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pricing-strategy定价策略

Agent Skill

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。

总安装

324

周安装

13

GitHub Stars

公开资料未说明

下载量

105
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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Claude Code

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17.97%
按下载量换算19

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12.97%
按下载量换算14

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7.44%
按下载量换算8

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3.42%
按下载量换算4

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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

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来源信息

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