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Pricing Strategist

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ognjengt
pricing-strategist

Builds comprehensive pricing strategies by reading business context and asking targeted questions interactively. Use when user needs pricing plans, tier structures, price points, pricing model recommendations, or any pricing-related strategy for their product or service.

Overview

Publisherognjengt
Repositoryfounder-skills
Skill namepricing-strategist
Stars
583
Forks
67
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 ognjengt on GitHub. Read the source before you install it.

Installation

Install the Pricing Strategist 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/ognjengt/founder-skills/tree/main/skills/pricing-strategist
  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/ognjengt/founder-skills.git /tmp/founder-skills
mkdir -p .claude/skills
cp -r /tmp/founder-skills/skills/pricing-strategist .claude/skills/pricing-strategist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pricing Strategist 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 Strategist 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 Strategist 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 Strategist

Purpose

Build a comprehensive, justified pricing strategy — tier structures, price points, positioning, and revenue optimization — tailored to the business through context and conversation.


Execution Logic

Check $ARGUMENTS first to determine execution mode:

If $ARGUMENTS is empty or not provided:

Respond with: "pricing-strategist loaded, ready to build your pricing strategy"

Then wait for the user to provide context in the next message.

If $ARGUMENTS contains content:

Proceed immediately to Task Execution (skip the "loaded" message).


Task Execution

1. MANDATORY: Read FOUNDER_CONTEXT.md

BLOCKING REQUIREMENT — DO NOT SKIP THIS STEP

Before doing ANYTHING else, read FOUNDER_CONTEXT.md from the project root. Extract everything relevant to pricing:

  • Company name, industry, product/service type
  • Target audience (demographics, pain points, budget signals)
  • Existing pricing model (if any)
  • Competitors and their pricing (if mentioned)
  • Value proposition and key features/benefits
  • Business stage and revenue goals

DO NOT PROCEED to Step 2 until this file has been read.

2. Determine Which Questions to Ask

Cross-reference what FOUNDER_CONTEXT.md already provides against the Question Bank below. Only ask questions where the answer is genuinely missing or unclear. Never ask something the context already answers.

Question Bank (priority order):

#QuestionWhy it mattersSkip if...
1B2B or B2C?Changes deal size, tier logic, sales cycle, everythingTarget audience section makes it obvious
2What pricing model do you prefer or want to avoid? (subscription, one-time, usage-based, freemium, hybrid)Determines the entire structurePricing model already stated in context
3What's the primary value metric that scales with usage? (seats, API calls, storage, projects, transactions, etc.)Drives tier differentiation and upgrade logicProduct type + features make it obvious
4Target gross margin range? (60-70%, 70-80%, 80%+, not sure)Sets the floor for every price pointA number or range is already given
5How price-sensitive is your target customer? (very sensitive, moderate, willing to pay premium)Calibrates price positioning and tier gapsAudience detail + industry norms make it clear
6Who are your closest competitors and how do they price?Market anchoring — prevents under or over pricingCompetitors section is filled
7What's your current stage or revenue target? (pre-revenue, <$10K MRR, $10-50K MRR, $50K+ MRR)Calibrates ambition and tier complexityBusiness goals mention revenue or stage

Use AskUserQuestion to ask up to 4 questions per batch. Ask the highest-priority unanswered questions first. If the first batch gives you enough to build a confident strategy, stop. Maximum 7 questions total, but fewer is better — stop as soon as you can build a strong strategy with what you have.

3. Determine Strategy Type

Based on all collected inputs, decide the structure. Make this decision yourself — do not ask the user. Explain why in the output.

ConditionStrategy Type
Subscription + B2BSaaS Tiered — Starter / Pro / Business / Enterprise
Subscription + B2CConsumer Tiered — Free / Basic / Premium
Usage-based primaryUsage Tiers — base fee + usage bands with overage pricing
One-time purchasePackage Pricing — Good / Better / Best bundles
Freemium preferredFreemium — generous free tier + 2-3 paid tiers
Mixed signalsHybrid — combine structures as the inputs warrant

4. Build the Pricing Strategy

For each tier, define:

  • Plan name — descriptive, not generic. "Starter" beats "Plan A". "Growth" beats "Mid".
  • Price point — monthly AND annual (annual ≈ 20% off monthly). Use specific numbers.
  • Price justification — why this number. Anchor to: competitor benchmarks, value delivered, margin targets, or customer willingness to pay. Never leave a price unjustified.
  • Feature set — what's in, and critically, what's deliberately left out to drive upgrades.
  • Target segment — the specific customer who buys this tier and why.

5. Add the Strategic Layer

Beyond the tiers:

  • Positioning — where this sits vs. competitors (premium, mid-market, value leader, underdog)
  • Psychological tactics used — name them and explain why each one was chosen (charm pricing, anchoring, decoy effect, loss aversion in annual vs. monthly, etc.)
  • Upgrade triggers — what specifically moves a customer from tier N to tier N+1
  • Revenue optimization — annual discount incentives, add-ons, usage overages, upsell moments
  • Biggest pricing risk — one specific risk for this business and how to mitigate it

6. Format and Verify

  • Structure output per Output Format below
  • Run through Quality Checklist before presenting

Pricing Principles

Hard constraints. These exist because bad pricing destroys margins or kills growth.

  • Price on value delivered. Never on cost to build.
  • Every tier must have a clear reason to exist. If no real customer would buy it, cut it.
  • The middle tier is the hero. Design the strategy so most customers land there.
  • Annual pricing should feel like a no-brainer — 20-25% off. Monthly is the convenience premium.
  • Never show more than 4 tiers. Paradox of choice kills conversion at the pricing page.
  • Enterprise = "contact sales" unless the business is pre-revenue. Pre-revenue can skip Enterprise or price it transparently.
  • Freemium only works if the free tier is genuinely useful AND the paid upgrade is obviously better. A crippled free tier is worse than no free tier.
  • Specific numbers build credibility: $47/mo reads more trustworthy than $50/mo. Use this deliberately — not on every price point, but on the hero tier.
  • B2B + deal size above $200/mo → seat-based pricing is almost always correct.
  • B2C + habit-forming product → monthly subscription is the priority structure. Annual is secondary.
  • Price anchoring matters. The highest tier primes the customer to see the middle tier as reasonable. Design for that.

Output Format

markdown
## Pricing Strategy for [Company Name]

**Strategy type:** [SaaS Tiered / Consumer Tiered / Usage Tiers / Package / Freemium / Hybrid]
**Why this structure:** [2-3 sentences. Why this model, not another.]

---

### [Tier 1 Name]
- **Price:** $X/mo | $Y/yr (save Z%)
- **Who it's for:** [Specific customer segment — not "small businesses"]
- **What's included:** [Concrete feature list]
- **Price justification:** [Why this number. Anchored to what.]

### [Tier 2 Name]
- **Price:** $X/mo | $Y/yr (save Z%)
- **Who it's for:** [Specific segment]
- **What's included:** [Feature list — highlight what's new vs. Tier 1]
- **Price justification:** [Why this number]

### [Tier 3 Name]
[same structure]

---

### Positioning & Psychology
- **Market position:** [Where you sit vs. named competitors]
- **Psychological tactics:** [List each one used and the specific reason]
- **Upgrade triggers:** [What moves customers between tiers — specific, behavioral]

### Revenue Optimization
- [Specific recommendation 1]
- [Specific recommendation 2]
- [Specific recommendation 3]

### Biggest Pricing Risk
[One specific risk for this business. Not generic. How to see it coming and what to do.]

Quality Checklist (Self-Verification)

Pre-Execution Check

  • I read FOUNDER_CONTEXT.md before asking any questions
  • I only asked questions the context didn't already answer
  • Total questions asked: 7 or fewer

Strategy Check

  • Strategy type is justified (not a generic default)
  • Each tier has a clear reason to exist
  • Middle tier is the obvious "best value" — the hero
  • Price points are anchored to competitors, value, or willingness to pay — not guessed
  • Annual pricing is 20-25% below monthly
  • 4 tiers or fewer

Pricing Principles Compliance

  • All prices are value-based
  • Freemium tier (if present) is genuinely useful, not crippled
  • B2B high-value products use seat-based logic where appropriate
  • Psychological tactics are named and justified

Output Check

  • Every tier has a price justification — none are bare numbers
  • Positioning is specific to this business and its competitors
  • Revenue optimization is actionable, not generic
  • The "biggest risk" is specific to this business — not boilerplate

If ANY check fails → revise before presenting.


Defaults & Assumptions

Use these unless the user overrides:

  • Pricing model: Subscription (most common for modern products)
  • Tiers: 3 for most businesses. 4 only if B2B with a clear Enterprise segment.
  • Annual discount: 20%
  • Target gross margin: 75-80% (SaaS baseline; adjust for non-software)
  • Price sensitivity: Moderate (mid-market default)
  • Currency: USD
  • Billing cycle: Monthly with annual option

Document any assumptions made in the output.

Frequently asked questions

What does the Pricing Strategist AI skill do?

Builds comprehensive pricing strategies by reading business context and asking targeted questions interactively. Use when user needs pricing plans, tier structures, price points, pricing model recommendations, or any pricing-related strategy for their product or service.

Why use Pricing Strategist on TypingMind?

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

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

Which AI models can use Pricing Strategist?

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 Strategist?

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

Is the Pricing Strategist AI skill free?

Yes. It is published on GitHub by ognjengt 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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