This bridges the gap between business strategy and technical architecture by treating your codebase as a direct expression of your business model. You'd reach for it when starting greenfield projects, making build vs. buy decisions, or when scaling issues start bumping into business model constraints. The approach is especially relevant during that tricky MVP-to-sustainable-growth transition where architectural choices start having real revenue implications. It's more of a thinking framework than a code generator, so expect it to guide decision-making rather than write features. The 28 GitHub stars suggest it's still niche, but the core insight that architecture and business model are inseparable is sound.
npx skills add https://github.com/daffy0208/ai-dev-standards --skill bmad-method