tam-sam-som-calculator
by deanpetersThe tam-sam-som-calculator skill helps Product Management teams build defensible TAM, SAM, and SOM estimates with explicit assumptions, citations, and caveats. Use it to size a market for a product idea, business case, investor deck, or strategy memo, and to turn broad market questions into a clear calculation path.
This skill scores 82/100, which means it is a solid listing candidate for Agent Skills Finder. Directory users can reasonably expect a real, triggerable TAM/SAM/SOM workflow with more guidance than a generic prompt, though it is still narrower than a full market-research toolkit.
- Explicit trigger and intent for product-market sizing and executive-review use cases.
- Substantial workflow content with adaptive questions, assumptions, citations, and a reusable template/example pair.
- Includes a deterministic helper script for market sizing, improving operational clarity beyond prose alone.
- The repository evidence shows no install command and no support/reference files, so onboarding may take extra manual reading.
- The calculator appears focused on TAM/SAM/SOM outputs and may require users to supply source data and assumptions themselves.
Overview of tam-sam-som-calculator skill
What tam-sam-som-calculator does
The tam-sam-som-calculator skill helps you build a defensible TAM, SAM, and SOM estimate for Product Management work. It is best for cases where you need more than a rough prompt response: investor decks, market validation, budget requests, or an internal strategy memo that needs explicit assumptions and caveats.
Who should use it
Use the tam-sam-som-calculator skill if you are sizing a market for a new product, a feature expansion, or a geographic launch and want the output to be tied to real inputs like population, segment size, and revenue-per-customer assumptions. It is especially useful when you need a calculation path you can explain to stakeholders.
What makes it different
This is not just a generic market-sizing prompt. The skill is designed around adaptive questions, citation-backed reasoning, and a workflow that pushes you to define scope before math. That matters because most bad TAM/SAM/SOM outputs fail on vague segment boundaries, unsupported adoption assumptions, or unrealistic SOM capture rates.
How to Use tam-sam-som-calculator skill
Install and locate the source
Install the tam-sam-som-calculator skill with:
npx skills add deanpeters/Product-Manager-Skills --skill tam-sam-som-calculator
Then read SKILL.md first, followed by template.md, examples/sample.md, and scripts/market-sizing.py. This gives you the intent, the output shape, a worked example, and the deterministic calculator logic before you adapt the skill to your own use case.
Feed it the right inputs
The skill works best when you start with a narrow product statement, not a broad company vision. A strong input looks like: product category, target customer, geography, and monetization basis.
Example prompt shape:
- Product: B2B workflow automation for small accounting firms
- Geography: United States
- Customer segment: firms with 5–25 employees
- Revenue basis: annual subscription per firm
- Goal: estimate TAM, SAM, and SOM for a seed-stage pitch
That is better than “calculate TAM for my startup” because the skill can only produce useful SAM and SOM when the reachable market and buying unit are clear.
Use the workflow, not just the calculator
For best tam-sam-som-calculator usage, treat the skill as a guided analysis flow:
- Define the market and customer boundary.
- Identify the sizing method you will use.
- Gather sources for population, industry counts, or ARPU.
- State assumptions for serviceability and capture.
- Produce the math and caveats together.
If you have only a rough idea, ask the skill to help refine the segment before asking for numbers. That usually produces a better market model than jumping straight to estimates.
Improve the first pass with supporting evidence
The skill is strongest when you provide source material the model can anchor to: a product description, competitor pricing, target-country data, or a linkable segment definition. If your input lacks these, expect the output to be broader, less precise, and more assumption-heavy.
tam-sam-som-calculator skill FAQ
Is tam-sam-som-calculator only for Product Management?
No. While the tam-sam-som-calculator skill is framed for Product Management, it also fits founders, growth teams, and consultants who need a market-sizing narrative with explicit assumptions. The main requirement is that you can define a customer segment and a revenue model.
How is this different from a normal prompt?
A normal prompt often gives you a one-off estimate. The tam-sam-som-calculator guide is more useful when you want a repeatable process: clearer inputs, a consistent breakdown of TAM/SAM/SOM, and a result you can defend in review. That reduces the chance of unsupported math or ambiguous market boundaries.
Do I need to be an expert to use it?
No, but beginners get better results when they bring a narrow use case. If you only have a concept, use the skill to frame the market first, then iterate on the numbers. The skill is less useful when the problem is still “what are we building?” rather than “how large is this defined market?”
When should I not use it?
Do not use the tam-sam-som-calculator install path if you need a fast, approximate answer with no sourcing, or if your product has no clear buyer, geography, or monetization model yet. In those cases, the analysis will look precise while resting on weak assumptions.
How to Improve tam-sam-som-calculator skill
Give cleaner boundaries
The biggest quality lift comes from tighter scope. State the customer type, region, and pricing basis before asking for the calculation. “SMB dentists in the US paying per location” is much better than “healthcare market in North America.”
Supply stronger assumption anchors
The tam-sam-som-calculator usage improves when you provide one or two credible anchors: known industry counts, public pricing, conversion rates, or adoption constraints. Those inputs help the skill separate TAM from SAM and keep SOM realistic instead of optimistic.
Watch for the common failure modes
The main failure modes are overstating TAM with a too-broad category, making SAM equal TAM, and setting SOM as an arbitrary share without a go-to-market rationale. If the first output feels inflated, tighten the customer definition and ask the skill to restate the assumptions before recalculating.
Iterate from model to memo
Use the first result as a draft model, then revise for stakeholder fit. Ask for a version that highlights assumptions, one that explains sensitivity to ARPU or penetration, or one that converts the estimate into a slide-ready summary. That is usually the fastest way to turn the tam-sam-som-calculator skill into a decision-ready market-sizing artifact.