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Pricing Strategy

Community
cnfeat
pricing-strategy

Help users design and optimize pricing strategies. Use when someone is setting prices for the first time, considering freemium vs paid models, optimizing monetization, dealing with willingness to pay questions, or transitioning between pricing models.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namepricing-strategy
Stars
55
Forks
6
Bundled files
1
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.

  • 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 cnfeat 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/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-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.

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.

Pricing Strategy

Help the user design and optimize pricing strategies using frameworks from 46 product leaders.

How to Help

When the user asks for help with pricing:

  1. Understand the business model - Ask about their current monetization approach and target customer segments
  2. Assess value delivery - Determine what value they're creating and for whom
  3. Identify constraints - Understand technical, market, and competitive pricing pressures
  4. Design for iteration - Help them create pricing that can evolve as they learn

Core Principles

Price is a measure of value

Madhavan Ramanujam: "When we think about price, we think about it as a measure. Like liter is a measure of volume, price is a measure of value. And when you think of it this way, it really stands for, do people actually want your product?" Use willingness to pay (WTP) as a proxy for product value and conduct WTP conversations early in the development cycle.

Never set it and forget it

Naomi Ionita: "Do not set it and forget it. I see companies do this, where they labor over designs and features... And then pricing's sort of plucked out of thin air, and then they don't revisit it." Treat pricing as a living part of the product roadmap, revisiting it every 6-12 months as new value is added.

Self-serve has a ceiling

Elena Verna: "Self-serve monetization has a cap of about $10,000. That's just how much we're able to process on the credit cards before they start getting flagged and declined." Transition to sales-led motions for contracts exceeding $10,000-$15,000 due to technical payment limits and individual spending authority.

Sample premium features in the free experience

Albert Cheng: "What if we actually sampled a number of different paid suggestions and interspersed them to free users across their writing? All of a sudden, people were seeing Grammarly as a much more powerful tool." Interspersing paid features within the free experience is more effective for conversion than keeping them hidden behind a hard paywall.

Reduce early friction to unlock success

Archie Abrams: "When you can lower the barriers to monetary friction in some form... you can actually causally change your ability to become successful, because I've given you a little bit more time to try that idea." Reducing early monetary friction can causally improve user success by extending their "runway" to find value in the product.

Prioritize roadmap by willingness to pay

Madhavan Ramanujam: "You cannot prioritize a product roadmap without having a willingness to pay conversation. If you're just prioritizing based on what you think or what you feel or technical resources, you're getting it wrong." Prioritize the 20% of features that drive 80% of the willingness to pay.

Pricing changes are two-way doors

Eeke de Milliano: "Move faster on reversible decisions like pricing by grandfathering existing users." Most pricing changes can be reversed or adjusted, especially when you protect existing customers through grandfathering.

Questions to Help Users

  • "What would customers pay for this if they had to pay today? Have you asked them directly?"
  • "What value does your product create, and for which customer segment is that value highest?"
  • "When did you last revisit your pricing? What has changed about your product since then?"
  • "What's preventing you from charging more? Is it competition, value delivery, or assumption?"
  • "How do free users experience the value of paid features today?"
  • "At what price point does your sales motion need to change from self-serve to sales-assisted?"

Common Mistakes to Flag

  • Pricing as afterthought - Setting prices based on gut feel rather than willingness to pay research
  • Never iterating - Launching with a price and never revisiting it as the product evolves
  • Hard paywalls on premium - Hiding all premium value instead of sampling it in the free experience
  • Ignoring the self-serve ceiling - Trying to close $50K deals through credit card checkout
  • Racing to the bottom - Competing on price rather than differentiating on value

Deep Dive

For all 76 insights from 46 guests, see references/guest-insights.md

Related Skills

  • retention-engagement
  • product-led-sales
  • positioning-messaging

Bundled files

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

Frequently asked questions

What does the Pricing Strategy AI skill do?

Help users design and optimize pricing strategies. Use when someone is setting prices for the first time, considering freemium vs paid models, optimizing monetization, dealing with willingness to pay questions, or transitioning between pricing models.

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/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/pricing-strategy. 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 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 cnfeat 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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