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pricingpricing 开发

Agent Skill

pricing 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

44,693

周安装

1,881

GitHub Stars

2

下载量

15,650
OpenClaw

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

MIT-0

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(pricing 开发)
来源仓库:https://github.com/ivangdavila/pricing
安装命令:
openclaw skills install pricing
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 OpenClaw 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。

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openclaw skills install pricing

简介

pricing 协助设计产品、服务或订阅的定价策略,以提高转化率和商业价值。

  • 适用于电商、SaaS 或咨询服务等需要精细化收益管理的业务场景。
  • 结合市场数据和用户行为分析,输出兼顾竞争力与利润的结构化方案。
  • 安装命令:openclaw skills install pricing;需输入相关产品信息和目标指标。
  • 建议人工复核建议合理性,避免过度依赖模型假设导致偏差。

SKILL.md

name
Pricing
description
Design pricing strategies for products, services, and subscriptions that maximize conversion and value.
metadata
{"clawdbot":{"emoji":"💰","os":["linux","darwin","win32"]}}

Pricing Psychology

  • Charm pricing: $9.99 vs $10—left digit effect, perceived as "nine dollars"
  • Round numbers for premium: $100 vs $99.99—signals quality, less "deal hunting"
  • Remove currency symbols when possible—reduces pain of paying
  • Smaller font for decimals—de-emphasizes the cents
  • Price per unit can feel smaller—$1/day vs $365/year

Anchoring

  • Show higher price first—makes subsequent prices feel reasonable
  • Original price crossed out—anchors value, discount feels real
  • Premium tier visible—makes middle tier look affordable
  • Competitor comparison when favorable—external anchor

Tiered Pricing

  • Three tiers optimal—too many causes paralysis
  • Middle tier is the target—most users choose middle
  • Clear differentiation between tiers—obvious value progression
  • Feature gaps meaningful—not just "more of same"
  • Name tiers descriptively—"Starter, Pro, Enterprise" communicates audience

Decoy Effect

  • Add option that makes target look better—asymmetric dominance
  • Decoy slightly worse than target at similar price—pushes toward target
  • Works for both pricing and feature comparison
  • Decoy doesn't need to sell—just needs to exist

Freemium Strategy

  • Free tier demonstrates value—converts skeptics
  • Limit that creates natural upgrade moment—storage full, team size
  • Free tier still valuable—not crippled, builds habit
  • Clear path from free to paid—upgrade friction minimal
  • Track conversion funnel—where do free users drop off

Trial Design

  • Time-limited vs feature-limited—depends on product
  • Long enough to experience value—14 days minimum for complex products
  • Credit card upfront increases commitment—but reduces trial starts
  • Countdown creates urgency—but don't use dark patterns
  • Trial extension for engaged users—better than losing them

Subscription vs One-Time

  • Subscription for ongoing value—updates, content, service
  • One-time for discrete outcomes—tool purchases, courses
  • Hybrid: one-time with optional subscription—maintenance, support
  • Annual discount encourages commitment—typically 15-20% off monthly
  • Monthly lowers barrier—easier first purchase

Discounts

  • Discount reason increases conversion—launch, holiday, loyalty
  • Limited time more effective—scarcity drives action
  • First purchase discount—acquisition cost calculation
  • Volume discounts—incentivize larger purchases
  • Avoid constant discounts—trains customers to wait

Bundles

  • Bundle value higher than sum—or why bundle?
  • Hide individual prices when bundled—prevents unbundling math
  • Complementary products bundle well—frequently bought together
  • "Build your bundle" for customization—perceived control

Regional Pricing

  • Price by purchasing power—same product, different markets
  • Local currency—reduces friction, conversion confusion
  • Round to local conventions—€9,99 not €9.87
  • Consider regional competitors—local alternatives may be cheaper
  • VPN/region abuse prevention—if margins matter

Price Testing

  • A/B test carefully—different prices to different users is sensitive
  • Test at launch—easier than changing later
  • Willingness-to-pay surveys before launch—Van Westendorp method
  • Cohort-based experiments—new users only
  • Track long-term value, not just conversion—higher price may attract better customers

Presentation

  • Feature comparison table for tiers—easy scanning
  • Highlight recommended tier—visual emphasis, "Most Popular" badge
  • Show annual savings—monthly × 12 vs annual price
  • Calculator for value demonstration—ROI, time saved
  • Money-back guarantee—reduces risk perception

Common Mistakes

  • Pricing too low—undervalues product, hard to raise later
  • Too many tiers—creates confusion, not options
  • Hidden fees revealed late—breaks trust
  • Complicated pricing—if explanation needed, simplify
  • Ignoring competitor context—price exists in a market

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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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按下载量换算12,864

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安装前确认

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