Reverse-engineer pricing, packaging, and go-to-market signals into a BUSINESS-MODEL.md document.
npx skills add https://github.com/nmrtn/nanopm --skill pm-business-model-nmrtn
Please help me install this Agent Skill. Skill: pm-business-model Source: https://github.com/nmrtn/nanopm/tree/main/pm-business-model Command: npx skills add https://github.com/nmrtn/nanopm --skill pm-business-model-nmrtn
Helps teams articulate and align a company’s monetization approach by analyzing code signals, pricing data, and interviews, then generates a concrete BUSINESS-MODEL.md to guide strategy and execution.
Run this skill in a repository with pricing signals or pricing data to generate or refine BUSINESS-MODEL.md.
High-intent search queries and answers about installing and using this skill.
Reverse-engineer a business model by analyzing code signals, pricing pages, and prior artifacts to infer monetization type, revenue streams, GTM motion, and unit economics. This process drafts a structured BUSINESS-MODEL.md file capturing your strategy.
Yes, you can infer pricing and packaging strategy by extracting monetization signals from codebases and public pricing pages. This generates a structured business model document detailing revenue streams and go-to-market motion.
The best way to document a monetization approach is to generate a BUSINESS-MODEL.md file. This document captures model type, revenue streams, pricing, GTM motion, and unit economics, labeling each claim as evidenced or assumed.
Interview data is required to clearly label each business model claim as evidenced or assumed and flag validation gaps. Code signals and pricing page data alone are insufficient for a complete monetization articulation.
Refine an existing BUSINESS-MODEL.md by comparing new evidence against prior versions. This validates current pricing and packaging assumptions while updating the riskiest assumption and go-to-market motion documentation.
A limitation of inferring revenue streams from code signals is that claims without direct evidence must be labeled as assumed and flagged for validation. Monetization signals often require correlation with pricing page data to confirm accuracy.
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