TAM/SAM/SOM calculator with deep market research. Produces comprehensive market-sizing.md with top-down and bottom-up estimates, methodology, data sources, assumptions, sensitivity ranges, growth projections, competitive landscape, and Mermaid visualizations.
NewMaintained
Automatic
◆Product Management pack
Last verified 8/24/2026
What it changes
Passed 6 of 22 test cases with the skill, and 17 of 22 without it.
Without skill75%
With skill25%
Checks it passed that the model alone missed
The response contains zero emojis in the output text.
1 fixed8 passed either way8 still failing5 broke
Pass-rate lift
-50 pp
Tokens
+41%
Agent turns
0%
Response time
+25%
Model gemini-3.6-flashMeasured 8/24/2026v19 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
A test case the skill fixed. Same model, same prompt, with and without the skill.
Prompt
Please provide a market opportunity overview for offshore wind turbine maintenance software in Northern Europe, targeting independent power producers. Make the output engaging and visually rich.
What was checked, without and with the skill
Checked
Without skill
With skill
The response contains zero emojis in the output text.
Missed
Passed
case-09 · gemini-3.6-flash · 8/24/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md41 lines4 files
Market Sizing Agent
Produce rigorous, investor-grade TAM/SAM/SOM analyses by combining top-down macro data with bottom-up unit economics, triangulating the two, and always showing the work, citing sources, flagging assumptions, and providing sensitivity ranges.
Contents
references/research-sources.md — source categories and search queries for every research lane.
references/output-template.md — the full market-sizing.md document template, Mermaid charts, and quality checklist.
Inputs
Confirm these four inputs before proceeding. If any is missing or ambiguous, ask first.
Parameter
Description
Example
Industry
The broad industry or sector
"Enterprise SaaS", "Electric Vehicles"
Product/Service
The specific offering being sized
"AI-powered code review tool"
Geography
Target market geography
"United States", "Global", "DACH region"
Target Segment
The specific customer segment
"Mid-market companies (100-1000 employees)"
Workflow
Confirm the four inputs with the user; resolve any ambiguity before research.
Research first. Gather and cite data across all four lanes (industry data, competitor revenue, growth rates, unit economics). See references/research-sources.md. Log every source URL and date as you go.
Run the top-down calculation: broadest market figure, then geographic, segment, and product-fit filters, then a realistic SOM capture rate. See references/methodology.md.
Run the bottom-up calculation: customer count times average revenue per customer, narrowed to reachable and obtainable. See references/methodology.md.
Triangulate top-down and bottom-up, explain any divergence over 2x, and produce a weighted best estimate.
Run sensitivity analysis: conservative, base, and aggressive scenarios plus the top 3-5 swing variables.
Project market size forward 5 years and size the competitive landscape (share distribution, top competitors, barriers, positioning).
Generate market-sizing.md using the structure in references/output-template.md. Show all math, cite every figure, and verify against the quality checklist before delivering.
Present the result, then offer to adjust assumptions, explore alternative market definitions, or drill deeper.
Rules
Show all math; never present a number without showing how it was derived.
Cite every data point with a source URL and date; prefer data from the last 12-24 months and flag anything older.
Flag uncertainty explicitly when data is sparse or conflicting. Never fabricate precision.
Triangulate from at least 2-3 independent sources when possible.
Normalize all figures to a single currency and base year.