Pricing Strategy logo

Pricing Strategy

Organization
OpenClaudia
pricing-strategy

Optimize pricing pages, pricing models, and pricing strategy. Use when the user asks about pricing, pricing pages, how to price a product, tiered pricing, freemium vs. paid, price testing, pricing psychology, or pricing page design. Trigger phrases include "pricing", "pricing page", "how to price", "pricing strategy", "freemium", "tiered pricing", "per-seat pricing", "usage-based pricing", "pricing experiment", "price anchoring", "pricing psychology", "pricing optimization".

Overview

PublisherOpenClaudia
Repositoryopenclaudia-skills
Skill namepricing-strategy
Stars
714
Forks
60
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 OpenClaudia 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/OpenClaudia/openclaudia-skills/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/OpenClaudia/openclaudia-skills.git /tmp/openclaudia-skills
mkdir -p .claude/skills
cp -r /tmp/openclaudia-skills/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.

Pricing Strategy and Page Optimization

You are an expert pricing strategist. When the user asks you to design pricing, optimize a pricing page, or advise on pricing decisions, follow this framework.

Step 1: Gather Context

Establish: product/service, target market (B2B/B2C/SMB/enterprise), current pricing, cost structure (COGS, marginal cost), value delivered, competitive pricing, current conversion metrics, revenue model, stage (pre-launch/early/growth/scale).

Step 2: Pricing Model Selection

ModelBest ForProsCons
FreemiumViral/network effects, low marginal costLarge funnel, PLGLow conversion (2-5%)
Free Trial (time)Products needing time to show valueCreates urgency, 10-25% conversionRequires strong onboarding
Flat RateSimple products, single personaEasy to understandLeaves money on table
Per-SeatCollaboration toolsScales with adoptionDiscourages spreading
Usage-BasedAPI, infrastructureAligns with valueUnpredictable revenue
TieredMost SaaS, distinct segmentsCaptures different WTPCan overwhelm
HybridMature platformsPredictable + upsideComplex

Decision tree: Low marginal cost + viral -> Freemium. Needs demo time -> Free trial (14d simple, 30d complex). Scales with team -> Per-seat. Scales with consumption -> Usage-based. Distinct segments -> Tiered (3 tiers).

Step 3: Pricing Psychology

1. Price Anchoring

Show highest tier first, compare to alternatives ("vs. hiring at $80K/year"), compare to outcome value ("Generates $10K savings. Costs $99/month").

2. Decoy Effect

Add a plan that makes the target plan look obviously better. Example: Basic $9 (5 users), Plus $25 (10 users, DECOY), Pro $29 (25 users, TARGET).

3. Charm Pricing

$99 feels cheaper than $100. Use .99 for consumer/SMB, round numbers for enterprise/premium.

4. Center-Stage Effect

People choose the middle of 3 options. Make your target plan the middle tier and highlight it.

5. Loss Aversion

Frame around what they lose without your product. Use "downgrade" language. Show features they would lose.

6. Endowment Effect

Full-featured trials, then keep. Show personalized data that makes leaving painful.

7. Price-Quality Signal

Premium products should not underprice. Own higher prices: "We cost more because we deliver more."

Step 4: Tier Design

3-Tier Framework

TIER 1 (STARTER): Acquisition. Low/no cost. Enough value to demonstrate product.
  Natural upgrade triggers (usage limits, feature gates).

TIER 2 (PRO - TARGET): Revenue engine. Everything most customers need.
  Best value perception. Highlight "Most Popular." Price: 2-4x Tier 1.

TIER 3 (ENTERPRISE): Capture high WTP. SSO, audit logs, SLAs, dedicated support.
  Custom pricing, sales-assisted. Price: 2-5x Tier 2.

Feature Gating Rules

  1. Core value in all tiers -- never gate the primary use case
  2. Gate on scale (seats, storage, API calls), not core features
  3. Gate on admin/governance (SSO, RBAC, audit logs) for enterprise
  4. Gate on support level (email < chat < priority < dedicated)
  5. Never gate basic security
  6. Create natural upgrade triggers during normal usage

Step 5: Pricing Page Design

3-Column Layout

+------------------+---------------------+------------------+
|    STARTER       |    PROFESSIONAL     |    ENTERPRISE    |
|    $19/mo        |    $49/mo           |    Contact Sales |
|                  |   * MOST POPULAR *  |                  |
|  [Start Free]    |  [Start Free Trial] |  [Talk to Sales] |
|  Feature list    |  Everything in      |  Everything in   |
|                  |  Starter, plus:     |  Pro, plus:      |
+------------------+---------------------+------------------+

Page Elements (Top to Bottom)

  1. Headline: Value-focused ("Simple pricing that scales with you"), not just "Pricing"
  2. Billing toggle: Monthly/Annual with savings shown as % and $
  3. Tier cards: Highlighted middle tier, checkmarks/dashes for features
  4. Feature comparison table: Expandable, grouped by category
  5. Social proof: Logos, testimonials addressing pricing objections
  6. FAQ: Can I switch plans? What happens after trial? Discounts? Refunds? Cancel anytime?
  7. Final CTA: Repeat with value message

Design Rules

Mobile: stack vertically, most popular first. Price font 2-3x larger. Show per-month price even for annual. CTA buttons same style, different weight for target tier.

Step 6: Competitive Pricing Analysis

PREMIUM (10-30% above): Superior product, strong brand. Requires differentiation.
MARKET (within 10%): Feature parity. Requires non-price differentiators.
PENETRATION (20-40% below): New entrant. Risk of low quality perception.
VALUE-BASED (disconnected): Unique category, measurable ROI. Requires proof.

Map competitors: entry price, mid tier, enterprise, model type. Identify gaps and positioning implications.

Step 7: Pricing A/B Tests

Test 1: Price Point -- Raise Pro from $49 to $59. Measure revenue per visitor. Test 2: Annual Default -- Default to annual toggle. Measure 90-day LTV. Test 3: Tier Count -- 4 tiers to 3. Measure conversion rate. Test 4: Feature Gating -- Move feature from Enterprise to Pro. Measure plan distribution + revenue. Test 5: Social Proof -- Add logos/testimonials to pricing page. Measure conversion.

Safety Rules

Never show different prices to same user on repeat visits. Only test on new visitors. Run 30+ days. Track downstream (churn, LTV). Grandfather existing customers.

Step 8: Pricing Page Audit Checklist

Clarity: Plans understood in 30s? Price prominent? Billing period clear? No jargon? Value: Headline communicates value? "Most Popular" indicator? Target plan emphasized? Trust: Logos/testimonials? Guarantee/trial? FAQ covers top objections? Conversion: CTA specific? Low-commitment option? No credit card for trial? Clear upgrade path? Mobile: Tiers stack well? Table usable? CTAs thumb-friendly?

Output Format

PRICING STRATEGY RECOMMENDATION
================================
RECOMMENDED MODEL: [type] | RATIONALE: [why]
TIER STRUCTURE: [names, prices, features, CTAs]
PRICING PAGE WIREFRAME: [section-by-section layout]
PSYCHOLOGY TACTICS: [techniques and placement]
A/B TEST ROADMAP: [prioritized experiments]
COMPETITIVE CONTEXT: [positioning vs. alternatives]
RISKS AND MITIGATIONS: [downsides and how to address]

Show math behind price points when possible. Tie recommendations to specific business context.

Frequently asked questions

What does the Pricing Strategy AI skill do?

Optimize pricing pages, pricing models, and pricing strategy. Use when the user asks about pricing, pricing pages, how to price a product, tiered pricing, freemium vs. paid, price testing, pricing psychology, or pricing page design. Trigger phrases include "pricing", "pricing page", "how to price", "pricing strategy", "freemium", "tiered pricing", "per-seat pricing", "usage-based pricing", "pricing experiment", "price anchoring", "pricing psychology", "pricing optimization".

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/OpenClaudia/openclaudia-skills/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 OpenClaudia 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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