market-sizing-analysis SKILL.md skillA

market-sizing-analysis from wshobson/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add wshobson/agents/market-sizing-analysis@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
wshobson/agents
Path
plugins/startup-business-analyst/skills/market-sizing-analysis/SKILL.md
Versions recorded
5
Latest version
v1.0.0, committed May 22, 2026
First version recorded
Jan 14, 2026
Size
2,477 bytes
Repository stars
42,320
License
MIT

Calculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building investor-ready market analysis for a startup pitch or business plan.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Market Sizing Analysis

Comprehensive market sizing methodologies for calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for startup opportunities.

## Overview

Market sizing provides the foundation for startup strategy, fundraising, and business planning. Calculate market opportunity using three complementary methodologies: top-down (industry reports), bottom-up (customer segment calculations), and value theory (willingness to pay).

## Core Concepts

### The Three-Tier Market Framework

**TAM (Total Addressable Market)**

- Total revenue opportunity if achieving 100% market share
- Defines the universe of potential customers
- Used for long-term vision and market validation
- Example: All email marketing software revenue globally

**SAM (Serviceable Available Market)**

- Portion of TAM targetable with current product/service
- Accounts for geographic, segment, or capability constraints
- Represents realistic addressable opportunity
- Example: AI-powered email marketing for e-commerce in North America

**SOM (Serviceable Obtainable Market)**

- Realistic market share achievable in 3-5 years
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add wshobson/agents/market-sizing-analysis@sha256:373c3f2089d5fa52

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ipsbvpfmg34p2k5o.svg)](https://markdownregistry.com/a/art_ipsbvpfmg34p2k5o)

6 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jan 14, 2026 and May 22, 2026, about one every 32 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-05-22 be57c0b 2,477 BA view · diff
v1.0.02026-03-26 00f2546 11,253 BA view · diff
v1.0.02026-03-07 47a5dbc 11,211 BA view · diff
v1.0.02026-01-19 5684887 12,284 BA view · diff
v1.0.02026-01-14 87231b8 12,237 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2477 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

wshobson/agents · 42,320 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ipsbvpfmg34p2k5o
GET https://markdownregistry.com/api/v1/resolve?ref=wshobson/agents/market-sizing-analysis
GET https://markdownregistry.com/api/v1/blob/373c3f2089d5fa5228c3d24bf12ffacc6fefe04208d0df114ad75832c596e943

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in wshobson/agents

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