用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill afrexai-market-sizing命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
监控 OpenClaw GitHub 版本更新,获取最新版本发布说明,翻译成中文, 并推送到 Telegram 和 Feishu。用于:(1) 定时检查版本更新 (2) 推送版本更新通知 (3) 生成中文版发布说明
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
正在显示 SKILL.md
基于 SOC 职业分类
| name | afrexai-market-sizing |
| description | 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.
Tell me your product/service and target customer. I'll build the full sizing.
Example prompts:
Compare top-down and bottom-up. If they're within 2-3x of each other, the sizing holds. If wildly different, investigate assumptions.
## 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]
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