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Toolkit

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DataWithBaraa
toolkit

Use to build or rebuild the documentation site of the project from the repo, the architecture, the data lineage, the call graph, the data model, the data quality, the runs and the data catalog.

Overview

PublisherDataWithBaraa
Repositoryclaude-code-data-engineering-skills
Skill nametoolkit
Stars
66
Forks
22
Bundled files
10
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by DataWithBaraa on GitHub. Read the source before you install it.

Installation

Install the Toolkit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/DataWithBaraa/claude-code-data-engineering-skills/tree/main/skills/toolkit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/DataWithBaraa/claude-code-data-engineering-skills.git /tmp/claude-code-data-engineering-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-data-engineering-skills/skills/toolkit .claude/skills/toolkit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Toolkit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Toolkit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Toolkit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Toolkit

The job: the engineering toolkit of the project as a website, built from the repo, one page per tool. Rebuilt after every release.

Input: none, it reads the whole repo.

Steps

  1. Write a site builder: one script that reads the repo and writes the pages, so the site can be built again after every release.
  2. Overview: the sources, the layers and the latest runs.
  3. Architecture: drawn from what runs, not by hand. The high-level picture first, the detail below it.
  4. Data lineage: every table, clickable, upstream and downstream.
  5. Call graph: who calls what in the code, clickable.
  6. Data model: the entities and their relationships, then the star schema with the keys.
  7. Data quality: the checks and their results, day by day.
  8. Runs: what ran, how long it took, and the result.
  9. Data catalog: every table and column, with a sample and a description. Personal data is masked in the samples.
  10. When the project is big, ask how many agents may run, give one agent per page, and let every agent check its page against the repo.
  11. Build the site and say where to open it.

Output

One folder of HTML files, like references/: index.html as the hub and one page per tool, nothing fetched from the network. Read them for the layout before you write the builder.

Reads

  • the metadata, the pipeline code, the run records, the check results, the knowledge

Writes

  • the site builder, and the pages it writes

Never

  • Never edits a page by hand: fix the input or the builder, and build again.
  • Never adds a library or a fetch from the network to a page.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Toolkit AI skill do?

Use to build or rebuild the documentation site of the project from the repo, the architecture, the data lineage, the call graph, the data model, the data quality, the runs and the data catalog.

Why use Toolkit on TypingMind?

Because you install it once and use it with any model. Toolkit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Toolkit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DataWithBaraa/claude-code-data-engineering-skills/tree/main/skills/toolkit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Toolkit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Toolkit?

As many as you like. As long as a model supports skills, you can use Toolkit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Toolkit AI skill free?

Yes. It is published on GitHub by DataWithBaraa under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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