CT
Cap Table Explainer
🔵 Stable🕐 updated 2026-06-21
🔷 SkillSpec L3
pm-founders
Explain a cap table, dilution, SAFEs, option pools, and round mechanics in plain English with the actual math. Use when asked to explain dilution, model a SAFE or priced round, size an option pool, understand a term sheet's economics, or figure out who owns what after a raise. Produces a worked ownership breakdown before/after the round, the dilution math step by step, and the traps founders miss. Not legal or financial advice.
📚 Based on Y Combinator SAFE & standard round mechanics
What to give it
▸Current ownership — founders %, existing investors, current option pool
▸The round — amount raised, pre- or post-money valuation, instrument (priced equity, SAFE, convertible note)
▸SAFE / note terms — if any: cap, discount, MFN
▸New option pool — target, and whether it's pre- or post-money ("the pool shuffle")
✅ The bar it holds itself to
Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.
✓Before/after table sums to 100% both columns
✓SAFE conversion uses the investor-favourable of cap vs discount, shown explicitly
✓The option-pool shuffle is quantified, not hand-waved
✓Includes the "not legal/financial advice — confirm with counsel" disclaimer
⚠️ What it refuses to do
Confusing pre- and post-money (the most common, most expensive error)
Ignoring the option pool's dilution effect
Treating ownership % as the whole story while ignoring liquidation preferences
Presenting math without stating assumptions
Install
npx pm-claude-skills add --agent claude # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp
Start with
Related skills
🔌 Embed this skill
Drop this on your blog, docs, or site — it renders a "Run this skill" card:
<div data-pm-skill="cap-table-explainer"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>
💬 Discussion
Cap Table Explainer is one of 599 open-source professional AI agent skills — all SkillSpec L3.
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