Agent Skills
› MaxKmet/idea-validation-agents
› cac-modeler
cac-modeler
GitHub基于留存数据、市场洞察校准和独立游戏预算层级，建模分析各渠道的LTV、CAC、LTV:CAC比率及回本周期，并给出可行性判定。
Trigger Scenarios
需要分析用户生命周期价值(LTV)与获客成本(CAC)
评估不同营销渠道的投资回报率与回本周期
根据留存数据和预算进行产品商业可行性验证
Install
npx skills add MaxKmet/idea-validation-agents --skill cac-modeler -g -y
SKILL.md
Frontmatter
{
"name": "cac-modeler",
"description": "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."
}
See skills/cac-modeler/SKILL.md for full instructions and output schema.
Version History
- 3a4c800 Current 2026-07-24 12:18
