dashboard

Generate observability dashboards for engineer, team, AI, DORA, and health modes.

54|3|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/arcasilesgroup/ai-engineering --skill dashboard-arcasilesgroup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dashboard
Source: https://github.com/arcasilesgroup/ai-engineering/tree/main/.agents/skills/dashboard
Command: npx skills add https://github.com/arcasilesgroup/ai-engineering --skill dashboard-arcasilesgroup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive observability dashboards to gain insights into various aspects of AI-assisted software delivery, including code quality, team performance, AI behavior, and overall system health.

Core Features & Use Cases

  • Multi-Mode Dashboards: Generates insights across five distinct modes: engineer, team, AI, DORA, and health.
  • Audience Tiers: Caters to different audiences by providing tailored metrics and analysis.
  • Actionable Recommendations: Identifies trends, anomalies, and suggests top improvement actions.
  • Use Case: A team lead can use the 'team' mode to understand framework adoption and skill usage, while an AI engineer can use the 'ai' mode to identify opportunities for self-optimization.

Quick Start

Generate an observability dashboard for the engineer mode.

Frequently Asked Questions about dashboard

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

FAQPage Schema
How do I generate observability dashboards for AI engineering metrics?

Observability dashboards for AI engineering are generated via CLI commands, analyzing code quality, delivery velocity, AI self-awareness, and system health to provide actionable recommendations and confidence indicators.

What DORA metrics are included in software delivery observability dashboards?

DORA dashboards analyze delivery velocity alongside code quality, AI behavior, and overall system health, providing tailored metrics for different audience tiers to identify trends and anomalies.

How do I monitor team performance and AI behavior in software engineering?

Monitoring team performance and AI behavior uses distinct dashboard modes: the team mode tracks framework adoption and skill usage, while the AI mode identifies opportunities for AI self-optimization.

Can I tailor engineering metrics dashboards for different audience tiers?

Engineering metrics dashboards cater to different audience tiers by providing tailored metrics and analysis across five distinct modes: engineer, team, AI, DORA, and health.

What are the limitations of using CLI commands for system health observability?

System health observability operates via CLI commands and adheres to strict rules for data collection and reporting, which may constrain automated integration into continuous deployment pipelines without external orchestration.