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Pricing Strategy

作者 1kalin · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install afrexai-pricing-strategy
功能描述
Analyze and optimize product or service pricing using value-based, cost-plus, competitive, and tiered models with actionable recommendations.
使用说明 (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

安全使用建议
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.
功能分析
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.
能力评估
✓ 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.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install afrexai-pricing-strategy
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /afrexai-pricing-strategy 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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
元数据
Slug afrexai-pricing-strategy
版本 1.0.0
许可证 —
累计安装 10
当前安装数 10
历史版本数 1
常见问题

Pricing Strategy 是什么？

Analyze and optimize product or service pricing using value-based, cost-plus, competitive, and tiered models with actionable recommendations. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1638 次。

如何安装 Pricing Strategy？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install afrexai-pricing-strategy」即可一键安装，无需额外配置。

Pricing Strategy 是免费的吗？

是的，Pricing Strategy 完全免费（开源免费），可自由下载、安装和使用。

Pricing Strategy 支持哪些平台？

Pricing Strategy 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Pricing Strategy？

由 1kalin（@1kalin）开发并维护，当前版本 v1.0.0。

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