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SkillHub ClubAnalyze Data & AIData / AI

data-analytics-engineering

This skill provides a structured framework for analytics engineering, focusing on building transformation layers, defining metrics, and ensuring data quality. It offers concrete workflows, templates for documentation, and clear guidance on dimensional modeling. It connects well with related data platform and SQL optimization skills.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
42
Hot score
90
Updated
March 20, 2026
Overall rating
A7.8
Composite score
6.2
Best-practice grade
B75.6

Install command

npx @skill-hub/cli install vasilyu1983-ai-agents-public-data-analytics-engineering
data-modelingsql-transformationdata-qualitybi-analyticsdbt

Repository

vasilyu1983/AI-Agents-public

Skill path: frameworks/shared-skills/skills/data-analytics-engineering

This skill provides a structured framework for analytics engineering, focusing on building transformation layers, defining metrics, and ensuring data quality. It offers concrete workflows, templates for documentation, and clear guidance on dimensional modeling. It connects well with related data platform and SQL optimization skills.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Data / AI.

Target audience: Data teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: vasilyu1983.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install data-analytics-engineering into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/vasilyu1983/AI-Agents-public before adding data-analytics-engineering to shared team environments
  • Use data-analytics-engineering for data workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

data-analytics-engineering | SkillHub