semana-ai-data-engineer
Multi-agent e-commerce data pipelines with SQL and vector search
All Skills in This Repository (12)
Pure Emerald Level Indicatorsui-ux-pro-max
Generate design recommendations for styles, color schemes, typography, and interaction in web and mobile applications.
ckm:design
Generate logos, corporate identity programs, presentations, and social media graphics with AI.
animate
Analyze and implement CSS and JavaScript animations for user interfaces.
ckm:banner-design
Automates multi-format AI-designed banner creation for social platforms and print materials.
impeccable
Generate production-grade frontend interfaces with distinctive aesthetic quality and creative code.
layout
Analyze and correct spacing, hierarchy, and rhythm in user interface layouts.
ckm:ui-styling
Build accessible React UIs with shadcn/ui components and Tailwind CSS.
ckm:brand
Manage brand voice, visual identity, and asset compliance with markdown guidelines.
ckm:slides
Generates strategic HTML presentations with Chart.js embedded data visualizations and optimized copywriting content.
harden
Identify and address UI/UX issues in error handling, empty states, i18n, and text overflow.
ckm:design-system
Generate brand-compliant presentation slides using design tokens and Chart.js.
overdrive
Generates WebGL and CSS animations for interactive web designs.
Frequently Asked Questions
FAQPage SchemaHow to install semana-ai-data-engineer?βΌ
Run `npx skills add owshq-mec/semana-ai-data-engineer --all -g -y` in your terminal to install all skills in this suite globally.
What does the ShopAgent project build?βΌ
It builds a multi-agent e-commerce system where an analyst agent queries Postgres for exact metrics, a researcher agent searches Qdrant for review sentiment, and a reporter agent writes executive summaries.
How does it combine SQL and vector search?βΌ
Postgres acts as the ledger for exact data like revenue and orders, while Qdrant acts as the memory for semantic search over customer reviews, with agents routing questions to the right store.
Do I need Docker to run this project?βΌ
Yes. Days 1-3 run fully local with Docker Compose, which starts Postgres, Qdrant, and the ShadowTraffic data generator; Day 4 migrates the same setup to the cloud.
Is this suitable for learning AI data engineering?βΌ
Yes. It is a structured four-day curriculum with sequenced prompts, slide decks, and knowledge bases covering ingestion, RAG, agents, and multi-agent evaluation.
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