, a missing head repository, or a
missing head ref. Draft PRs are valid inputs.
Record SOURCE_SHA=headRefOid. Derive HEAD_SLUG from
headRepositoryOwner.login and headRepository.name; do not use
headRepository.nameWithOwner. Prefer an existing Git remote whose URL
normalizes to that exact slug. Otherwise use
https://github.com/<HEAD_SLUG>.git directly without adding a persistent
remote or guessing from the branch name.
Classify branch write access before proposing repairs:
| PR head | Write mode |
|---|---|
Head repository owner is ME | owner — the contributor may update their own fork branch. |
PR is in REPO and the caller has ADMIN, MAINTAIN, or WRITE viewer permission | repository — update the in-repository head branch. |
Fork PR, maintainerCanModify is true, and the caller has upstream ADMIN, MAINTAIN, or WRITE permission | maintainer — update that contributor's fork head branch. |
| Any other case | read-only — assess only; do not edit, commit, or push. |
Obtain upstream viewer permission with gh repo view "$REPO" --json viewerPermission. The PR author is never a hard stop. maintainerCanModify
controls only the third row; it is not required for an in-repository PR or
for the contributor's own fork.
For owner, repository, or maintainer mode, fetch the exact source ref
into refs/pr-ready/<N>/head and verify it equals SOURCE_SHA. Do not use
gh pr checkout: it does not provide a stable, unambiguous push target for
this workflow.
ACTIVE_ROOT differs from PRIMARY_ROOT, set WT to ACTIVE_ROOT.
Require it to use COMMON_GIT_DIR and to have an empty
git status --porcelain (do not pass --ignored). If HEAD equals the
fetched source ref, keep it. If HEAD differs and the current commit is
detached and not reachable from any local branch or remote-tracking ref,
do not check out into that worktree; create a different detached worktree
at the fetched ref using the host's usual worktree location and set WT
to that path. Otherwise check out the exact fetched ref detached.ACTIVE_ROOT equals PRIMARY_ROOT, create a detached worktree at the
fetched ref using the host's usual worktree location and set WT to that
path. When creating a worktree, if the chosen path already exists and
diverges, pick another path or stop; never discard its work.read-only mode, do not create, check out, edit, or configure WT.
Gather assessment evidence from PR metadata, the PR diff, public check
output, and other non-mutating reads instead.
After WT is final in a writable mode, require
git -C "$WT" rev-parse --show-toplevel to equal WT and to differ from
PRIMARY_ROOT, then verify HEAD equals SOURCE_SHA before edits. Run
every later edit, test, and git command with WT as the working directory.
If the host can retarget the visible workspace root, do that immediately;
if it cannot, keep using explicit paths under WT and do not edit
PRIMARY_ROOT.In a writable mode only, install pre-commit hooks in WT when
core.hooksPath is unset. When it is set, record that hooks are configured
externally. Never install or run pre-commit hooks in read-only mode; hooks
may mutate files. The explicit all-files pre-commit run in Phase 5 remains
mandatory for writable runs.
Create the report skeleton at REPORT, noting PR URL, SOURCE_SHA, write
mode, resolved head slug, and worktree path.
Read references/rubric.md and evaluate every item against the PR metadata and
diff. The report must contain one met, gap, or n-a row per item;
each gap needs evidence, a one-line fix, rough effort, and its recommended or
optional status. If there are no gaps, mark the PR merge-ready as-is and stop.
--auto: select every recommended gap and record optional gaps as
skipped-by-policy.Selection authorizes edits and verification only. It does not authorize a
commit or push. In read-only mode, report the selected fixes but do not start
an edit; explain that the PR head is not writable by the current caller,
finalize the assessment and selection report, and stop immediately. Do not
enter Phase 4 or Phase 5, edit a worktree, or invoke a mutating hook.
Work selected items in this order: code and test changes, lint, then changelog.
For every item, follow the rubric's fix recipe and read the resulting test
output. Review the run's additions for unnecessary complexity, show the exact
diff and test evidence, and obtain explicit commit approval. After approval and
immediately before the commit, re-check that the PR head still equals
SOURCE_SHA. Commit only that verified item and never add attribution footers.
After three unsuccessful repair attempts or an unavailable required service, mark the item blocked. If the run created a partial diff, preserve it with untracked files in a clearly named stash, for example:
git stash push --include-untracked \
-m "pr-ready #<N>: blocked <rubric-item> partial repair"Record the stash reference and name in the report, then require
git status --porcelain to be empty. If the stash cannot be created or the
worktree cannot be made clean without discarding work, stop the entire run.
Only after successful preservation and cleanup may independent selected items
continue. Apply the same preservation rule before any hard stop that leaves
run-created changes, including a moved-head stop; never apply a blocked-item
stash during final verification.
Require git status --porcelain to be empty, record
VERIFIED_SHA=$(git rev-parse HEAD), and confirm the index and worktree have
no diff from HEAD. From WT, run
hatch run pre-commit run --all-files; it must pass without changing the
worktree. If it creates a diff, final verification fails; handle that diff
as a separately approved repair or preserve it and stop.
Re-run every test touched by the selected repairs and read the output.
Require HEAD still to equal VERIFIED_SHA and the worktree still to be
clean afterward. This verification covers committed HEAD only; results
from a leftover partial diff do not count.
Finalize REPORT with the assessment table, selection method, write mode,
per-item outcome and evidence, blocked items, and pre-existing noise.
If no local commits were created, stop after the report.
Before pushing, show the exact destination and ask for explicit approval. After approval and immediately before the push:
CURRENT_ME=$(gh api user -q .login) and require it to equal the
captured ME.isCrossRepository, and maintainerCanModify, plus the upstream
viewerPermission.SOURCE_SHA, local HEAD to
equal VERIFIED_SHA, and the worktree to remain clean.If any check fails, do not push. Otherwise push only to the resolved head repository and branch with the exact-SHA lease:
git push --force-with-lease="refs/heads/<headRefName>:<SOURCE_SHA>" \
<resolved-head-remote-or-url> HEAD:refs/heads/<headRefName>If the lease or permission check fails, do not retry with a broader force
option; leave commits local and report the failure. After a successful push,
verify that the PR head equals local HEAD and record that SHA in REPORT.
© databricks, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in .agents/skills/dbt-databricks-pr-ready of databricks/dbt-databricks.
Open the folder on GitHubat commit 39f6a59
Dbt Databricks PR Ready 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 |
|---|---|---|---|---|---|---|
| Dbt Databricks PR Ready this skilldatabricks/dbt-databricks | 379 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Databricks JobsKilo-Org/kilo-marketplace | 189 | 1 repos | ~3.1k | Automated safety check: Pass | Custom licence | |
| Migrating Dbt Project Across PlatformsKilo-Org/kilo-marketplace | 189 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Senior Data Engineerbenchflow-ai/skillsbench | 1.8k | — | ~5.9k | Automated safety check: Pass | MIT | |
| dbt Model BuilderAltimateAI/data-engineering-skills | 127 | — | ~890 | Automated safety check: Pass | MIT | |
| dbt Error DebuggingAltimateAI/data-engineering-skills | 127 | — | ~1.1k | Automated safety check: Pass | MIT |
Kilo-Org/kilo-marketplace
Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI.
Kilo-Org/kilo-marketplace
A skill your agent uses when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time…
benchflow-ai/skillsbench
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure.
AltimateAI/data-engineering-skills
Creates or modifies dbt models in line with a project's own conventions, then runs dbt build and dbt show to check the output instead of stopping at compile.
AltimateAI/data-engineering-skills
Walks through fixing dbt compilation, database and test errors: read the full error, check upstream models, apply a fix, then verify with dbt build and a data preview.
borghei/Claude-Skills
Analytics engineering across data modeling, dbt, transformation, and semantic layers.
Works with
Categories
A skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch. Dbt Databricks PR Ready is an agent skill from databricks/dbt-databricks, published by the product's own GitHub organization. Use for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch.
Dbt Databricks PR Ready fits situations like: an open dbt-databricks pull request; including your own PR; assess merge readiness and optionally repair selected gaps on the PR head branch.
Run `npx skills add databricks/dbt-databricks --skill dbt-databricks-pr-ready -a claude-code`. Or copy the skill folder (.agents/skills/dbt-databricks-pr-ready in databricks/dbt-databricks) into .claude/skills/dbt-databricks-pr-ready in your project. Claude Code loads it when a task matches its description.
Run `npx skills add databricks/dbt-databricks --skill dbt-databricks-pr-ready -a codex`. Or copy the skill folder (.agents/skills/dbt-databricks-pr-ready in databricks/dbt-databricks) into .agents/skills/dbt-databricks-pr-ready in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add databricks/dbt-databricks --skill dbt-databricks-pr-ready -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dbt-databricks-pr-ready, .gemini/skills/dbt-databricks-pr-ready, .github/skills/dbt-databricks-pr-ready and .opencode/skills/dbt-databricks-pr-ready in your project.
Going by SKILL.md and its folder, Dbt Databricks PR Ready needs the command-line tools its instructions call (git and gh).
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Dbt Databricks PR Ready is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k 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 962 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Dbt Databricks PR Ready: Databricks Jobs (Kilo-Org/kilo-marketplace, 189 stars), Migrating Dbt Project Across Platforms (Kilo-Org/kilo-marketplace, 189 stars), Senior Data Engineer (benchflow-ai/skillsbench, 1.8k stars) and dbt Model Builder (AltimateAI/data-engineering-skills, 127 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
databricks (a GitHub organization, an official publisher) maintains it in databricks/dbt-databricks, which has 379 GitHub stars. The repository was last updated on October 7, 2026.
Source: databricks/dbt-databricks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.