Claude Code Data Engineering Skills plugin

16 Claude Code skills for data engineers: source profiling, failure investigation, change review and documentation as web pages.

  • 98 ★ on the repository
  • Last commit
  • MIT
Plugin

Extended access

Why this level

  • The skills read data, query logs and the repository and write result files into the project.
All reasons and checks

datawithbaraa/claude-code-data-engineering-skills

Install

Works in

In your terminal, with SkillFoxx CLI

npx skillfoxx add plugins/claude-code-data-engineering-skills

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Extended accessThe tool runs code or makes network calls and only reads external data.

  • The skills read data, query logs and the repository and write result files into the project.

This is third-party code. Review the repository files before installing.

What it does

The pack of 16 skills covers the data engineer work beyond writing code. For a new source there are `profile`, `contract` in the Open Data Contract Standard and `metadata`. When something breaks, `incident` (from error to root cause, fix options and email drafts), `quality` and `reconcile` help. Before a change come `impact`, `test-data` and `pr-review`, and for the big picture `toolkit`, `big-review` and `cost-review`. The rest prepare material for data consumers and project growth: `data-product`, `docs`, `knowledge-refresh` and `migration` with migration waves. Most skills end in a web page you can read and share. Seven of them are shown in a video on the Data With Baraa channel.

Who it is for. Data engineers on Claude Code who need to investigate a failure fast, assess the impact of a change or document tables.

Good fit when

  • A nightly pipeline run failed and you need a root-cause investigation with fix options.
  • A new data source arrived and you need its profile and contract before starting work.
  • Before changing a column you need to know what depends on it.
  • Two figures should agree but diverge and you need the point of divergence.

Not a fit when

  • You need a tool tied to a specific stack such as dbt, while this pack is general.
  • You have no Claude subscription or Console account.
  • The fictional company example pages would be mistaken for a real report.

Example request

Investigate the failed run of 2026-08-19: find the root cause, outline fix options and draft emails to stakeholders.

Limitations

You need Claude Code with a Pro, Max, Team or Enterprise plan or a Claude Console account. The author calls the pack a first draft and promises expansions. Read each skill before use, because each states what it reads, what it writes and what it never does. There is no plugin auto-update, so get new versions through `/plugin` or by copying again. The example pages describe a fictional company with fictional data.

How to disable. Run `/plugin uninstall data-engineering@data-with-baraa` or delete the copied folders from the project `.claude/skills`. Pages already created stay on disk.

FAQ

How do I install the skills without the plugin?

Clone the repository and copy the folders from `skills/` into the `.claude/skills` of your project.

How do I call a skill after installing?

Type the skill and its input: `/profile data/landing/purchasing` or `/incident 2026-08-19`. From the plugin the command is `/data-engineering:profile`.

What does the incident skill do?

It takes a failed run from the error to the root cause and delivers fix options, email drafts and a log entry.

Which seven skills are in the video?

profile, metadata, incident, toolkit, data-product, pr-review and big-review. In the video incident is called `/incidents`.

What do I get as output?

Most skills write a readable page: a source profile, a failure root cause, a quality verdict, an impact graph or a project architecture.

Discussion

No questions or reviews yet.

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README in short

The skills are grouped by situation: new data, breakage, before a change, the big picture, data consumers and project growth. The author builds them around output pages you can show a team.

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