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Jakeschincariol

Founder Pricing skill

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"

$npx skills add Jakeschincariol/founder-skill --skill founder-pricing
View this skill on GitHubJakeschincariol/founder-skill/skills/founder-pricing/SKILL.md
Pack stars
3,089
Pack installs
5.7k
Alyn Score
59/99
Updated
35 days ago
License
MIT
– views – installs via Alyn

Jakeschincariol

Founder Pricing

Install Founder Pricing

Pick your agent. Every command is ready to paste.

$npx skills add Jakeschincariol/founder-skill --skill founder-pricing

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads founder-pricing when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the founder-pricing skill”. In Codex, type $founder-pricing.

The skill itself

SKILL.md

FolderGitHub

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:

  1. 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).
  2. The ladder, if the business can have one: a good / better / best (size, bundle, subscription, membership) with a reason to step up each rung.
  3. The opening offer: an intro price or bonus for launch that does not train buyers to wait for discounts, with an end date.
  4. 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).
  5. 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.

Tips for Founder Pricing

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
  • • It is part of a pack with 11 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Founder Pricing

What does the Founder Pricing skill do?

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"

How do I install Founder Pricing?

Run "npx skills add Jakeschincariol/founder-skill --skill founder-pricing" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Founder Pricing work in Cursor and Codex?

Yes. Founder Pricing uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Founder Pricing free?

Founder Pricing is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Founder Pricing?

Founder Pricing is published by Jakeschincariol in the Jakeschincariol/founder-skill repository, together with 10 other skills.

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