Data Engineering Pipeline

Data Engineering Pipeline is a data engineering Skill pack from Skill Me (GitHub organization SkillMedev); the license credits Alexander Ouellet. The README describes Skills as portable SKILL.md files, and the author says these eight were built in-house. They cover Kafka ingestion, Spark transforms, ClickHouse and MongoDB storage, data quality, time series, feature engineering and SQL query tuning. Following them, an AI can write or run SQL, index DDL and ETL jobs, using your own database permissions for anything in production.

Who it's for:Data engineers building pipelines and tuning SQL. Readers who don't write code won't get much from it.

Before you start: You can connect through skillme.dev's remote connector, or use npx @skillme/cli or npx skills add, or copy the Skill files into your agent's folder by hand; npx downloads and runs an installer. The README lists Claude, ChatGPT, Codex and Cursor. The docs don't say what data the remote connector sends or how it's stored. When an AI follows these Skills it reads your schemas, queries and business data, and it may change your database. If you use these features, weigh the safety risks yourself. AI Inspiration World is not responsible for any consequences. Whether the remote platform charges isn't stated. English. MIT license.

Based on the project's public documentation. Not tested by AI Inspiration World.