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Agent Skill

Tam Sam Som Calculator skill

tam-sam-som-calculatordeanpeters/Product-Manager-Skillsskills/tam-sam-som-calculator/SKILL.md

Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats. Use when sizing a market for a product idea, business case, or executive review.

7.6k

always on

42 tokname + description

once used

4,325 tokSKILL.md body

bundled files

31 scripts

repo stars

7.6kGitHub

Install the Tam Sam Som Calculator skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill tam-sam-som-calculator

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills
mkdir -p ~/.claude/skills
cp -R /tmp/Product-Manager-Skills/skills/tam-sam-som-calculator ~/.claude/skills/tam-sam-som-calculator

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description42 tok
When the agent uses itThe SKILL.md instructions4,325 tok
Only if opened3 bundled files (9 KB)varies

Until it is used, tam-sam-som-calculator costs about 32× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 77 skills from deanpeters/Product-Manager-Skills would load 2,883 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Purpose
  • Input
  • Key Concepts
  • TAM/SAM/SOM Framework
  • Why This Works
  • Anti-Patterns (What This Is NOT)
  • When to Use This
  • When NOT to Use This
  • Facilitation Source of Truth
  • Application
  • Step 0: Gather Context (Before Questions)
  • Optional Helper Script (Deterministic Math)
  • Mode 3: Autonomous Research (when the user has no numbers)
  • Question 1: Problem Space
  • Question 2: Geographic Region
  • Question 3: Industry/Market Segments
  • Question 4: Potential Customers (Demographics/Firmographics)
  • Output: Generate TAM/SAM/SOM Analysis
  • Examples
  • Common Pitfalls
  • Pitfall 1: TAM Without Citations
  • Pitfall 2: SOM Equals SAM
  • Pitfall 3: No Population Estimates
  • Pitfall 4: Static Assumptions

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