founder-pricing

读取消费者面板的四项价格回答，计算 Van Westendorp 可接受价格区间，并结合竞品价格、单位变动成本与盈亏平衡，输出定价建议、价格阶梯、开业报价和测试方案，生成定价曲线与定价报告。

Jakeschincariol

热度 0.00

最近更新 2026-10-19 02:32:55

分类：营销依赖：代码执行 / 读写文件 / 内部调用大模型应用场景：市场分析 / 报告撰写 / 推荐 / 财务

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add jakeschincariol/founder-skill/founder-pricing

Metadata

name: founder-pricing
description: Finds the price buyers will actually pay. Reads the consumer panel's four price answers per buyer into a Van Westendorp price-sensitivity range (too cheap, a bargain, getting expensive, too expensive), sets it against what competitors really charge and against the CFO's margin, and recommends a price, a price ladder (good / better / best) and an opening offer to test. Use when the user says "how much should I charge", "price this", "is $X too expensive", "pricing strategy", "what price", or after the consumer panel.
argument-hint: [current price]

founder-pricing

Price is the fastest lever on the margin and the one founders guess most. This skill sets it from three things you can check: what buyers said, what competitors charge, and what the business needs to earn.

Tool in this folder:

python3 "${CLAUDE_SKILL_DIR}/van_westendorp.py" founder/panel/answers --price 6.50 --out founder/pricing-curve.md

Step 1: what buyers said

If /founder-consumer ran, every buyer answered four price questions. Run the tool on founder/panel/answers (or a CSV with the columns too_cheap, cheap, expensive, too_expensive from real surveys, which beat simulated answers every time). It reports:

point	meaning
PMC	below this, too many think it is too cheap to be good
OPP	the price with the least resistance either way
IPP	where as many call it a bargain as call it expensive
PME	above this, too many will not buy at all

PMC to PME is the acceptable range. If the panel has not run, say so and offer to run /founder-consumer --quick first. Do not invent a range.

Step 2: what competitors charge

From founder/competitors.md (or look them up now, from their own public price pages, with links): the price of the nearest substitutes for the same job. Note what each price includes, so you compare like with like. A matcha latte is compared with other matcha lattes and with the coffee it replaces, not with a tea bag.

Step 3: what the business needs

From founder/numbers.json: the variable cost per unit and the break-even. Run the CFO's tool at two or three candidate prices to see the margin and break-even at each:

python3 "${CLAUDE_SKILL_DIR}/../founder-cfo/unit_economics.py" founder/numbers.json --price 7.00

Step 4: decide

Write founder/pricing.md:

The price, and why: where it sits in the acceptable range, against the competitors, and the margin it gives (from the tool, not a guess).
The ladder, if the business can have one: a good / better / best (size, bundle, subscription, membership) with a reason to step up each rung.
The opening offer: an intro price or bonus for launch that does not train buyers to wait for discounts, with an end date.
What to test with real buyers: two prices inside the range and how to test them (two landing pages, a pre-sale at each, A/B on the menu board).
The panel's verbatim price objections (top three), so marketing can answer them.

Rules

Price answers from simulated buyers pick what to test. They are not proof.
Never price below variable cost to "buy" customers without saying so, and how long the CFO says the business can afford it.
No fake anchors: no "was $X" price that was never charged.

Output

founder/pricing-curve.md, founder/pricing.md. If the price changed, update founder/numbers.json and re-run /founder-cfo. Next: /founder-offer.