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pricing-strategy定价策略

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

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GitHub

来源数

2

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unknown

最后核验

2026-05-01

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安装方式

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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/majesticlabs-dev/majestic-marketplace
仓库路径:skills/pricing-strategy
安装命令:
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --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。

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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/majesticlabs-dev/majestic-marketplace --skill pricing-strategy

简介

用于辅助测试设计、自动化测试和用例整理,支持回归验证。

  • 适合编写单元测试、端到端测试或根据失败日志定位问题。pricing-strategy 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用时应确认项目测试框架、运行命令和夹具数据,避免误改逻辑。
  • 涉及浏览器或外部服务时,需区分本地模拟、测试环境与生产环境。
  • 安装方式:通过 npx 从 GitHub 仓库添加技能。

SKILL.md

Competitor Pricing Strategy Optimization

Audience: Businesses looking to optimize pricing based on competitive analysis and market dynamics.

Goal: Develop data-driven pricing strategy using competitor analysis, customer willingness-to-pay, and psychological pricing principles.

Information to Collect

Before analysis, gather:

  1. Product/Service: What are you pricing?
  2. Industry/Market: What space are you in?
  3. Current Pricing: Your existing price points (if any)
  4. Target Customers: Who are you selling to? (segments, company sizes, budgets)
  5. Key Competitors: Who do you compete against? (names if known)
  6. Pricing Goals: Maximize revenue, market share, or premium positioning?

Research Methodology

Use WebSearch extensively to find:

  • Competitor pricing pages and published rates
  • Industry pricing benchmark reports
  • Customer reviews mentioning price/value perception
  • Pricing psychology research for the specific industry
  • SaaS/product pricing studies and best practices
  • Market segment willingness-to-pay data

Required Deliverables

1. Competitive Pricing Analysis (5-7 Competitors)

For each competitor:

## Competitor: [Name]

**Market Position:** [Premium/Mid-market/Budget]
**Primary Audience:** [Who they target]

### Pricing Structure

| Tier | Price | Billing | Key Features | Target Segment |
|------|-------|---------|--------------|----------------|
| [Tier 1] | $X | Monthly/Annual | [Features] | [Who buys this] |
| [Tier 2] | $X | Monthly/Annual | [Features] | [Who buys this] |
| [Tier 3] | $X | Monthly/Annual | [Features] | [Who buys this] |

### Pricing Tactics Observed
- [Tactic 1: e.g., "Annual discount of 20%"]
- [Tactic 2: e.g., "Free tier with usage limits"]
- [Tactic 3: e.g., "Custom enterprise pricing"]

### Value Signals
- [How they justify their price]
- [Unique value propositions highlighted]

### Weaknesses/Opportunities
- [Gaps in their pricing you could exploit]

Competitive Pricing Matrix

CompetitorEntry PriceMid-TierEnterpriseAnnual DiscountFree Tier
[Name]$X$X$XX%Yes/No
Market Avg$X$X$XX%-

2. Value-to-Price Ratio Analysis

Value Metrics Comparison:

Feature/BenefitYour OfferingCompetitor ACompetitor BCompetitor C
[Feature 1]Yes/No/PartialYes/No/PartialYes/No/PartialYes/No/Partial

Positioning Recommendation:

  • [Where you should position based on value delivered]
  • [Price range justified by your value score]

3. Customer Willingness-to-Pay Assessment

Van Westendorp Price Sensitivity Analysis Framework:

  • Too cheap (quality concerns): Below $X
  • Cheap (good deal): $X - $X
  • Expensive (but acceptable): $X - $X
  • Too expensive (won't buy): Above $X
  • Optimal Price Point: $X

4. Recommended Pricing Tiers

## Tier 1: [Name] - $X/month

**Target Segment:** [Who this is for]
**Positioning:** [Budget/Entry/Basic]

**Included:**
- [Feature 1]
- [Feature 2]
- [Feature 3]

**Excluded (drives upgrades):**
- [Feature A]
- [Feature B]

**Margin Analysis:**
- Cost to serve: $X
- Gross margin: X%
- Customer lifetime value: $X

5. Pricing Psychology Insights

Psychological Thresholds:

ThresholdMeaningYour Opportunity
$X[Why this number matters][How to use it]

Proven Tactics for Your Industry:

  1. Charm Pricing ($X.99 vs $X)

- Effectiveness in your market: [High/Medium/Low]

  1. Anchor Pricing

- Show highest tier first: [Effectiveness]

  1. Decoy Effect

- Add middle tier to push to higher: [How to implement]

  1. Price Bundling

- Annual vs monthly display: [Savings to highlight]

6. Implementation Roadmap

Phase 1: Foundation (Week 1-2)

  • Finalize pricing tiers and structure
  • Update pricing page copy
  • Configure billing system
  • Train sales team on new pricing

Phase 2: Soft Launch (Week 3-4)

  • Test with new customers only
  • Monitor conversion rates
  • Gather early feedback

Phase 3: Full Rollout (Week 5-6)

  • Communicate changes to existing customers
  • Grandfather existing plans if applicable
  • Launch publicly

7. Expansion Revenue Strategy

Recommended Expansion Play:

ElementRecommendation
Model[Usage-based / Seat / Upsell / Add-on]
Trigger[Usage threshold / Time / Behavior signal]
Target Segment[Which tier/customer type]
Estimated LiftX% revenue expansion per customer

8. KPIs to Track

MetricCurrentTargetMeasurement
Conversion rateX%X%[How to measure]
Average revenue per user$X$X[How to measure]
Annual plan adoptionX%X%[How to measure]
Discount usage rateX%<X%[How to measure]

Quality Standards

  • Research actual prices: Use WebSearch to find real competitor pricing
  • Cite sources: Note where pricing data comes from
  • Be specific: Dollar amounts, not ranges where possible
  • Consider unit economics: Ensure recommendations are profitable
  • Account for positioning: Price signals quality and target market

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