Use when the user asks how big an opportunity is, names TAM, SAM, or SOM, or needs an investment case for a GTM bet: the sized opportunity with stated math and the case with returns and risks.
Instructions your experts follow when using this skill.
Use this when the user asks how big an opportunity is, names TAM, SAM, or SOM, or needs an investment case for a GTM bet. Start from the segment or market in scope, the pricing and conversion assumptions, and the investment asked for.
TAM (everyone with the problem), SAM (those you can reach), SOM (those you can win in the horizon). Each band gets its method, sources, and date — top-down, bottom-up, or value-theory, said plainly. When Apollo is connected, the bottom-up count of accounts matching the ICP firmographics is a real number, not a guess; use it and cite the filter.
At least two methods, and name where they disagree. The gap between methods is the honest range; a case built on one method says so. Flag a bottom-up vs top-down delta over 3x, and treat SOM capture above 5% in year one as needing extraordinary proof — 1–5% is the usual range for a new entrant.
Investment, expected return, payback, and the net revenue retention, LTV/CAC, or pipeline math that carries it. State the denominator behind every rate and the benchmark you judge it against.
Base, Adverse, Opportunity. Each grade gets the driver that breaks it and the leading indicator that warns you first. Never silently rebaseline — a reforecast says what changed and why.
The verdict and the risks: fund, fund-with-conditions, or pass, each with the evidence grade behind it. You build the case; finance validates the economics before money moves. Save under sizing, one folder per case with the model — a sheet when Sheets is connected — the assumptions log, and the verdict.
No hard data means a triangulated range with the method named, never a single false-precise number. No conversion baseline means you size the ceiling and flag the case as direction-only. Never invent a market size, a growth rate, or a customer count. Label each line FACT, INFERENCE, or UNKNOWN.
Phrases that help your experts find this skill.
When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing.md` that all other skills reference for product, audience, and positioning context.
When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.