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cmd-data-data

Diagnose data pipelines, optimize queries, and outline data platform design.

2|Updated Jan 3, 2026
Search Tags:#etl#query-optimization#workflows#dag#data-pipelines#data-platform-design
One-click install
npx skills add https://github.com/jlaws/dotfiles --skill cmd-data-data
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cmd-data-data
Source: https://github.com/jlaws/dotfiles/tree/main/.agents/skills/cmd-data-data
Command: npx skills add https://github.com/jlaws/dotfiles --skill cmd-data-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides data engineering consultation to help teams diagnose and optimize data pipelines, query performance, and data platform design, reducing friction in building reliable data workloads.

Core Features & Use Cases

  • Stack discovery: detect and inventory data stack components across config files and environments.
  • Pipeline & DAG analysis: identify pipelines, workflows, ETL jobs, and potential bottlenecks.
  • Platform design guidance: outline scalable architectures and data modeling patterns for dashboards, lakes, and warehouses.
  • Performance optimization: propose query tuning, indexing strategies, and caching approaches.

Quick Start

Describe your current data stack and provide any config files to begin a diagnostic assessment.

Frequently Asked Questions about cmd-data-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize slow queries in my data pipelines?▼

To optimize slow queries in data pipelines, apply query tuning, indexing strategies, and caching approaches to improve database efficiency and reduce execution friction across your stack.

What is the best way to diagnose ETL pipeline bottlenecks?▼

Diagnosing ETL pipeline bottlenecks involves assessing stack configuration, inventorying data components, and identifying connections within DAGs or workflows to pinpoint performance issues.

How do I design a scalable data platform architecture?▼

Designing a scalable data platform requires outlining architecture patterns and data modeling strategies tailored for dashboards, data lakes, and warehouses to streamline workloads.

Can I use this to analyze data workflows across varied tech stacks?▼

Yes, you can analyze data workflows across varied stacks by providing configuration files to receive a diagnostic assessment of pipeline connections, DAGs, and potential bottlenecks.

What do I need to start a data pipeline diagnostic assessment?▼

To start a data pipeline diagnostic assessment, describe your current data stack and provide relevant configuration files so connections and workflows can be evaluated.

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