Can this skill generate code for my dashboard?

Yes, it includes implementation patterns for complex SQL queries and Python-based visualization code using libraries like Streamlit and Plotly.

How does this skill help with KPI selection?

It provides a structured SMART framework and pre-defined metric sets tailored for specific departments like Sales, Marketing, Product, and Finance.

What dashboard levels are supported?

It covers three distinct levels: Strategic (long-term executive goals), Tactical (departmental management), and Operational (day-to-day team performance).

Is it suitable for real-time monitoring?

Absolutely, the skill includes specialized patterns for operational centers and real-time system health displays with alert indicators.

KPI Dashboard Design

Name: KPI Dashboard Design
Author: EricGrill

byEricGrill

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Analytics & Monitoring

Architects data-driven business dashboards using strategic metric selection, visualization best practices, and implementation patterns.

About

This skill empowers Claude to design and implement comprehensive business intelligence displays by providing structured frameworks for KPI selection and visualization. It covers the entire reporting hierarchy from high-level executive summaries to granular operational monitors. Users can leverage pre-built SQL patterns for complex SaaS metrics like MRR and CAC, as well as Python-based implementation templates for interactive dashboards. Whether you are building a product analytics view or an executive performance tracker, this skill ensures your dashboards are actionable, SMART-compliant, and visually optimized.

Key Features

Streamlit and Plotly implementation templates for interactive reporting
2 GitHub stars
Departmental KPI frameworks for Sales, Marketing, Product, and Finance
SMART metric governance and dashboard hierarchy guidance
Pre-optimized SQL snippets for MRR, Cohort Retention, and CAC calculations
Visual layout patterns for Executive, SaaS, and Real-time Operations views

Use Cases

Designing real-time operational health monitors for infrastructure teams
Establishing standardized metric definitions and SQL reporting pipelines
Building an automated executive SaaS metrics dashboard with cohort analysis

About

Key Features

Streamlit and Plotly implementation templates for interactive reporting
2 GitHub stars
Departmental KPI frameworks for Sales, Marketing, Product, and Finance
SMART metric governance and dashboard hierarchy guidance
Pre-optimized SQL snippets for MRR, Cohort Retention, and CAC calculations
Visual layout patterns for Executive, SaaS, and Real-time Operations views

Use Cases

Designing real-time operational health monitors for infrastructure teams
Establishing standardized metric definitions and SQL reporting pipelines
Building an automated executive SaaS metrics dashboard with cohort analysis