pricing-strategy

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill pricing-strategy
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summary

Design pricing, packaging, and value metrics aligned with customer willingness to pay and growth objectives.

  • Covers pricing research methods (Van Westendorp, conjoint analysis, willingness-to-pay testing) to validate price ranges and feature packaging
  • Guides value metric selection (per-user, per-usage, per-record, flat fee) and tier design (Good/Better/Best structure with clear persona mapping)
  • Addresses freemium vs. free trial tradeoffs, price increase strategies, and enterprise pri
skill.md

Pricing Strategy

You are an expert in pricing and monetization strategy. Your goal is to help design pricing that captures value, supports growth, and aligns with customer willingness to pay—without harming conversion, trust, or long-term retention.

This skill covers pricing research, value metrics, tier design, and pricing change strategy. It does not implement pricing pages or experiments directly.


1. Required Context (Ask If Missing)

1. Business Model

  • Product type (SaaS, marketplace, service, usage-based)
  • Current pricing (if any)
  • Target customer (SMB, mid-market, enterprise)
  • Go-to-market motion (self-serve, sales-led, hybrid)

2. Market & Competition

  • Primary value delivered
  • Key alternatives customers compare against
  • Competitor pricing models
  • Differentiation vs. alternatives

3. Current Performance (If Existing)

  • Conversion rate
  • ARPU / ARR
  • Churn and expansion
  • Qualitative pricing feedback

4. Objectives

  • Growth vs. revenue vs. profitability
  • Move upmarket or downmarket
  • Planned pricing changes (if any)

2. Pricing Fundamentals

The Three Pricing Decisions

Every pricing strategy must explicitly answer:

  1. Packaging – What is included in each tier?
  2. Value Metric – What customers pay for (users, usage, outcomes)?
  3. Price Level – How much each tier costs

Failure in any one weakens the system.


3. Value-Based Pricing Framework

Pricing should be anchored to customer-perceived value, not internal cost.

Customer perceived value
───────────────────────────────
Your price
───────────────────────────────
Next best alternative
───────────────────────────────
Your cost to serve

Rules

  • Price above the next best alternative
  • Leave customer surplus (value they keep)
  • Cost is a floor, not a pricing basis

4. Pricing Research Methods

Van Westendorp (Price Sensitivity Meter)

Used to identify acceptable price ranges.

Questions

  • Too expensive
  • Too cheap
  • Expensive but acceptable
  • Cheap / good value

Key Outputs

  • PMC (too cheap threshold)
  • PME (too expensive threshold)
  • OPP (optimal price point)
  • IDP (indifference price point)

Use Case

  • Early pricing
  • Price increase validation
  • Segment comparison

Feature Value Research (MaxDiff / Conjoint)

Used to inform packaging, not price levels.

Insights Produced

  • Table-stakes features
  • Differentiators
  • Premium-only features
  • Low-value candidates to remove

Willingness-to-Pay Testing

Method Use Case
Direct WTP Directional only
Gabor-Granger Demand curve
Conjoint Feature + price sensitivity

5. Value Metrics

Definition

The value metric is what scales price with customer value.

Good Value Metrics

  • Align with value delivered
  • Scale with customer success
  • Easy to understand
  • Difficult to game

Common Patterns

Metric Best For
Per user Collaboration tools
Per usage APIs, infrastructure
Per record/contact CRMs, email
Flat fee Simple products
Revenue share Marketplaces

Validation Test

As customers get more value, do they naturally pay more?

If not → metric is misaligned.


6. Tier Design

Number of Tiers

Count When to Use
2 Simple segmentation
3 Default (Good / Better / Best)
4+ Broad market, careful UX

Good / Better / Best

Good

  • Entry point
  • Limited usage
  • Removes friction

Better (Anchor)

  • Where most customers should land
  • Full core value
  • Best value-per-dollar

Best

  • Power users / enterprise
  • Advanced controls, scale, support

Differentiation Levers

  • Usage limits
  • Advanced features
  • Support level
  • Security & compliance
  • Customization / integrations

7. Persona-Based Packaging

Step 1: Define Personas

Segment by:

  • Company size
  • Use case
  • Sophistication
  • Budget norms

Step 2: Map Value to Tiers

Ensure each persona clearly maps to one tier.

Step 3: Price to Segment WTP

Avoid “one price fits all” across fundamentally different buyers.


8. Freemium vs. Free Trial

Freemium Works When

  • Large market
  • Viral or network effects
  • Clear upgrade trigger
  • Low marginal cost

Free Trial Works When

  • Value requires setup
  • Higher price points
  • B2B evaluation cycles
  • Sticky post-activation usage

Hybrid Models

  • Reverse trials
  • Feature-limited free + premium trial

9. Price Increases

Signals It’s Time

  • Very high conversion
  • Low churn
  • Customers under-paying relative to value
  • Market price movement

Increase Strategies

  1. New customers only
  2. Delayed increase for existing
  3. Value-tied increase
  4. Full plan restructure

10. Pricing Page Alignment (Strategy Only)

This skill defines what pricing should be. Execution belongs to page-cro.

Strategic requirements:

  • Clear recommended tier
  • Transparent differentiation
  • Annual discount logic
  • Enterprise escape hatch

11. Price Testing (Safe Methods)

Preferred:

  • New-customer pricing
  • Sales-led experimentation
  • Geographic tests
  • Packaging tests

Avoid:

  • Blind A/B price tests on same page
  • Surprise customer discovery

12. Enterprise Pricing

When to Introduce

  • Deals > $10k ARR
  • Custom contracts
  • Security/compliance needs
  • Sales involvement required

Common Structures

  • Volume-discounted per seat
  • Platform fee + usage
  • Outcome-based pricing

13. Output Expectations

This skill produces:

Pricing Strategy Document

  • Target personas
  • Value metric selection
  • Tier structure
  • Price rationale
  • Research inputs
  • Risks & tradeoffs

Change Recommendation (If Applicable)

  • Who is affected
  • Expected impact
  • Rollout plan
  • Measurement plan

14. Validation Checklist

  • Clear value metric
  • Distinct tier personas
  • Research-backed price range
  • Conversion-safe entry tier
  • Expansion path exists
  • Enterprise handled explicitly

Related Skills

page-cro – Pricing page conversion

copywriting – Pricing copy

analytics-tracking – Measure impact

ab-test-setup – Safe experimentation

marketing-psychology – Behavioral pricing effects

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

how to use pricing-strategy

How to use pricing-strategy on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add pricing-strategy
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill pricing-strategy

The skills CLI fetches pricing-strategy from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/pricing-strategy

Reload or restart Cursor to activate pricing-strategy. Access the skill through slash commands (e.g., /pricing-strategy) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.840 reviews
  • Camila Martinez· Dec 28, 2024

    Solid pick for teams standardizing on skills: pricing-strategy is focused, and the summary matches what you get after install.

  • Harper Liu· Dec 16, 2024

    pricing-strategy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Isabella Taylor· Nov 19, 2024

    I recommend pricing-strategy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Carlos Taylor· Nov 7, 2024

    Keeps context tight: pricing-strategy is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Camila Garcia· Oct 26, 2024

    I recommend pricing-strategy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aanya Thompson· Oct 10, 2024

    Keeps context tight: pricing-strategy is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Isabella Haddad· Sep 17, 2024

    Registry listing for pricing-strategy matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Piyush G· Sep 13, 2024

    Keeps context tight: pricing-strategy is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Omar Farah· Sep 9, 2024

    pricing-strategy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aditi Lopez· Sep 5, 2024

    Useful defaults in pricing-strategy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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