Dbt Databricks PR Ready
databricks/dbt-databricks
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.
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
Install Data Engineering Data Pipeline
$ npx skills add aiskillstore/marketplace --skill data-engineering-data-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-pipeline --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/data-engineering-data-pipeline .claude/skills/data-engineering-data-pipeline && 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 "data-engineering-data-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-pipeline into .claude/skills/data-engineering-data-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-pipeline", 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/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-pipelineType 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 aiskillstore/marketplace --skill data-engineering-data-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sickn33/data-engineering-data-pipeline .agents/skills/data-engineering-data-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-engineering-data-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-pipeline into .agents/skills/data-engineering-data-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-pipeline", 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 aiskillstore/marketplace --skill data-engineering-data-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sickn33/data-engineering-data-pipeline .cursor/skills/data-engineering-data-pipeline && 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 "data-engineering-data-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-pipeline into .cursor/skills/data-engineering-data-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-pipeline", 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/aiskillstore/marketplace.git --path skills/sickn33/data-engineering-data-pipeline--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 aiskillstore/marketplace --skill data-engineering-data-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sickn33/data-engineering-data-pipeline .gemini/skills/data-engineering-data-pipeline && 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 "data-engineering-data-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-pipeline into .gemini/skills/data-engineering-data-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-pipeline", 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 aiskillstore/marketplace data-engineering-data-pipelineInstalls 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 aiskillstore/marketplace --skill data-engineering-data-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sickn33/data-engineering-data-pipeline .github/skills/data-engineering-data-pipeline && 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 "data-engineering-data-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-pipeline into .github/skills/data-engineering-data-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-pipeline", 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 aiskillstore/marketplace --skill data-engineering-data-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace data-engineering-data-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sickn33/data-engineering-data-pipeline .opencode/skills/data-engineering-data-pipeline && 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 "data-engineering-data-pipeline" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/data-engineering-data-pipeline into .opencode/skills/data-engineering-data-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-engineering-data-pipeline", 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
data-engineering-data-pipeline- GitHub stars
- 430
- Used in
- 8 other repos
- Token cost
- ~1.8k tokens
- SKILL.md length
- 693 words
- Files
- 2
- Skills in repo
- 1,085
- Repo updated
- First seen
- Licence
- None found
At a glance
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
- Works in 12 steps: Architecture Design → Ingestion Implementation → Orchestration → …
- Tasks that involve Data pipelines and ETL
- SKILL.md covers Use this skill when, Do not use this skill when, Requirements and Core Capabilities, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Engineering Data Pipeline is an agent skill from aiskillstore/marketplace. You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).
It sits in Data & Analytics, covering Data pipelines and ETL. It works with dbt. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Tasks that involve Data pipelines and ETL
Example prompts
- “/data-engineering-data-pipeline”
Requirements
- Python 3
- Docker
Workflow steps
12 steps, taken from the step headings in SKILL.md.
- Architecture Design
- Ingestion Implementation
- Orchestration
- Transformation with dbt
- Data Quality Framework
- Storage Strategy
- Monitoring & Cost Optimization
- Architecture Documentation
- Implementation Code
- Configuration Files
- Monitoring & Observability
- Operations Guide
What it can do on your machine
Read from SKILL.md and the folder at commit 4ac52da. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
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.
Context cost
Data Engineering Data Pipeline loads about 1.8k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 693 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 693 words (~1,821 tokens).
“You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.”
- name
- data-engineering-data-pipeline
- risk
- unknown
- source
- community
- date_added
- 2026-02-27
Files
SKILL.md and 1 other file in skills/sickn33/data-engineering-data-pipeline of aiskillstore/marketplace.
- SKILL.md
- skill-report.json
Open the folder on GitHubat commit 4ac52da
Used in 8 other repositories
We found 18 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 8 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
- aAAaqwq/AGI-Super-Teamskills/data-engineering-data-pipeline
- sickn33/agentic-awesome-skillsskills/data-engineering-data-pipelineplugins/agentic-awesome-skills/skills/data-engineering-data-pipeline+1 more
- rmyndharis/antigravity-skillsskills/data-engineering-data-pipeline
- NeverSight/learn-skills.devdata/skills-md/aaaaqwq/agi-super-skills/data-engineering-data-pipelinedata/skills-md/aaaaqwq/claude-code-skills/data-engineering-data-pipeline
- agent-skills-hub/agent-skills-hubskills/data-engineering-data-pipeline
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/data-engineering-data-pipelineantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/data-engineering-data-pipeline+1 more
- benjaminasterA/antigravity-awesome-skillsskills/data-engineering-data-pipeline
- henryalouf/ruflow.agents/skills/data-engineering-data-pipeline.agents/skills/antigravity-awesome-skills/skills/data-engineering-data-pipeline+4 more
Compare with similar skills
Data Engineering Data Pipeline 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 |
|---|---|---|---|---|---|---|
| Data Engineering Data Pipeline this skillaiskillstore/marketplace | 430 | 8 repos | ~1.8k | Automated safety check: Pass | None | |
| Dbt Databricks PR Readydatabricks/dbt-databricks | 379 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Mz Dbt ReleaseMaterializeInc/materialize | 6.4k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Erd Studio Setupliam-machine/erd-studio | 165 | — | ~8.5k | Automated safety check: Pass | Custom licence | |
| PR Verifydocglow/docglow | 147 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Migrating Dagster To Airflowastronomer/agents | 450 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Data Engineering Data Pipeline
What does Data Engineering Data Pipeline do?
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing. Data Engineering Data Pipeline is an agent skill from aiskillstore/marketplace. You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
When should I use Data Engineering Data Pipeline?
Data Engineering Data Pipeline fits situations like: tasks that involve Data pipelines and ETL.
How do I install Data Engineering Data Pipeline in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill data-engineering-data-pipeline -a claude-code`. Or copy the skill folder (skills/sickn33/data-engineering-data-pipeline in aiskillstore/marketplace) into .claude/skills/data-engineering-data-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Data Engineering Data Pipeline in Codex?
Run `npx skills add aiskillstore/marketplace --skill data-engineering-data-pipeline -a codex`. Or copy the skill folder (skills/sickn33/data-engineering-data-pipeline in aiskillstore/marketplace) into .agents/skills/data-engineering-data-pipeline in your project. Codex loads it when a task matches its description.
Can I use Data Engineering Data Pipeline 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 aiskillstore/marketplace --skill data-engineering-data-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-engineering-data-pipeline, .gemini/skills/data-engineering-data-pipeline, .github/skills/data-engineering-data-pipeline and .opencode/skills/data-engineering-data-pipeline in your project.
What does Data Engineering Data Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Engineering Data Pipeline is instructions for the agent only. Our summary lists: Python 3; Docker.
Does Data Engineering Data Pipeline 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 Data Engineering Data Pipeline 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 Data Engineering Data Pipeline use?
No licence was found for Data Engineering Data Pipeline or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Data Engineering Data Pipeline use?
About 1.8k tokens (SKILL.md is roughly 7.3k 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 Data Engineering Data Pipeline?
Skills that share tags, products or a category with Data Engineering Data Pipeline: Dbt Databricks PR Ready (databricks/dbt-databricks, 379 stars), Mz Dbt Release (MaterializeInc/materialize, 6.4k stars), Erd Studio Setup (liam-machine/erd-studio, 165 stars) and PR Verify (docglow/docglow, 147 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Engineering Data Pipeline?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.