spark
Collaborative brainstorming that walks a raw idea to a committed spec, then stops. Guides context-gathering (one question per turn), multiple approaches with trade-offs, section-by-section approval, and a hard gate that blocks all coding until the user greenlights the design. Use when the user wants to think through a design before implementation or produce a spec document.
Works with
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data-pipeline
claude-office-skills/skills
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
ETL Pipeline
claude-office-skills/skills
Design and automate Extract, Transform, Load data pipelines for data integration and analytics
data-throughput-accelerator
affaan-m/ecc
Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness.
