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Data Engineering

Real file from a public repo · synced Aug 22, 2026

building-data-pipelines

Build production batch data pipelines with Polars, DuckDB, and PyArrow. Covers ETL patterns, medallion architecture, partitioning, and CRUD operations. Use when designing or implementing data ingestion, transformation, and loading workflows in Python.

Works with

Claude CodeCursorCodex CLIGitHub CopilotGemini CLI

Install in three steps

  1. 1

    Download the ZIP

    One file per agent, plus INSTALL.md with the exact paths below.

  2. 2

    Claude Code: copy SKILL.md into your skills folder

    .claude/skills/building-data-pipelines/SKILL.md    # this project
    ~/.claude/skills/building-data-pipelines/SKILL.md   # every project
  3. 3

    Other agents: use the matching file

    skill.mdc goes in Cursor’s .cursor/rules/. AGENTS.md works as GitHub Copilot instructions, a legacy .cursorrules, or a Codex / Gemini CLI instructions file.

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