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Install in OpenClaw
/install afrexai-pricing-strategy
Description
Analyze and optimize product or service pricing using value-based, cost-plus, competitive, and tiered models with actionable recommendations.
README (SKILL.md)
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 \x3C10% → 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
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: afrexai-pricing-strategy
Version: 1.0.0
The skill bundle is designed for pricing strategy analysis, a legitimate business function. All instructions in SKILL.md and README.md align with this stated purpose, guiding the AI agent on how to perform the analysis and what information to request. The external links provided in both markdown files are presented as informational resources related to the skill's developer (AfrexAI) and do not contain any explicit instructions for the agent to interact with them in a harmful or unauthorized manner (e.g., via `curl` or `wget`). There is no evidence of prompt injection attempts, data exfiltration, malicious execution, persistence mechanisms, or obfuscation.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install afrexai-pricing-strategy - After installation, invoke the skill by name or use
/afrexai-pricing-strategy - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Pricing Strategy Analyzer.
- Analyzes and optimizes pricing using value-based, cost-plus, competitive, and tiered models
- Includes pricing power analysis, Van Westendorp willingness-to-pay calculator, and tiered (Good/Better/Best) modeling
- Identifies common pricing mistakes and generates competitor pricing matrices
- Provides actionable recommendations with estimated revenue impact
- Supports price elasticity testing and tracks key metrics such as ACV, discounting, and expansion revenue
Metadata
Frequently Asked Questions
What is Pricing Strategy?
Analyze and optimize product or service pricing using value-based, cost-plus, competitive, and tiered models with actionable recommendations. It is an AI Agent Skill for Claude Code / OpenClaw, with 1638 downloads so far.
How do I install Pricing Strategy?
Run "/install afrexai-pricing-strategy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pricing Strategy free?
Yes, Pricing Strategy is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Pricing Strategy support?
Pricing Strategy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pricing Strategy?
It is built and maintained by 1kalin (@1kalin); the current version is v1.0.0.
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