Founder Pricing

CommunityPopular

Jakeschincariol

founder-pricing

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.

Overview

Publisher	Jakeschincariol
Repository	`founder-skill`
Skill name	`founder-pricing`
Stars	1.5K
Forks	194
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Jakeschincariol on GitHub. Read the source before you install it.

Installation

Install the Founder Pricing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Jakeschincariol/founder-skill/tree/main/skills/founder-pricing
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Jakeschincariol/founder-skill.git /tmp/founder-skill
mkdir -p .claude/skills
cp -r /tmp/founder-skill/skills/founder-pricing .claude/skills/founder-pricing

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Founder Pricing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Founder Pricing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Founder Pricing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

bash
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:

bash
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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

van_westendorp.py7 KB

Frequently asked questions

What does the Founder Pricing AI skill do?

Why use Founder Pricing on TypingMind?

Because you install it once and use it with any model. Founder Pricing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Founder Pricing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/founder-skill/tree/main/skills/founder-pricing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Founder Pricing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Founder Pricing?

As many as you like. As long as a model supports skills, you can use Founder Pricing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Founder Pricing AI skill free?

Yes. It is published on GitHub by Jakeschincariol under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

founder-pricing

Step 1: what buyers said

Step 2: what competitors charge

Step 3: what the business needs

Step 4: decide

Rules

Output

Bundled files

Frequently asked questions

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