Pricing Strategy

Analyze and optimize product or service pricing using value-based, cost-plus, competitive, and tiered models with actionable recommendations.

Security Scan

This instruction-only skill is internally consistent with its stated purpose (pricing analysis) and does not request credentials, installs, or unexpected system access.

Purpose & Capability

The name/description match the SKILL.md content: frameworks (value-based, cost-plus, tiered), willingness-to-pay, competitor matrices and revenue impact modelling are all appropriate for a pricing-analysis skill. No unrelated capabilities or credentials are requested.

Instruction Scope

Runtime instructions ask for pricing inputs (current price, target segment, competitors, costs, conversion rates) which are necessary for the task. The instructions do not direct the agent to read system files, environment variables, or send data to unexpected endpoints. External resources are cited but only as links.

Install Mechanism

No install spec and no code files are present; this is instruction-only, which minimizes disk/exec risk. The provided external links point to a GitHub Pages domain, not an executable download.

Credentials

The skill requests no environment variables, credentials, or config paths. The inputs it asks the user to provide are business data (pricing, costs, competitors), which are proportionate to the stated functionality.

Persistence & Privilege

always is false and the skill does not request elevated or persistent system presence. Model invocation is allowed (platform default) but the skill itself does not request special privileges or modify other skill settings.

Assessment

This skill appears coherent and low-risk from a platform/security perspective, but note: (1) you'll be asked to provide sensitive business data (prices, costs, conversion rates, competitor info) — only share what you are comfortable exposing; (2) the README/SKILL.md links point to external pages (afrexai-cto.github.io) including paid 'context packs'—verify those sites before clicking or paying; (3) because the skill can be invoked autonomously by the agent (platform default), review the agent's permissions and what inputs you allow the agent to submit if you integrate this into an automated workflow. If you want higher assurance, ask the publisher for an explicit privacy/data-handling statement or a version with no external links to paid resources.

Pricing Strategy Analyzer

Analyze and optimize pricing for any product or service. Covers value-based, cost-plus, competitive, and tiered pricing models.

What It Does

• Runs pricing power analysis (1% price increase = 12.5% profit increase for most businesses)
• Calculates willingness-to-pay ranges using Van Westendorp methodology
• Models tier structures (Good/Better/Best) with anchor pricing
• Identifies pricing mistakes: leaving money on table, racing to bottom, ignoring segments
• Generates competitor pricing matrices
• Produces actionable pricing recommendations with revenue impact estimates

Usage

Ask your agent: "Analyze pricing for [product/service]" or "Help me set pricing for [new offering]"

Provide:

• Current pricing (if any)
• Target customer segment
• Key competitors and their pricing
• Cost structure (fixed + variable)
• Current conversion rate and volume

The agent will return a full pricing analysis with specific recommendations and projected revenue impact.

Pricing Frameworks Included

Value-Based Pricing

Calculate price based on quantified customer value, not your costs. The #1 pricing mistake is anchoring to cost instead of value delivered.

Tiered Pricing (Good/Better/Best)

• Good: Entry point, captures price-sensitive segment (60-70% of value)
• Better: Sweet spot, where most revenue comes from (85-90% of value)
• Best: Premium anchor that makes Better look reasonable (100%+ of value)

Competitive Positioning

• Premium (20-50% above market): requires clear differentiation
• Parity (±10%): compete on features/experience
• Penetration (20-40% below): volume play, requires cost advantage

Price Elasticity Quick Test

• Drop price 10%, measure volume change
• If volume increases <10% → you have pricing power, raise prices
• If volume increases >15% → you're in elastic territory, optimize for volume

Key Metrics to Track

• ACV (Annual Contract Value) — are deals getting bigger or smaller?
• Discount frequency — if >30% of deals need discounts, your list price is wrong
• Time-to-close by price point — longer cycles at higher prices may still be more profitable
• Expansion revenue % — best signal that your pricing captures ongoing value

Resources

• AI Revenue Leak Calculator — Find where you're losing money
• AI Agent Context Packs — Industry-specific agent configs ($47/pack)
• Agent Setup Wizard — Get your AI agent running in minutes