tam-sam-som-sizer
Skill0 starsChanged 47 days agoMITView on GitHub
Size the market, TAM, SAM, and SOM, from an ICP definition and target geography, showing the methodology and flagging every key assumption. Use when the user asks "how big is this market", "what's our TAM/SAM/SOM", "how many companies fit our ICP", or needs to size a segment before committing outbound effort or pitching investors. Reads the ICP from outreach-brief.md if present and writes the sizing back into it.
In this repository15 other files it gives its agents.
- cold-call-scriptSkill
- competitor-finderSkill
- copywriting-first-touchSkill
- copywriting-follow-upSkill
- copywriting-linkedin-dmSkill
- deep-company-analyserSkill
- icp-definerSkill
- n8n-workflow-builderSkill
- offer-definerSkill
- outreach-strategistSkill
- pain-identifierSkill
- persona-definerSkill
- pipeline-analyserSkill
- reply-rate-analyserSkill
- value-prop-listerSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Prefer a defensible range over fake-precise single numbers.
- Very specific: line 24
Write into section 8 (Market size) of outreach-brief.md:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
TAM / SAM / SOM Sizer
A market size that can't show its working is a guess in a suit. This skill sizes the market transparently, so you can defend every number and know which assumption to challenge.
Input needed
- The ICP (read section 3 of
outreach-brief.mdif present, otherwise ask). - Target geography.
Method
Work both top-down and bottom-up, flagging assumptions as you go:
- TAM (total addressable market): everyone who could ever buy this category. State the population and the source.
- SAM (serviceable addressable market): the slice that fits your ICP and geography. Apply the ICP filters explicitly.
- SOM (serviceable obtainable market): the realistic slice you can win in a defined timeframe, given your reach and conversion.
- Where you lack hard data, estimate with a stated method (e.g., "X companies in [source] × % that fit ICP") and mark it as an assumption to verify.
Prefer a defensible range over fake-precise single numbers.
Output
Write into section 8 (Market size) of outreach-brief.md:
- TAM, SAM, and SOM, each with the number or range and a one-line method.
- An assumptions to verify list: the levers that most change the answer.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

