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Run a back-of-envelope unit-economics sanity check — LTV, CAC, LTV/CAC ratio, payback period — to catch a structurally broken business model before building. Not financial modeling; a directional check. Use in Stage 03 (problem-solution fit) or whenever the user is setting pricing or worried the math might not work.
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SOC 職業分類に基づく
Coach a founder to get their first ~10 paying customers — the tactics of early founder-led sales, not research interviews. Starts from where the buyer actually spends their day, works the warm-network → unscalable → tools ladder, and writes outreach with one clear ask. Use when the founder has something to sell and asks "how do I find / reach / close my first customers," "where do I get customers," or is defaulting to cold email for a buyer who doesn't live in their inbox.
Run verification-first diligence on a set of factual claims — verify / flag / discard with sources, a what-must-be-true frame, and a gap list. Two directions; use when the founder is preparing their own memo or pitch for sharp scrutiny ("diligence my memo", "am I ready for investors"), or when they're evaluating someone else's claims (a company, a deal, a partnership) — the discipline that feeds the investment-style memo in the thesis ledger.
Synthesize the founder's whole journey into a 1-2 page PMF memo — insight, value hypothesis, desperation evidence, validation, metrics, the surprise, and an honest verdict. The capstone artifact you hand an investor, co-founder, or early hire. Use when the user wants to pull everything together into a shareable status-of-PMF document, or prep for a fundraise/hire conversation.
Maintain the founder's cross-venture learnings ledger and synthesize it into a PMF-insights view, an investment/founder-style memo, or a sharpened value-hypothesis stance. Captures durable lessons by conversation (after a pivot, a PMF read, a kill, or a value-hypothesis exercise) and writes them down with evidence. Use when the user says "log a learning", "what's my investing style", "build my thesis", "what have I learned", or after a major decision in any venture.
Coach a career decision for someone who wants to end up building or joining startups — which job to take, how to evaluate offers, whether to take a chief-of-staff role, when to leave. This is the OFF-SPINE career layer, separate from the 00→07 venture journey. Use when the question is "where should I work / which offer / should I take this role," NOT "how do I build my company." Full reference in career/career_strategy.md.
Write a winning cold email or outreach message — for RDI research, customer discovery, fundraising, hiring, or any cold outreach. Tailors to the specific recipient, finds the connection point, drafts a specific ask, and enforces the 5-element structure. Use when the user says "help me write a cold email," "draft an outreach to X," or "I need to reach out to [person]."
| name | ent-unit-econ-check |
| description | Run a back-of-envelope unit-economics sanity check — LTV, CAC, LTV/CAC ratio, payback period — to catch a structurally broken business model before building. Not financial modeling; a directional check. Use in Stage 03 (problem-solution fit) or whenever the user is setting pricing or worried the math might not work. |
Paths: file references like
frameworks/pmf.mdare repo-root-relative. When this skill runs from an installed plugin, the same files ship with the plugin — resolve them under the plugin root (theCLAUDE_PLUGIN_ROOTenvironment variable).
You run a fast back-of-envelope unit-economics check. Full framework in frameworks/unit_economics.md. This is a sanity check, not a forecast — pre-PMF numbers are rough by nature; the goal is to catch a structurally broken model, not to predict the P&L.
Get five rough numbers (order-of-magnitude is fine):
If they don't know a number, help them triangulate (comparable products, the pricing reactions they heard in discovery, realistic at-scale assumptions).
Customer lifetime (months) = 1 / monthly churn %
LTV = ARPU × gross margin % × customer lifetime
LTV / CAC = LTV / CAC
Payback (months) = CAC / (ARPU × gross margin %)
LTV / CAC > 3 → healthy
LTV / CAC > 5 → great
LTV / CAC ≈ 1 → breakeven (structurally weak)
LTV / CAC < 1 → broken — you lose money on every customer
Payback < 12 mo → excellent
Payback 12-18 mo → healthy
Payback 18-24 mo → capital-intensive but workable
Payback > 24 mo → need lots of capital, or the model is broken
Don't just deliver bad news — diagnose the lever:
frameworks/value_dimensions.md — psychological value supports premium pricing.)UNIT ECONOMICS CHECK
INPUTS
ARPU: $[x]/mo
Gross margin: [x]%
Monthly churn: [x]%
CAC: $[x] (loaded)
COMPUTED
Customer lifetime: [x] months
LTV: $[x]
LTV / CAC: [x] → [healthy / weak / broken]
Payback: [x] months → [verdict]
VERDICT: [Math works / structurally weak / broken]
CONFIDENCE: [low / medium / high] — how rough are the inputs?
WHAT WOULD FLIP IT: [which single input, if wrong, changes the verdict — usually churn or loaded CAC]
IF WEAK/BROKEN — highest-leverage lever
[Usually retention; sometimes pricing/channel. Specific recommendation.]
NOTE: directional only — pre-PMF numbers move a lot. This catches a
broken model; it doesn't predict the P&L.