Agent skill

Market Size

by davepoon in davepoon/buildwithclaude

Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis.

MITAuto-check passedProduct & Project Management

Install Market Size

skills CLI
$ npx skills add davepoon/buildwithclaude --skill market-size -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davepoon/buildwithclaude market-size --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/venture-capital-intelligence/skills/market-size .claude/skills/market-size && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
market-size
GitHub stars
3.6k
Token cost
~1.2k tokens
SKILL.md length
401 words
Files
3 (incl. scripts)
Skills in repo
247
Repo updated
First seen
Licence
MIT

At a glance

Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis.

  • Works in 6 steps: DEFINE THE MARKET → CLAUDE: WEB SEARCH FOR MARKET DATA → CLAUDE: PREPARE SIZING INPUTS → …
  • Tasks that involve Market sizing
  • SKILL.md covers STEP 1 — DEFINE THE MARKET, STEP 2 — CLAUDE: WEB SEARCH…, STEP 3 — CLAUDE: PREPARE… and STEP 4 — PYTHON: COMPUTE…, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Market Size is an agent skill from davepoon/buildwithclaude. Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis. Triggered by: "/venture-capital-intelligence:market-size", "size this market", "what is the TAM for X", "market sizing analysis", "competitive landscape for X", "who are the competitors", "TAM SAM SOM for X", "market opportunity analysis", "how big is this market", "is this market big enough", "what's the addressable market", "total addressable market for X", "how large is the opportunity", "market…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/market_formatter.py` and `scripts/tam_calculator.py`).

It sits in Product & Project Management, covering Market sizing and Fundraising and pitch decks. It works with Python. The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.

When your agent uses it

  • Tasks that involve Market sizing
  • Tasks that involve Fundraising and pitch decks

Example prompts

  • “/venture-capital-intelligence:market-size”
  • “size this market”
  • “what is the TAM for X”
  • “/market-size”

Requirements

  • Python 3
  • Node.js

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. DEFINE THE MARKET
  2. CLAUDE: WEB SEARCH FOR MARKET DATA
  3. CLAUDE: PREPARE SIZING INPUTS
  4. PYTHON: COMPUTE TAM/SAM/SOM
  5. CLAUDE: TECH STACK ANALYSIS
  6. PYTHON: FORMAT FINAL REPORT

What it can do on your machine

Read from SKILL.md and the folder at commit 616deb5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Market Size loads about 1.2k tokens when it runs. Until then it costs about 183 tokens; SKILL.md has 401 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~183
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from davepoon/buildwithclaude at commit 616deb5, republished under its MIT licence (© davepoon). 401 words, ~1,188 tokens.

Download SKILL.mdSave it as .claude/skills/market-size/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
market-size
description
Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis. Triggered by: "/venture-capital-intelligence:market-size", "size this market", "what is the TAM for X", "market sizing analysis", "competitive landscape for X", "who are the competitors", "TAM SAM SOM for X", "market opportunity analysis", "how big is this market", "is this market big enough", "what's the addressable market", "total addressable market for X", "how large is the opportunity", "market research for X", "how saturated is this market", "market size estimate", "go-to-market sizing", "what is the serviceable market". Claude Code only. Requires Python 3.x. Uses web search for market data.
category
business-finance
platform
claude-code
requires
python3

Venture Capital Intelligence — Market Size Agent

You are a market research analyst at a top-tier VC firm. You size markets rigorously using both top-down and bottom-up methods, map the competitive landscape, and assess market timing.

Pipeline: Claude web searches → Claude extracts data → Python computes TAM/SAM/SOM → Claude interprets → Python formats


STEP 1 — DEFINE THE MARKET

Ask for or extract:

  • Company name and what it does (one sentence)
  • Target customer (who buys it, what industry)
  • Geography (US only? Global? Specific region?)
  • Business model (B2B SaaS, marketplace, hardware, consumer, etc.)
  • Price point (if known)

STEP 2 — CLAUDE: WEB SEARCH FOR MARKET DATA

Run 4 targeted web searches to gather market data:

Search 1: "[market category] market size 2024 2025 billion" site:statista.com OR site:grandviewresearch.com OR site:mordorintelligence.com

Search 2: "[market category] TAM total addressable market" "$B" OR "billion" 2024

Search 3: "[target customer type] number of companies" OR "[target customer] market count" statistics

Search 4: "[company name] competitors" OR "[market category] startups" funding 2024

Extract from search results:

  • Market size estimates (note source and year)
  • Market growth rate (CAGR)
  • Number of potential customers (for bottom-up)
  • Key competitors (company name, funding, estimated revenue)

STEP 3 — CLAUDE: PREPARE SIZING INPUTS

Save to ${CLAUDE_PLUGIN_ROOT}/skills/market-size/output/market_inputs.json:

json
{
  "company": "",
  "market_category": "",
  "geography": "Global",
  "target_customer": "",
  "business_model": "B2B SaaS",
  "price_per_customer_annual": 0,
  "top_down": {
    "total_market_size_usd": 0,
    "addressable_fraction": 0.0,
    "obtainable_fraction": 0.0,
    "cagr_pct": 0.0,
    "source": ""
  },
  "bottom_up": {
    "total_potential_customers": 0,
    "addressable_customers": 0,
    "obtainable_customers": 0,
    "arpu_annual": 0
  },
  "competitors": [
    {
      "name": "",
      "funding_total_usd": 0,
      "estimated_arr_usd": 0,
      "founded_year": 0,
      "differentiation": ""
    }
  ]
}

Estimation guidance:

  • SAM is typically 10–30% of TAM (serviceable portion given your business model and geography)
  • SOM is typically 1–10% of SAM in years 1–3
  • If bottom-up customer count is available: bottom_up_TAM = total_customers × ARPU

Show full SKILL.md (171 more words)Show less

STEP 4 — PYTHON: COMPUTE TAM/SAM/SOM

Run: python "${CLAUDE_PLUGIN_ROOT}/skills/market-size/scripts/tam_calculator.py"

Computes both methods and derives a consensus range. Flags if TAM < $1B (below venture threshold).


STEP 5 — CLAUDE: TECH STACK ANALYSIS

For each major competitor, identify their technology stack based on:

  • Job postings (engineering roles mention tech)
  • Open source repos (GitHub org)
  • Website technology fingerprints (CDN, analytics, tracking scripts)
  • Public developer profiles (LinkedIn, Twitter)

Classify each competitor's stack using the webappanalyzer taxonomy:

  • Frontend framework (React / Vue / Angular / Next.js)
  • Backend (Node.js / Python / Go / Ruby / Java)
  • Database (PostgreSQL / MySQL / MongoDB / Redis)
  • Infrastructure (AWS / GCP / Azure / Vercel)
  • Key SaaS tools (Stripe / Segment / Intercom / HubSpot)

This reveals: technical maturity, rebuild risk, hiring difficulty, and migration complexity for enterprise customers.


STEP 6 — PYTHON: FORMAT FINAL REPORT

Run: python "${CLAUDE_PLUGIN_ROOT}/skills/market-size/scripts/market_formatter.py"


VC MARKET RULE CHECK

After computing, flag:

  • ✅ TAM > $1B — venture-scale opportunity
  • ⚠️ TAM $500M–$1B — possible, tight for top-tier VC
  • ❌ TAM < $500M — likely too small for institutional VC (angels or PE territory)
  • ✅ Market growing > 15% CAGR — strong tailwind
  • ⚠️ Market growing 5–15% CAGR — moderate growth
  • ❌ Market declining or < 5% growth — headwind risk

© davepoon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in plugins/venture-capital-intelligence/skills/market-size of davepoon/buildwithclaude.

  • SKILL.md
  • scripts/market_formatter.py
  • scripts/tam_calculator.py

Open the folder on GitHubat commit 616deb5

Compare with similar skills

Market Size next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Market Size compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Market Size this skilldavepoon/buildwithclaude3.6k—~1.2kAutomated safety check: PassMIT
Management ConsultantDogInfantry/claude-skill-management-consultant-B1136—~14kAutomated safety check: PassCustom licence
Market Research ReportsK-Dense-AI/claude-scientific-writer2.4k1 repos~3.5kAutomated safety check: PassMIT
Competitor MapperMaxKmet/idea-validation-agents478—~3.3kAutomated safety check: PassMIT
Market Researchcohen-liel/hivemind1106 repos~557Automated safety check: PassApache-2.0
Market Researchborghei/Claude-Skills891—~2.8kAutomated safety check: PassMIT

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Works with

Questions about Market Size

What does Market Size do?

Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis. Market Size is an agent skill from davepoon/buildwithclaude. Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis.

When should I use Market Size?

Market Size fits situations like: tasks that involve Market sizing; tasks that involve Fundraising and pitch decks.

How do I install Market Size in Claude Code?

Run `npx skills add davepoon/buildwithclaude --skill market-size -a claude-code`. Or copy the skill folder (plugins/venture-capital-intelligence/skills/market-size in davepoon/buildwithclaude) into .claude/skills/market-size in your project. Claude Code loads it when a task matches its description.

How do I install Market Size in Codex?

Run `npx skills add davepoon/buildwithclaude --skill market-size -a codex`. Or copy the skill folder (plugins/venture-capital-intelligence/skills/market-size in davepoon/buildwithclaude) into .agents/skills/market-size in your project. Codex loads it when a task matches its description.

Can I use Market Size in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davepoon/buildwithclaude --skill market-size -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-size, .gemini/skills/market-size, .github/skills/market-size and .opencode/skills/market-size in your project.

What does Market Size need to run?

Going by SKILL.md and its folder, Market Size needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; Node.js.

Does Market Size access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Market Size safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Market Size use?

Market Size is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Market Size use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Market Size?

Skills that share tags, products or a category with Market Size: Management Consultant (DogInfantry/claude-skill-management-consultant-B1, 136 stars), Market Research Reports (K-Dense-AI/claude-scientific-writer, 2.4k stars), Competitor Mapper (MaxKmet/idea-validation-agents, 478 stars) and Market Research (cohen-liel/hivemind, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Market Size?

davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,610 GitHub stars. The repository holds 247 skills in this directory. The repository was last updated on October 9, 2026.

Source: davepoon/buildwithclaude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.