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afrexai-unit-economicsAfrexai 单位经济

Agent Skill

afrexai-unit-economics 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

20,839

周安装

843

GitHub Stars

公开资料未说明

下载量

6,542
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:afrexai-unit-economics(Afrexai 单位经济)
来源仓库:https://github.com/1kalin/afrexai-unit-economics
安装命令:
openclaw skills install afrexai-unit-economics
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install afrexai-unit-economics

简介

通过细分和场景分析来计算关键单位经济指标(如 CAC、LTV、投资回收期和边际贡献)并对其进行基准测试。

SKILL.md

Unit Economics Analyzer

Break down your business to the numbers that actually matter. This skill calculates and benchmarks your unit economics — CAC, LTV, payback period, contribution margin — so you know exactly which customers make you money and which ones burn it.

What It Does

When activated, the agent will:

  1. Calculate Core Metrics

- Customer Acquisition Cost (CAC) — fully loaded (ads + sales salaries + tools + overhead) - Lifetime Value (LTV) — using both simple and DCF methods - LTV:CAC Ratio — the single number investors care about most - CAC Payback Period — months to recover acquisition spend - Contribution Margin — per unit and per customer

  1. Benchmark Against Industry
MetricHealthy SaaSMarketplaceE-commerceServices
LTV:CAC3:1 – 5:12:1 – 4:11.5:1 – 3:14:1 – 8:1
CAC Payback12-18 mo6-12 mo1-3 mo3-6 mo
Gross Margin70-85%40-65%30-50%50-70%
Net Revenue Retention110-130%100-115%80-100%90-110%
  1. Segment Analysis

- Break unit economics by customer segment, channel, plan tier, geography - Identify which segments are profitable and which are subsidized - Flag "toxic" segments where CAC > LTV

  1. Cohort Decay Modeling

- Month-over-month retention curves by acquisition cohort - Revenue decay rate and true LTV (not the optimistic version) - Churn-adjusted LTV using: LTV = ARPU × Gross Margin / Monthly Churn Rate

  1. Scenario Planning

- What happens to payback if CAC increases 20%? - Impact of 5% churn reduction on LTV - Break-even analysis: minimum retention rate for profitability - Pricing sensitivity: how price changes flow through to unit economics

How to Use

Tell the agent:

  • "Analyze my unit economics" — walks through full calculation
  • "My CAC is $X and monthly churn is Y%" — gets specific benchmarks
  • "Compare my SaaS unit economics to benchmarks" — industry comparison
  • "Model what happens if we cut churn by 3%" — scenario analysis
  • "Break down unit economics by customer segment" — segmentation

Required Inputs

Provide what you have (the agent will estimate what's missing):

Revenue side:

  • Average Revenue Per User (ARPU) — monthly or annual
  • Gross margin percentage
  • Monthly or annual churn rate
  • Expansion revenue rate (upsells, cross-sells)

Cost side:

  • Total sales & marketing spend (monthly/quarterly)
  • New customers acquired in same period
  • Customer success/support costs per account
  • Onboarding costs per customer

Formulas Reference

CAC = Total Sales & Marketing Spend / New Customers Acquired

LTV (Simple) = ARPU × Gross Margin% / Monthly Churn Rate

LTV (DCF) = Σ (Monthly Revenue × Gross Margin%) / (1 + Discount Rate)^month

LTV:CAC Ratio = LTV / CAC  [Target: >3:1]

Payback Period = CAC / (ARPU × Gross Margin%)  [months]

Contribution Margin = (Revenue - Variable Costs) / Revenue

Magic Number = Net New ARR / Prior Quarter S&M Spend  [Target: >0.75]

Burn Multiple = Net Burn / Net New ARR  [Target: <2x]

Red Flags Dashboard

SignalThresholdAction
LTV:CAC below 1:1Losing money on every customerStop acquiring, fix retention or pricing
LTV:CAC below 3:1Unsustainable at scaleReduce CAC or increase retention
Payback > 24 monthsCash flow riskAccelerate monetization or cut acquisition
Gross margin < 50%Service business, not softwareRe-examine delivery costs
Net retention < 100%Revenue shrinking without new salesFix product-market fit
CAC trending up > 15% QoQChannel saturationDiversify acquisition channels
Magic Number < 0.5Inefficient growth spendPause scaling, optimize

Output Format

The agent produces:

  • Executive Summary — 3-line verdict on business health
  • Metrics Table — all calculated values with industry benchmarks
  • Segment Breakdown — if data provided, per-segment P&L
  • Scenario Matrix — sensitivity analysis on key variables
  • Action Items — prioritized list of improvements with expected impact

Get the Full Context

This skill gives you the framework. For industry-specific unit economics benchmarks, valuation context, and implementation playbooks:

AI Agent Context Packs — $47 per industry. SaaS, Fintech, Healthcare, E-commerce, and 6 more.

AI Revenue Leak Calculator — Free. Find where your business is losing money.

Agent Setup Wizard — Free. Configure your AI agent in 5 minutes.

Bundles:

  • Pick 3 Packs — $97 (save $44)
  • All 10 Packs — $197 (save $273)
  • Everything Bundle — $247 (all packs + playbook + setup)

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.44%
按下载量换算6,244

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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