Models LTV, CAC by channel, LTV:CAC ratios, payback period, and viability verdict using retention data, market_insights calibration, and indie budget tiers. See canonical definition in skills/cac-modeler/SKILL.md.
How to install cac-modeler?
maxkmet/idea-validation-agents/cac-modeler
$npx -y skills add maxkmet/idea-validation-agents --skill cac-modelerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/maxkmet/idea-validation-agents" --skill "maxkmet/idea-validation-agents/cac-modeler"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/maxkmet/idea-validation-agents" that are relevant to the current task. Run `npx skills add "https://github.com/maxkmet/idea-validation-agents"` and select the relevant skills, then follow their instructions.
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