A framework for assessing and building the five core capabilities required to scale consumer products. Use this when launching a new consumer initiative, diagnosing why a consumer product is stalling, or evaluating a team's readiness to compete in high-growth consumer markets.
Quickly install consumer-product-readiness-stack AI skill to your development environment via command line
Source: samarv/shanon.
The Consumer Stack is a diagnostic and strategic framework designed to ensure a team has the foundational "stack" of capabilities necessary to win in the fickle consumer market. Use this to move beyond general product management and focus on the specific rigors of consumer-facing growth.
The Pre-Check: Company-Product Fit Before applying the stack, ensure the product belongs in your organization. A company is a portfolio of unique strengths. Ask:
The Five Pillars of the Consumer Stack Evaluate your team or project against these five pillars. Use an A-D "report card" style to identify where the stack is broken.
A framework for assessing and building the five core capabilities required to scale consumer products. Use this when launching a new consumer initiative, diagnosing why a consumer product is stalling, or evaluating a team's readiness to compete in high-growth consumer markets. Source: samarv/shanon.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/samarv/shanon --skill consumer-product-readiness-stackA framework for assessing and building the five core capabilities required to scale consumer products. Use this when launching a new consumer initiative, diagnosing why a consumer product is stalling, or evaluating a team's readiness to compete in high-growth consumer markets. Source: samarv/shanon.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/samarv/shanon --skill consumer-product-readiness-stack Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/samarv/shanon