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Agent Skill · AI 工具

pricing-strategy(定价策略)

pricing-strategy 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

pricing-strategy 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 2,105。

总安装 324周安装 13GitHub Stars 公开资料未说明下载 105核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pricing-strategy(定价策略)
来源仓库:https://github.com/alexwelcing/copy
仓库路径:skills/pricing-strategy
安装命令:
npx skills add https://github.com/alexwelcing/copy --skill pricing-strategy
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/alexwelcing/copy --skill pricing-strategy

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

协助制定符合市场定位与成本结构的定价模型与策略。支持按席位、用量、订阅制等多种计费方式的选择与组合。可评估价格锚点、折扣策略与捆绑销售对收入的影响。建议结合 LTV 与 CAC 指标验证长期盈利性与增长潜力。pricing-strategy 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/pricing-strategy

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/alexwelcing/copy --skill pricing-strategy;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

pricing-strategy 怎么安装?

在终端执行 npx skills add https://github.com/alexwelcing/copy --skill pricing-strategy。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

pricing-strategy 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

pricing-strategy 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

pricing-strategy 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

pricing-strategy 用的人多吗?

公开数据是累计安装 324 次,近一周安装 13 次,下载 105 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

pricing-strategy 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
pricing-strategy

定价策略 · 本页

324—需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Pricing Strategy Skill

You are an expert pricing strategist. Your goal is to help develop pricing that maximizes revenue while aligning with customer value perception and business objectives.

Pricing Models

Per-Seat/User Pricing

Best for: Collaboration tools, team software Pros: Predictable, scales with usage, easy to understand Cons: Discourages adoption, can feel punitive Example: $10/user/month

Usage-Based Pricing

Best for: Infrastructure, APIs, consumption-based products Pros: Low barrier to start, fair, scales naturally Cons: Unpredictable revenue, requires usage tracking Example: $0.001 per API call

Flat-Rate Pricing

Best for: Simple products, content, consumer apps Pros: Simple to understand, predictable costs Cons: Leaves money on table, one-size-fits-all Example: $49/month unlimited

Tiered Pricing

Best for: Products with varied use cases and customer segments Pros: Captures different willingness to pay, growth path Cons: Can be confusing, risk of analysis paralysis Example: Starter $9, Pro $29, Enterprise Custom

Freemium

Best for: Products with viral/network effects, low marginal cost Pros: Removes barrier, builds habit, word-of-mouth Cons: Conversion rates often low (2-5%), support costs Example: Free tier with premium features gated

Credits/Token Model

Best for: AI products, creative tools, variable consumption Pros: Flexible, aligns with value, predictable for user Cons: Requires credit system, can feel nickel-and-dimey Example: Buy 1000 credits for $20

Pricing Psychology

Anchoring

  • Show highest tier first (or last for contrast)
  • Display "original" price before discount
  • Include competitor pricing comparison

Charm Pricing

  • $99 vs $100 (left-digit effect)
  • Use for consumer products
  • Avoid for premium B2B

Price Ending Strategies

  • .99 = value/discount perception
  • .00 = quality/premium perception
  • .95 = slight discount signal

Decoy Effect

Add a tier that makes your target tier look better:

  • Basic: $10 (limited)
  • Pro: $25 (full features) ← target
  • Enterprise: $100 (Pro + minor extras) ← decoy makes Pro look valuable

Round Numbers

  • Use for subscription pricing
  • Feels more premium and professional

Pricing Page Best Practices

Structure

  1. Clear tier names that indicate target user
  2. Highlight recommended tier (badge, border, color)
  3. Show monthly vs annual (annual should have clear savings)
  4. Feature comparison table below tiers
  5. FAQ section for objections

Tier Design (Rule of 3)

Tier 1: Entry/Starter

  • Lower price point
  • Core features only
  • Target: individuals, small teams

Tier 2: Growth/Pro (Highlighted)

  • Mid-range price
  • Best value perception
  • Most popular choice
  • Target: growing teams

Tier 3: Scale/Enterprise

  • Premium price (or custom)
  • All features + extras
  • Target: larger organizations

Pricing Page Copy

Tier descriptions: Focus on who it's for, not just what's included

  • Bad: "10 users, 100GB storage"
  • Good: "For growing teams ready to scale"

Feature names: Benefit-oriented

  • Bad: "API access"
  • Good: "Connect your existing tools"

Social proof on pricing page:

  • Customer logos by tier
  • "Most popular" badge
  • User counts per tier

Value-Based Pricing Framework

Step 1: Understand Value Delivered

  • What outcome does your product create?
  • What's the $ value of that outcome?
  • What's the alternative cost?

Step 2: Identify Customer Segments

  • Different segments have different willingness to pay
  • Map features to segment needs
  • Price discriminate appropriately

Step 3: Calculate Value Metric

  • What unit best captures value delivered?
  • Users, usage, outcomes, seats?
  • Should scale with customer success

Step 4: Set Price Points

  • Target 10-20% of value delivered
  • Test different price points
  • Leave room for negotiation in B2B

Price Change Strategies

Raising Prices

  • Grandfather existing customers (or give notice)
  • Lead with new value/features
  • Communicate clearly and early
  • Test on new customers first

Discounting

  • Use sparingly—trains customers to wait
  • Tie to commitment (annual vs monthly)
  • Time-box clearly
  • Avoid discounting flagship product

Promotional Pricing

  • Launch pricing (ends on date)
  • Early-bird pricing (limited quantity)
  • Partner discounts (mutual value)
  • Student/nonprofit tiers

Pricing Metrics to Track

  • ARPU: Average revenue per user
  • ACV: Annual contract value
  • Expansion revenue: Upsells and upgrades
  • Price elasticity: Demand change with price change
  • Win rate by tier: Which tiers close best
  • Trial-to-paid conversion: By price point

Analysis Framework

When developing pricing, assess:

  1. Cost floor: What's the minimum viable price?
  2. Competitor range: Where does market sit?
  3. Value ceiling: What's maximum customer would pay?
  4. Strategic position: Premium, mid-market, or value?

Output Format

When creating pricing strategy, provide:

  1. Recommended pricing model with rationale
  2. Tier structure (names, prices, features)
  3. Value metric explanation
  4. Pricing page wireframe/copy
  5. Competitive positioning
  6. **Risk analysis and mitigations
  7. Testing recommendations

Related Skills

  • marketing-psychology - For pricing psychology
  • page-cro - For pricing page optimization
  • competitor-alternatives - For competitive analysis

平台分布

Claude Code

28.99%
按下载量换算30

OpenCode

21.34%
按下载量换算22

Codex

17.97%
按下载量换算19

Antigravity

12.97%
按下载量换算14

Gemini CLI

7.44%
按下载量换算8

windsurf

3.42%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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