Agent Skills › AgriciDaniel/claude-ads › ads-math

ads-math

GitHub

用于付费媒体财务建模与计算，支持CPA、ROAS、LTV:CAC等指标分析，提供公式推导、多场景预测及决策建议。

skills/ads-math/SKILL.md AgriciDaniel/claude-ads

Trigger Scenarios

计算广告转化成本（CPA/CPL）评估广告投资回报率（ROAS/MER）进行盈亏平衡与预算预测分析

Install

npx skills add AgriciDaniel/claude-ads --skill ads-math -g -y

More Options

Use without installing

npx skills use AgriciDaniel/claude-ads@ads-math

指定 Agent (Claude Code)

npx skills add AgriciDaniel/claude-ads --skill ads-math -a claude-code -g -y

安装 repo 全部 skill

npx skills add AgriciDaniel/claude-ads --all -g -y

预览 repo 内 skill

npx skills add AgriciDaniel/claude-ads --list

SKILL.md

Frontmatter

{
    "name": "ads-math",
    "description": "Calculate and model paid-media CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics. Use for PPC math, ad calculator, break-even analysis, ROAS calculator, CPA calculator, budget forecast, LTV CAC, or MER."
}

Paid Media Financial Model

Identify the decision and collect units, currency, period, tax/refund treatment, margin, attribution basis, and uncertainty.
Show the formula and map every input to an operator value or cited artifact.
Validate denominators, sign, missing values, incompatible windows, and unit conversions.
Calculate base, downside, and upside cases where uncertainty affects the decision.
Keep platform-attributed revenue, blended business revenue, cash flow, and contribution margin distinct.
Return machine-readable inputs, formulas, outputs, sensitivities, and decision implications.

Never fabricate missing financial inputs, hide division-by-zero, or present a point forecast without its assumptions.