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Market Sizing Analysis

Checked
wshobson·vlatest·other·MIT

Estimates potential market size and revenue opportunities based on provided data and industry trends.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill market-sizing-analysis -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned wshobson/agents at 46891e7e60.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
46891e7e60
Manifest
plugins/startup-business-analyst/skills/market-sizing-analysis/SKILL.md
Scanned
4 files, 1,200 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The market-sizing-analysis skill enables AI agents to estimate the size of a market or industry, often using data points like population, income levels, and consumption patterns. It can calculate total addressable markets (TAM), serviceable addressable markets (SAM), and serviceable obtainable markets (SOM) based on user input.

When to use it

  • Estimating the potential revenue of a new product or service in an unfamiliar market
  • Preparing for investor pitches by quantifying market opportunities
  • Conducting competitive analysis to understand industry size and growth trends
  • Supporting business planning by identifying target segments within a larger market

Key capabilities

  • Calculation of TAM, SAM, and SOM metrics
  • Use of demographic and economic data inputs
  • Generation of market size estimates based on assumptions provided by the user

Example prompts

  • "What is the total addressable market for electric vehicles in Germany?"
  • "Estimate the serviceable obtainable market for plant-based meat alternatives in the US."
  • "Calculate the TAM for cloud storage services among small businesses in Southeast Asia."

Tips & gotchas

  • Ensure that input data (e.g., population, income levels) is accurate and relevant to the region or segment being analyzed.
  • The results are estimates based on assumptions; real-world factors like competition and market saturation may affect actual outcomes.