Alternatives to startup-metrics-framework
50 AI Skills apps to use instead, best rated first.
Top picks
- W

webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
- C

content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O

openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B

batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I

implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F

frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
More AI Skills apps

brainstorming
Transform rough ideas into fully-formed designs through structured questioning

finishing-a-development-branch
Guides completion of development work by presenting clear options

test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About startup-metrics-framework

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
