A product metrics dashboard helps you see how your product is doing. It brings together key metrics like user engagement, revenue, and health indicators. You can track what matters most and spot problems early.
This guide shows you how to choose the right metrics. It explains the difference between leading and lagging indicators. You will learn to set up alerts and design a clear dashboard layout. Anyone building a product or running a business can use it.
Global
mkdir -p ~/.claude/skills/metrics-dashboardProject
mkdir -p .claude/skills/metrics-dashboardSource Repository
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning