Open source alternatives to startup-metrics-framework
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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by shareAI-lab - A really interesting analysis of how coding agents like Claude
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