Market Sizing Analysis
wshobson/agents
Calculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies.
Structured market analysis with TAM/SAM/SOM sizing, trends, and competitive landscape via WebSearch, producing investor-grade cited reports.
$ npx skills add Mathews-Tom/armory --skill market-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Mathews-Tom/armory market-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/market-analyzer .claude/skills/market-analyzer && rm -rf skills-srcUse ~/.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/
Install the "market-analyzer" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/market-analyzer into .claude/skills/market-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Mathews-Tom/armory/tree/main/skills/market-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Mathews-Tom/armory --skill market-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Mathews-Tom/armory market-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/market-analyzer .agents/skills/market-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "market-analyzer" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/market-analyzer into .agents/skills/market-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Mathews-Tom/armory --skill market-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Mathews-Tom/armory market-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/market-analyzer .cursor/skills/market-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "market-analyzer" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/market-analyzer into .cursor/skills/market-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Mathews-Tom/armory.git --path skills/market-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Mathews-Tom/armory --skill market-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Mathews-Tom/armory market-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/market-analyzer .gemini/skills/market-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "market-analyzer" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/market-analyzer into .gemini/skills/market-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Mathews-Tom/armory market-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Mathews-Tom/armory --skill market-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/market-analyzer .github/skills/market-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "market-analyzer" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/market-analyzer into .github/skills/market-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Mathews-Tom/armory --skill market-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Mathews-Tom/armory market-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/market-analyzer .opencode/skills/market-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "market-analyzer" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/market-analyzer into .opencode/skills/market-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
market-analyzerStructured market analysis with TAM/SAM/SOM sizing, trends, and competitive landscape via WebSearch, producing investor-grade cited reports.
Market Analyzer is an agent skill from Mathews-Tom/armory. Structured market analysis with TAM/SAM/SOM sizing, trends, and competitive landscape via WebSearch, producing investor-grade cited reports. Triggers on: "market size", "TAM SAM SOM", "market opportunity", "industry analysis", "how big is the market", "market trends". NOT for financial modeling or pricing.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `evals/cases.yaml`, `references/market-sizing.md` and `references/tam-sam-som.md`).
It sits in Product & Project Management, covering Market research, Market sizing and Startup and business strategy. The repository describes itself as: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4594fb7. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Market Analyzer loads about 2.4k tokens when it runs, and up to ~8.9k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 760 words of instructions outside code blocks.
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.
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); files beside SKILL.md are not scanned.
The full file from Mathews-Tom/armory at commit 4594fb7, republished under its MIT licence (© Mathews-Tom). 760 words, ~2,434 tokens.
.claude/skills/market-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Produces structured market analysis reports: sizes the addressable market using top-down and bottom-up methods, identifies growth trajectories and adoption stages, segments customers, and assesses timing. Every estimate cites a data source or states its assumption explicitly.
| File | Contents | Load When |
|---|---|---|
references/tam-sam-som.md | TAM/SAM/SOM definitions, calculation formulas, common mistakes | Always |
references/trend-analysis.md | Trend categorization framework, adoption lifecycle, timing signals | Always |
references/market-sizing.md | Data sources, estimation techniques, confidence framework | Always |
Use WebSearch to gather quantitative market data:
For each data point, record the source, publication date, and methodology (if available).
Apply both estimation approaches and cross-validate:
Top-down (from total industry):
TAM = Total industry revenue or total potential buyers x average revenue per buyer
SAM = TAM x % addressable by geography, segment, and channel
SOM = SAM x realistic capture rate (year 1-3)Bottom-up (from unit economics):
Reachable customers = Identified target accounts or users in reachable channels
SOM = Reachable customers x conversion rate x average revenue per customer
SAM = SOM scaled to full serviceable segment (remove channel constraints)
TAM = SAM scaled to total market (remove geographic/segment constraints)Cross-validate the two approaches. If they diverge by more than 3x, investigate the discrepancy and document the reason.
Evaluate four dimensions:
Identify 2-5 distinct customer segments:
Produce the structured output below.
## Market Analysis: {Subject}
### Executive Summary
**Market Opportunity Score: {1-5}/5**
{2-3 sentence summary of the opportunity, key market size, and timing assessment.}
### TAM / SAM / SOM
| Level | Value | Methodology | Confidence |
|-------|-------|-------------|------------|
| TAM | ${amount} | {Top-down / Bottom-up / Both} | {High/Medium/Low} |
| SAM | ${amount} | {methodology summary} | {High/Medium/Low} |
| SOM (Year 1) | ${amount} | {methodology summary} | {High/Medium/Low} |
| SOM (Year 3) | ${amount} | {methodology summary} | {High/Medium/Low} |
**Top-down calculation:**
{Step-by-step derivation with sources}
**Bottom-up calculation:**
{Step-by-step derivation with sources}
**Cross-validation:**
{Comparison of approaches, explanation of any divergence}
### Market Trends
| Dimension | Assessment | Evidence |
|-----------|-----------|----------|
| Growth trajectory | {Emerging/Growing/Mature/Declining} | {CAGR, data source} |
| Adoption stage | {Innovators/Early Adopters/Early Majority/Late Majority} | {penetration %, signal} |
| Regulatory | {Tailwind/Neutral/Headwind} | {specific regulation or policy} |
| Macro trends | {Favorable/Mixed/Unfavorable} | {key trend} |
### Customer Segments
| Segment | Size | Growth | WTP Signal | Priority |
|---------|------|--------|------------|----------|
| {name} | {size} | {rate} | {signal} | {Primary/Secondary/Tertiary} |
### Key Risks and Assumptions
| # | Assumption | Impact if Wrong | Confidence |
|---|-----------|-----------------|------------|
| 1 | {assumption} | {impact} | {High/Medium/Low} |
### Data Quality Assessment
| Data Point | Source | Date | Quality |
|-----------|--------|------|---------|
| {metric} | {source} | {date} | {Verified/Estimated/Extrapolated} |
### Recommendation
{1-2 paragraphs: proceed/pivot/investigate further, with specific next steps.}| Score | Meaning | Criteria |
|---|---|---|
| 5 | Exceptional | Large TAM (> $10B), growing (> 15% CAGR), early adoption stage, regulatory tailwinds |
| 4 | Strong | Large TAM or high growth, favorable timing, manageable competition |
| 3 | Moderate | Mid-size market, moderate growth, competitive but differentiation possible |
| 2 | Challenging | Small or saturated market, mature stage, significant headwinds |
| 1 | Unfavorable | Declining market, regulatory barriers, limited differentiation |
| Problem | Resolution |
|---|---|
| No market data available | Use proxy markets and analogies. State the proxy explicitly. Reduce confidence to Low. |
| Input too vague to size | Ask clarifying questions (target customer, geography, price point) before proceeding. |
| Conflicting data sources | Present both figures, explain the discrepancy, use the more conservative estimate. |
| Market is too new for reliable data | Size the adjacent market the product displaces. Note the nascent stage. |
| User wants a single TAM number | Provide the range (conservative to optimistic) with the methodology behind each bound. |
Push back if:
© Mathews-Tom, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in skills/market-analyzer of Mathews-Tom/armory.
Open the folder on GitHubat commit 4594fb7
Market Analyzer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Market Analyzer this skillMathews-Tom/armory | 329 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Market Sizing Analysiswshobson/agents | 40k | 1 repos | ~620 | Automated safety check: Pass | MIT | |
| Market Researchshawnpang/startup-founder-skills | 343 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Startup Designferdinandobons/startup-skill | 1.2k | — | ~8.1k | Automated safety check: Pass | MIT | |
| Market Research Analysismanojbajaj95/claude-gtm-plugin | 105 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Startup Analystaiskillstore/marketplace | 433 | 9 repos | ~2.9k | Automated safety check: Pass | None |
wshobson/agents
Calculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies.
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Structured market analysis with TAM/SAM/SOM sizing, trends, and competitive landscape via WebSearch, producing investor-grade cited reports. Market Analyzer is an agent skill from Mathews-Tom/armory. Structured market analysis with TAM/SAM/SOM sizing, trends, and competitive landscape via WebSearch, producing investor-grade cited reports.
Market Analyzer fits situations like: market opportunity; industry analysis; how big is the market.
Run `npx skills add Mathews-Tom/armory --skill market-analyzer -a claude-code`. Or copy the skill folder (skills/market-analyzer in Mathews-Tom/armory) into .claude/skills/market-analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Mathews-Tom/armory --skill market-analyzer -a codex`. Or copy the skill folder (skills/market-analyzer in Mathews-Tom/armory) into .agents/skills/market-analyzer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mathews-Tom/armory --skill market-analyzer -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-analyzer, .gemini/skills/market-analyzer, .github/skills/market-analyzer and .opencode/skills/market-analyzer in your project.
SKILL.md names no scripts, command-line tools or credentials: Market Analyzer is instructions for the agent only.
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.
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. Review the folder before installing.
Market Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Market Analyzer: Market Sizing Analysis (wshobson/agents, 40k stars), Market Research (shawnpang/startup-founder-skills, 343 stars), Startup Design (ferdinandobons/startup-skill, 1.2k stars) and Market Research Analysis (manojbajaj95/claude-gtm-plugin, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Mathews-Tom (a GitHub user) maintains it in Mathews-Tom/armory, which has 329 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on October 6, 2026.
Source: Mathews-Tom/armory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.