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dashboard-specification

Standardize dashboard widget specifications with metric formulas, data grains, and chart types.

1|Updated Jun 20, 2026
Search Tags:#analytics#metrics#dashboard#data-visualization#read-model#chart-selection
One-click install
npx skills add https://github.com/shafibabar/SDLC-Artifact-Factory --skill dashboard-specification-shafibabar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dashboard-specification
Source: https://github.com/shafibabar/SDLC-Artifact-Factory/tree/main/skills/dashboard-specification
Command: npx skills add https://github.com/shafibabar/SDLC-Artifact-Factory --skill dashboard-specification-shafibabar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates ambiguity in dashboard design by enforcing a rigorous contract between data engineers and UX architects, ensuring every widget is actionable, reproducible, and correctly visualized.

Core Features & Use Cases

  • Metric Standardization: Defines reproducible formulas, grains, and source Read Models to prevent calculation drift.
  • Chart Selection Logic: Applies Knaflic’s principles to match the correct chart type to the specific metric question.
  • Use Case: Use this skill to specify a new operational dashboard for a compliance audit, ensuring all widgets are traced to requirements and follow Lean Analytics standards.

Quick Start

Use the dashboard-specification skill to generate a new widget specification for the compliance audit dashboard based on the provided analytics requirements.

Frequently Asked Questions about dashboard-specification

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

FAQPage Schema
How do I standardize dashboard metrics to prevent calculation drift across different widgets?▼

To standardize dashboard metrics, define reproducible formulas, data grains, and source Read Models. This ensures metric calculations remain consistent across all widgets, preventing calculation drift and maintaining data integrity.

What is the best way to select the correct chart type for a specific data visualization metric?▼

Selecting the correct chart type involves applying Knaflic’s visualization principles to match the chart format directly to the specific metric question being asked. This ensures the data visualization accurately represents the underlying analytics.

How do I specify an operational dashboard for a compliance audit?▼

To specify an operational dashboard for a compliance audit, generate a widget specification tracing all metrics to requirements. This process enforces Lean Analytics standards and pre-aggregated Read Model sourcing for reproducible results.

Do I need pre-aggregated Read Models to define data-driven dashboards?▼

Yes, pre-aggregated Read Models are required to maintain data integrity. Sourcing from Read Models ensures that dashboard widgets remain actionable and reproducible by providing a consistent, aggregated data foundation.

When should I not use Lean Analytics principles for dashboard specification?▼

You should avoid this dashboard specification approach if your analytics environment cannot support pre-aggregated Read Models or if your data phase lacks defined requirements to trace metrics against.

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