{"repo":"vaquarkhan/data-engineering-agent-skills","free":true,"listed":false,"github":"https://github.com/vaquarkhan/data-engineering-agent-skills","clone":"git clone https://github.com/vaquarkhan/data-engineering-agent-skills.git","description":"Production-grade Agent Skills for data engineering AI agents: 73 workflows, platform presets, safe backfill/replay, Kafka & Spark reliability, MCP observability, and VS Code/JetBrains installers.","language":"Python","stars":34,"topics":["agent-skills","ai-agents","apache-spark","claude","cursor","data-engineering","data-pipeline","data-quality","dbt","etl"],"license":"MIT","category":"data-pipelines","readme_excerpt":"Data Engineering Agent Skills -purple.svg) 🌐 Project Website 📦 VS Code Marketplace 🔌 JetBrains Marketplace ⬇️ GitHub Releases Production-grade data engineering skills for AI agents. The open skill registry and execution toolkit for data engineering agents. This repository packages repeatable workflows, quality gates, hooks, installer surfaces, and example packs (runnable scaffolds plus architecture blueprints) so agents can build data systems with the same discipline used by strong data engineering teams. The goal is not to give agents generic prompts. The goal is to give them operating procedures for defining, planning, implementing, validating, replaying, and shipping reliable data products. Agent Skills Registry Compatibility This repository is structured to work with open Agent Skills registries: - every capability lives in a directory containing a SKILL.md - every SKILL.md starts with YAML frontmatter including at least name and description - descriptions are written for progressive disclosure so agents can decide when to load the full skill - supporting materials can live in references/ , templates/ , examples/ , hooks/ , and scripts/ Real setup paths: Windows-friendly file install: If your agent or editor supports importing a GitHub-hosted skill registry directly, use that tool's documented repository-install command against this repository URL rather than the example syntax from another project. For Python-based proof assets and validators, install local dependenci","default_branch":null,"files":null,"tree":[],"storefront":"/r/vaquarkhan","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/vaquarkhan/data-engineering-agent-skills/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}