toolkit SKILL.md skillA
toolkit from datawithbaraa/claude-code-data-engineering-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add datawithbaraa/claude-code-data-engineering-skills/toolkit@git:20261029.2e2b6c2Pins git:20261029.2e2b6c2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- datawithbaraa/claude-code-data-engineering-skills
- Path
skills/toolkit/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261029.2e2b6c2, committed Oct 29, 2026
- Size
- 1,861 bytes
- Repository stars
- 81
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 …
Read the whole file at its exact version.
How to install
mdr add datawithbaraa/claude-code-data-engineering-skills/toolkit@sha256:1fc06d7da9b272f7The line at the top of this page pins the label git:20261029.2e2b6c2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_z5o2zcq2x56467av)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 29, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1861 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
datawithbaraa/claude-code-data-engineering-skills · 81 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_z5o2zcq2x56467av GET https://markdownregistry.com/api/v1/resolve?ref=datawithbaraa/claude-code-data-engineering-skills/toolkit GET https://markdownregistry.com/api/v1/blob/1fc06d7da9b272f70247e2772d224fc96a151f3d9a49c792844c62bf6a32d4e1
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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