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startup-metrics-framework

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About startup-metrics-framework

S

startup-metrics-framework

Track, calculate, and optimize key performance metrics for SaaS, marketplace

startup-metrics-framework is an agent skill from the wshobson/agents collection for tracking, calculating and improving the key performance metrics of a startup from seed stage through Series A. It covers SaaS, marketplace, consumer and B2B business models, because the right metrics depend on how the business earns money. The skill begins with universal startup metrics and then the revenue metrics, such as monthly recurring revenue (MRR), calculated as the sum of active subscriptions times their monthly price, and annual recurring revenue (ARR). It also covers unit economics, which compare what a customer is worth with what it costs to acquire one, along with growth efficiency and cash management metrics that matter for fundraising and day-to-day operations. The guidance is to track the right metrics at the right stage rather than everything at once, so an early company focuses on the measures that show whether the model works. It applies when a founder or operator wants to set up measurement, calculate and explain these metrics, and decide which ones to optimize. The formulas are standard, but the inputs depend on how a company records its revenue and customers, so the definitions should be agreed within the team and applied the same way each period. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 11.0K installs and passing results from three security audits at the time of the scan.

Price
Free
Made by
wshobson
Category
AI Skills
Website
github.com/wshobson/agents/startup-metrics-framework