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pricing-strategy定价策略

Agent Skill

pricing-strategy 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

212

周安装

9

GitHub Stars

283

下载量

74
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

2

许可证

unknown

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/mohitagw15856/pm-claude-skills
仓库路径:skills/pricing-strategy
安装命令:
npx skills add https://github.com/mohitagw15856/pm-claude-skills --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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill pricing-strategy

简介

pricing-strategy 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用该技能。
  • 安装前需确认权限范围和维护状态,注意可能触发联网或文件读写操作。
  • 建议结合原始 README 进一步核验具体用法和功能边界。

SKILL.md

Pricing Strategy Skill

Build pricing that reflects value delivered — not cost to build. Structure every pricing decision with customer segmentation, value metric identification, competitive context, and a packaging recommendation.

Pricing Foundations

Three questions to answer before any pricing decision:

  1. Who is our buyer? (Role, company size, willingness to pay)
  2. What value do we deliver? (Quantifiable outcome — time saved, revenue generated, risk reduced)
  3. What is our pricing model? (Per seat, usage-based, flat, hybrid)

Pricing Models

ModelBest ForRisk
Per SeatCollaboration tools, team softwareDisincentivises adoption as team grows
Usage-BasedAPIs, infrastructure, consumption toolsRevenue unpredictability for both sides
Flat RateSimple tools, early-stageLeaves money on table from power users
TieredProducts with clear user segmentsFeature gatekeeping frustrates users
FreemiumViral/PLG products with low marginal costConversion to paid is hard to engineer
Value-BasedEnterprise, outcomes-driven productsRequires strong ROI story

Freemium Decision Framework

Use freemium when:

  • ✅ Marginal cost per free user is near zero
  • ✅ Product is inherently viral (network effects or sharing)
  • ✅ Free tier creates genuine value (not just a demo)
  • ✅ Clear upgrade trigger exists (feature, volume, or team size)
  • ✅ Conversion benchmark is realistic (2–5% free-to-paid is typical)

Avoid freemium when:

  • ❌ Support cost per free user is high
  • ❌ No natural upgrade trigger in the product
  • ❌ Core value requires features you'd need to gate

Packaging / Tiering Framework

Recommended 3-tier structure for SaaS:

TierTargetPrice SignalKey FeaturesLock-in Mechanism
Free / StarterIndividual, early discovery$0Core value, usage-limitedInvite colleagues, export limit
Pro / GrowthSMB, growing teams$[X]/seat/moFull features, higher limitsTeam collaboration, integrations
Business / EnterpriseMid-market, enterprise$[X]/seat/mo or customAdmin, SSO, SLAs, dedicated supportSecurity, compliance, volume

Tier design rules:

  • Each tier should be genuinely sufficient for its target segment
  • The upgrade trigger should be felt naturally — not manufactured
  • Price jumps of 3–5x between tiers are normal and defensible

Competitive Pricing Context

CompetitorModelPriceKey Differentiator
[Name][Model][Price][What they lead with]

Positioning options:

  • Premium: Price 20–40% above market. Justify with enterprise features, support, or brand.
  • Parity: Match the market leader. Win on product or distribution.
  • Value: Price below market. Win on volume. Dangerous without strong unit economics.

Output Format

Pricing Strategy Recommendation — [Product] — [Date]

Current State: [What pricing exists today, if any] Problem to Solve: [Why pricing is being reviewed]

Recommended Pricing Model: [Model name + rationale]

Value Metric: [The single unit that scales with customer value — e.g., "active users", "API calls", "documents processed"]

Proposed Tiers:

[Table using 3-tier structure above]

Free-to-Paid Upgrade Trigger: [Specific moment or threshold that creates natural upgrade pressure]

Competitive Position: [Premium / Parity / Value + reasoning]

Pricing Change Rollout (if applicable):

  • Grandfathering: [Yes / No — recommendation and rationale]
  • Communication plan: [How to tell customers + timing]
  • Rollback plan: [Under what conditions you'd revert]

Risks:

  • [Risk] → Mitigation: [Action]

Metrics to Monitor Post-Change:

  • Conversion rate (free to paid)
  • Churn rate by tier
  • Average revenue per user (ARPU)
  • Expansion revenue

Guidelines

  • Never price based on cost — price based on value delivered to the customer
  • Always A/B test price changes where possible; use geographic holdouts if A/B isn't feasible
  • Recommend annual pricing with 15–20% discount — improves cash flow and reduces churn
  • If enterprise pricing is "contact us", recommend adding a price floor to qualify inbound

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

能力概览

能力 1

按任务关键词查找相关 Skills

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

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。

平台分布

Codex

36.67%
按下载量换算27

Claude

27.15%
按下载量换算20

Cursor

20.5%
按下载量换算15

Gemini CLI

9.41%
按下载量换算7

安全审计

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通过

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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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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