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afrexai-market-sizingAfrexai 市场规模

Agent Skill

afrexai-market-sizing 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

24,461

周安装

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GitHub Stars

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下载量

7,918
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-market-sizing(Afrexai 市场规模)
来源仓库:https://github.com/1kalin/afrexai-market-sizing
安装命令:
openclaw skills install afrexai-market-sizing
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。

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openclaw skills install afrexai-market-sizing

简介

使用自上而下和自下而上的方法以及推介和业务案例的来源引用来计算可防御的 TAM、SAM 和 SOM 市场规模。

SKILL.md

Market Sizing — TAM/SAM/SOM Calculator

Build defensible market sizing for any product, pitch deck, or business case. Top-down and bottom-up methodologies combined.

What You Get

  • TAM (Total Addressable Market) — entire market if you had 100% share
  • SAM (Serviceable Addressable Market) — segment you can actually reach
  • SOM (Serviceable Obtainable Market) — realistic capture in 12-36 months
  • Bottom-up validation — unit economics × reachable customers
  • Source citations — government data, industry reports, public filings

How to Use

Tell me your product/service and target customer. I'll build the full sizing.

Example prompts:

  • "Size the market for AI-powered contract review for mid-market law firms in the US"
  • "TAM/SAM/SOM for a SaaS helpdesk targeting e-commerce brands doing $1M-$50M revenue"
  • "Market size for automated bookkeeping for UK SMBs"

Methodology

Top-Down

  1. Start with total industry revenue (cite source)
  2. Filter by geography, segment, company size
  3. Apply technology adoption rates
  4. Result = SAM

Bottom-Up

  1. Count reachable customers (databases, directories, LinkedIn)
  2. Multiply by realistic ACV (annual contract value)
  3. Apply conversion rates at each funnel stage
  4. Result = SOM

Triangulation

Compare top-down and bottom-up. If they're within 2-3x of each other, the sizing holds. If wildly different, investigate assumptions.

Output Format

## Market Sizing: [Product/Service]

### TAM — $X.XB
[Total market calculation with sources]

### SAM — $XXM
[Filtered by geography + segment + tech adoption]

### SOM (12-month) — $X.XM
[Bottom-up: customers × ACV × conversion]

### Key Assumptions
- [Assumption 1 + source]
- [Assumption 2 + source]

### Risks to Sizing
- [What could make this smaller]
- [What could make this bigger]

When to Use This

  • Pitch decks and investor presentations
  • Go-to-market strategy planning
  • New product feasibility analysis
  • Board presentations and business cases
  • Competitive positioning

Pro Tip

Most founders oversize their TAM and undersize their SOM. Investors see through inflated numbers instantly. A tight, well-sourced $50M SAM beats a hand-wavy $10B TAM every time.


Need the full business context pack for your industry? Browse AfrexAI Context Packs — pre-built agent configs for Fintech, Healthcare, Legal, SaaS, and 6 more verticals ($47 each).

Calculate what AI automation could save your business: AI Revenue Leak Calculator

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

98.9%
按下载量换算7,831

安全审计

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通过

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Static analysis

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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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