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dx-data-navigator

Query the DX Data Cloud PostgreSQL database to analyze developer productivity and engineering metrics.

273|45|Updated Jan 16, 2026
Search Tags:#developer productivity#team performance#sql query#ai adoption#dora metrics#dx data#engineering analytics
One-click install
npx skills add https://github.com/pskoett/pskoett-ai-skills --skill dx-data-navigator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dx-data-navigator
Source: https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/dx-data-navigator
Command: npx skills add https://github.com/pskoett/pskoett-ai-skills --skill dx-data-navigator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides direct access to query the DX Data Cloud PostgreSQL database, enabling analysis of developer productivity, team performance, and engineering metrics.

Core Features & Use Cases

  • Query Engineering Analytics: Access DORA metrics, PR/deployment data, AI tool adoption, and more.
  • Analyze Team Performance: Understand team comparisons, cycle times, and code quality.
  • Use Case: Ask "What is the average cycle time for PRs in the 'backend' team over the last quarter?" or "Show me the Copilot adoption rate by team."

Quick Start

Use the dx-data-navigator skill to find the average cycle time for PRs in the backend team over the last quarter.

Frequently Asked Questions about dx-data-navigator

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

FAQPage Schema
How do I query DORA metrics from a PostgreSQL database for engineering analytics?▼

To query DORA metrics for engineering analytics, you can query the DX Data Cloud PostgreSQL database directly to access deployment frequency, PR data, and team performance metrics. This allows you to calculate cycle times and track developer productivity trends.

What is the best way to analyze AI coding assistant adoption rate by team?▼

Analyzing AI tool adoption by team is done by querying developer productivity data in the DX Data Cloud. You can retrieve metrics specifically tracking Copilot adoption rates and AI coding assistant usage patterns segmented by different engineering teams.

Can I compare cycle times and code quality across different engineering teams?▼

Yes, you can compare cycle times and code quality across engineering teams by querying the DX Data Cloud. The database supports team comparisons, allowing you to evaluate sprint velocity, PR cycle times, and code review metrics side-by-side.

How do I retrieve developer sentiment and DX scores from the data cloud?▼

You retrieve developer sentiment and DX scores by executing SQL queries against the DX Data Cloud PostgreSQL database. This provides access to engineering KPIs and developer feedback metrics to measure overall team satisfaction and productivity.

Does this data navigator support querying incident data and deployment frequency together?▼

Yes, the data navigator supports querying incident data alongside deployment frequency. You can analyze DORA metrics by correlating incident response times with deployment frequency to assess engineering stability and team performance.

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