Data Engineering
Real file from a public repo · synced Aug 22, 2026
spark
Proposing new features leveraging existing data/logic as Markdown specifications. Use when brainstorming new features, product planning, or feature proposals are needed. Does not write code.
Works with
Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
Install in three steps
- 1
Download the ZIP
One file per agent, plus INSTALL.md with the exact paths below.
- 2
Claude Code: copy SKILL.md into your skills folder
.claude/skills/spark/SKILL.md # this project ~/.claude/skills/spark/SKILL.md # every project
- 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.
More Data Engineering skills
All Data Engineering skills
data-pipelineclaude-office-skills/skillsData pipeline and ETL automation - extract, transform, load workflows for data integration and analyticsData Engineering4.1kETL Pipelineclaude-office-skills/skillsDesign and automate Extract, Transform, Load data pipelines for data integration and analyticsData Engineering4.0k
data-throughput-acceleratoraffaan-m/eccUse when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness.Data Engineering3.8k
