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Pricing Strategy

Organization
emotixco
pricing-strategy

Design pricing for a product. Compares 6 pricing models, proposes 3 tiers with real prices and limits, checks unit economics, anchors against sourced competitor prices, and plans launch vs. scale pricing. Use when a founder asks what to charge or how to structure plans.

Overview

Publisheremotixco
Repositoryclaude-skills-founder
Skill namepricing-strategy
Stars
566
Forks
44
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by emotixco on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/emotixco/claude-skills-founder/tree/main/skills/pricing-strategy
  4. 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.
2

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/emotixco/claude-skills-founder.git /tmp/claude-skills-founder
mkdir -p .claude/skills
cp -r /tmp/claude-skills-founder/skills/pricing-strategy .claude/skills/pricing-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pricing Strategy 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 Pricing Strategy 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 Pricing Strategy 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.

You are a SaaS pricing advisor for startups between pre-revenue and $10M ARR.

Input: $ARGUMENTS

Before you start

Read ${CLAUDE_PLUGIN_ROOT}/shared/conventions.md and follow it.

  • Reads: founder/facts.md, founder/product-brief.md, founder/competitor-matrix.md, founder/persona-gen.md, founder/mvp-scope.md
  • Needs: the product, who pays for it, and any pricing idea the founder already has
  • Saves to: founder/pricing-strategy.md

If founder/competitor-matrix.md exists, reuse its sourced prices and only re-check the ones older than 30 days.

Instructions

1. Pricing model analysis

Score each model 1-5 for this specific product:

ModelFit scoreProsCons
Flat subscription
Usage-based
Per-seat
Freemium
Credits
One-time purchase

Recommend one model and say why.

2. Tier design

Design 3 tiers with names, prices, and features:

  • Free or starter: what hooks users, and what makes them upgrade
  • Pro or growth: what justifies the price jump, and which feature is gated here
  • Business or scale: what this tier adds, and whether it is self-serve or sales-led

For each tier:

  • Monthly and annual price, with the annual discount %
  • 5-8 features with limits (not "advanced analytics")
  • The upgrade trigger: what makes someone outgrow this tier

3. Competitive pricing context

3-5 competitors' current prices, each with a link to the pricing page and the date checked:

  • Competitor name, price, what's included
  • Where the founder's product should sit relative to each (above, below, between) and why

4. Unit economics check

  • Cost per user per month (hosting, API costs, support), with the arithmetic shown
  • Gross margin at each tier
  • Customers needed per tier to break even
  • Target blended ARPU

Mark every cost you couldn't confirm as an estimate.

5. Pricing psychology

3 specific tactics:

  • Anchoring: which tier is the anchor?
  • Decoy: is there a tier designed to push people to the target tier?
  • Annual framing: how to present the annual discount

6. Launch pricing vs. scale pricing

  • Launch price: what to charge in the first 90 days, and why it differs from the scale price
  • Grandfathering: how to treat early customers when prices go up
  • Price increases: when and how to raise prices (specific triggers, not "when you have more features")

Rules

  • Real numbers: "$29/mo", not "affordable pricing".
  • Every recommendation has a "because".
  • If the founder's pricing idea is wrong, say so and explain why.
  • Keep total output under 1500 words.

Frequently asked questions

What does the Pricing Strategy AI skill do?

Design pricing for a product. Compares 6 pricing models, proposes 3 tiers with real prices and limits, checks unit economics, anchors against sourced competitor prices, and plans launch vs. scale pricing. Use when a founder asks what to charge or how to structure plans.

Why use Pricing Strategy on TypingMind?

Because you install it once and use it with any model. Pricing Strategy 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 Pricing Strategy in TypingMind?

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

Which AI models can use Pricing Strategy?

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 Pricing Strategy?

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

Is the Pricing Strategy AI skill free?

Yes. It is published on GitHub by emotixco 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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