data-analytics-engineering SKILL.md skillA
data-analytics-engineering from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/data-analytics-engineering@v1.2Pins v1.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/data-analytics-engineering/SKILL.md- Versions recorded
- 1
- Latest version
- v1.2, committed Oct 5, 2026
- Size
- 20,093 bytes
- Repository stars
- 101
- License
- MIT
Builds analytics engineering layers for metrics, contracts, and BI-ready models. Use when shaping dbt or SQLMesh marts, metric governance, lineage, or data quality.
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
# Data Analytics Engineering Code-defined marts, metrics as APIs, contracts on critical interfaces, semantic layers only where they improve reuse or AI/BI consumption, and metadata systems that expose owners, lineage, quality, and governance to both humans and agents. Primary sources: `data/sources.json`. Refresh time-sensitive claims against official docs before giving definitive recommendations. ## When to Use - Choose or improve an analytics engineering stack (`dbt`, `SQLMesh`, `Coalesce`) - Define marts, grains, dimensions, facts, wide tables, or activity schemas - Design or migrate a semantic layer (`dbt Semantic Layer`, `Lightdash`, `Cube`, warehouse-native) - Add data contracts, metric governance, ownership, catalogs, and lineage - Build data quality checks, freshness monitoring, anomaly detection, and release gates - Prepare BI-ready models for dashboards, notebooks, APIs, or AI/NLQ analytics ## When NOT to Use - Lakehouse or ingestion architecture -> [data-lake-platform](../data-lake-platform/SKILL.md) - Product/event instrumentation, attribution, or identity resolution -> `marketing-product-analytics` …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/data-analytics-engineering@sha256:ac76cac159523074The line at the top of this page pins the label v1.2, 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_t4u2xps4vkeb6la5)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 5, 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 (20093 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
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_t4u2xps4vkeb6la5 GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/data-analytics-engineering GET https://markdownregistry.com/api/v1/blob/ac76cac159523074d8c98814edced7507c59ab50e4cd579847b6ede8eee84f9d
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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