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market-sizing市场规模

Agent Skill

market-sizing 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

1,557

周安装

63

GitHub Stars

160

下载量

489
CodexClaudeCursorGemini CLI

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

unknown

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:market-sizing(市场规模)
来源仓库:https://github.com/yonatangross/orchestkit
仓库路径:skills/market-sizing
安装命令:
npx skills add https://github.com/yonatangross/orchestkit --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/yonatangross/orchestkit --skill market-sizing

简介

market-sizing 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态,以及是否触发联网、命令执行或文件读写操作。
  • 建议结合原始 README 核验具体用法和功能边界。

SKILL.md

Market Sizing

TAM/SAM/SOM framework for estimating addressable market and validating opportunity size.

Definitions

MetricDefinitionQuestion It Answers
TAMTotal Addressable Market — everyone who could possibly buy"What's the theoretical ceiling?"
SAMServiceable Addressable Market — segment you can actually reach"What can we realistically target?"
SOMServiceable Obtainable Market — realistic share in 3 years"What will we actually capture?"
+-------------------------------------------------------+
|                         TAM                            |
|  +---------------------------------------------------+ |
|  |                      SAM                           | |
|  |  +-----------------------------------------------+| |
|  |  |                   SOM                          || |
|  |  +-----------------------------------------------+| |
|  +---------------------------------------------------+ |
+-------------------------------------------------------+

When to Use Top-Down vs. Bottom-Up

MethodUse WhenRisk
Top-DownIndustry reports exist; investor pitch; quick estimateOverestimates SOM
Bottom-UpSales capacity known; pricing validated; more credibleMore work; requires assumptions
Both (recommended)High-stakes decisions; fundraising; board decksCross-validate to build confidence

Always cross-validate both methods and reconcile within 20%. If they diverge by more than that, revisit your assumptions.

Quick Formulas

Top-Down
  TAM = (# potential customers) × (annual value per customer)
  SAM = TAM × (% your solution can address)
  SOM = SAM × (realistic market share % in 3 years)

Bottom-Up
  SOM = (# customers you can acquire) × (average deal size)
  SAM = SOM / (your expected market share %)
  TAM = SAM / (your segment as % of total market)

Example: AI Code Review Tool

## Market Sizing: AI Code Review Tool

### Top-Down

TAM
- Global developers: 28M
- Using code review tools: 60% → 16.8M
- Average annual spend: $300/developer
- TAM = $5.04B

SAM
- Enterprise only (>500 employees): 8M developers
- Willing to pay premium: 40% → 3.2M
- SAM = $960M

SOM
- Sales capacity supports ~$15M ARR (Year 3)
- Realistic market share: 2%
- Unconstrained SOM = $960M × 2% = $19.2M
- Constrained SOM = min($19.2M, $15M) = $15M

### Bottom-Up
- Target accounts Year 1: 50 enterprise deals
- Average ACV: $100K
- Year 1 ARR: $5M
- Year 3 (3× growth): $15M ARR → SOM = $15M

### Reconciled SOM: $15M (confirmed by both methods)

SOM Constraint Model

Do not report an unconstrained SOM. Always apply real-world limits:

SOM constraints:
  Sales capacity:       supports $15M ARR max
  Competitive pressure: 5 strong incumbents → −20% market share
  Go-to-market reach:   70% of SAM reachable with current channels

Conservative SOM = min(
  SAM × target_share%,
  sales_capacity_ceiling,
  SAM × gtm_reach% × target_share%
)

Confidence Levels

ConfidenceEvidence Required
HIGHMultiple corroborating sources, data < 2 years old
MEDIUMSingle authoritative source, 1-2 years old
LOWExtrapolated, heavy assumptions, data > 2 years old

Always label each number with its confidence level in deliverables.

Common Mistakes

MistakeCorrection
TAM = "everyone on earth"Define a specific, bounded customer segment
SOM = 10% of a billion-dollar marketApply actual sales capacity and GTM constraints
Single method onlyCross-validate top-down and bottom-up
Old dataUse sources < 2 years old; flag if older
Ignoring competitionSOM must account for incumbents' share

References

Related Skills

  • ork:competitive-analysis — Understand competitive dynamics that constrain SOM
  • ork:business-case — Build financial justification once opportunity is sized
  • ork:product-frameworks — Full product strategy toolkit

Version: 1.0.0

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平台分布

Codex

38.38%
按下载量换算188

Claude

28.18%
按下载量换算138

Cursor

17.31%
按下载量换算85

Gemini CLI

8.73%
按下载量换算43

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只读

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