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Agent Skill · 研究检索

conversion-rate-optimization(转化率优化)

conversion-rate-optimization 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。

conversion-rate-optimization 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 51,954。

总安装 569周安装 23GitHub Stars 19下载 178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
unknown

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:conversion-rate-optimization(转化率优化)
来源仓库:https://github.com/finsilabs/awesome-ecommerce-skills
仓库路径:skills/conversion-rate-optimization
安装命令:
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill conversion-rate-optimization
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/finsilabs/awesome-ecommerce-skills --skill conversion-rate-optimization

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

conversion-rate-optimization 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。适用于电商转化率优化相关的资料搜索与内容筛选,可结合来源仓库和原始 README 进一步核验具体用法。

通过 npx skills add 命令从 GitHub 仓库安装,支持主流 AI 宿主环境集成调用。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操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/conversion-rate-optimization

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/finsilabs/awesome-ecommerce-skills --skill con…;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

    它需要操作浏览器,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

conversion-rate-optimization 怎么安装?

在终端执行 npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill conversion-ra…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

conversion-rate-optimization 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。

conversion-rate-optimization 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

conversion-rate-optimization 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

conversion-rate-optimization 用的人多吗?

公开数据是累计安装 569 次,近一周安装 23 次,下载 178 次,GitHub 19 星。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。

conversion-rate-optimization 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。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
conversion-rate-optimization

转化率优化 · 本页

56919操作浏览器未明确通过

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

Conversion Rate Optimization

Overview

Conversion rate optimization (CRO) is the systematic process of increasing the percentage of visitors who complete a purchase. Before spending on tools or tests, run a structured audit using free platform analytics and a heatmap tool to identify where users actually drop off. Most stores have 3–5 high-impact fixes that require no A/B testing — just implementation.

When to Use This Skill

  • When overall store conversion rate is below 2% and you need a structured diagnostic approach
  • When preparing an A/B test backlog based on data rather than guesses
  • When optimizing a newly launched checkout flow before scaling ad spend
  • When post-redesign metrics show a conversion regression and root cause analysis is needed
  • When stakeholders need a prioritized roadmap of CRO experiments

Core Instructions

Step 1: Install analytics and heatmap tools

ToolCostWhat It Shows
Google Analytics 4FreeFunnel drop-off by step, conversion rate by source
Microsoft ClarityFreeSession recordings, heatmaps, rage-click detection
HotjarFree tier availableHeatmaps, session recordings, on-site surveys
Lucky Orange$18/moHeatmaps + funnel analytics, good Shopify integration

Install at least GA4 (required) and one heatmap tool before doing any CRO work. Data collection takes 2–4 weeks before you have enough to act on.


Shopify
  1. Go to Shopify Admin → Online Store → Preferences
  2. Under Google Analytics, enter your GA4 Measurement ID (starts with G-)
  3. For Microsoft Clarity: install the Microsoft Clarity app from the Shopify App Store — it auto-injects the tracking code on all pages including checkout
  4. For Hotjar: add the Hotjar tracking code to your theme under Online Store → Themes → Edit Code → theme.liquid

WooCommerce
  1. Install the MonsterInsights plugin (free tier) — it connects WordPress to GA4 with ecommerce tracking built in
  2. For heatmaps: install the Microsoft Clarity WordPress plugin (free, official) or Hotjar plugin
  3. For funnel tracking: MonsterInsights shows checkout funnel steps in WordPress admin under Insights → Reports → eCommerce

BigCommerce
  1. Go to BigCommerce Admin → Advanced Settings → Analytics
  2. Add your GA4 Measurement ID under "Google Analytics"
  3. For heatmaps: go to Apps → Marketplace and install Microsoft Clarity or Hotjar

Step 2: Run a CRO audit — check these high-impact items first

Review your store against this checklist before running any A/B tests. These are the highest-ROI fixes:

Checkout friction (fix these first):

  • Guest checkout available without forced account creation — forcing registration is the #1 abandonment cause (35% of users leave)
  • Email field is the first field on the checkout form — captures abandoners for email recovery even if they don't complete
  • Express payment methods (Shop Pay, Apple Pay, Google Pay) appear above the fold on mobile
  • Shipping cost is shown before the customer reaches the payment step — surprise shipping costs cause 25% of abandonment
  • Return policy is visible on the checkout page or product page

Product page friction:

  • Primary "Add to Cart" button is visible without scrolling on mobile
  • Product images include multiple angles, lifestyle shots, and zoom capability
  • Reviews/ratings are displayed on the product page
  • Low stock / urgency messaging is shown when inventory < 10 units

Trust signals:

  • SSL padlock visible in browser
  • Payment method icons (Visa, PayPal, etc.) visible near checkout button
  • Money-back guarantee or return policy linked from product pages

Step 3: Identify your highest drop-off step using platform analytics


Shopify
  1. Go to Shopify Admin → Analytics → Reports → Checkout funnel
  2. This shows conversion rate at each checkout step: Information → Shipping → Payment → Order confirmation
  3. The step with the highest drop-off is your primary target

Also check:

  • Analytics → Reports → Sessions by landing page — find which pages drive traffic but have low conversion
  • Analytics → Live View — watch real-time sessions to understand user behavior

WooCommerce with MonsterInsights
  1. Go to WordPress Admin → Insights → Reports → eCommerce
  2. Review the checkout funnel: Product page → Cart → Checkout → Order Complete
  3. High drop-off at "Cart → Checkout" suggests cart page issues; high drop-off at "Checkout → Order Complete" suggests checkout friction

GA4 (all platforms)
  1. Go to GA4 → Reports → Monetization → Checkout journey
  2. This shows the standard Google ecommerce funnel: View Item → Add to Cart → Begin Checkout → Purchase
  3. Click on any step to see the session recordings in Clarity/Hotjar that match users who dropped off there

Step 4: Review heatmaps and session recordings

After 2 weeks of data collection:

  1. Open Microsoft Clarity or Hotjar
  2. Heatmaps: look for rage clicks (red areas users click repeatedly) on product pages and checkout — these indicate user frustration
  3. Session recordings: watch 10–20 sessions of users who reached checkout but did not purchase — identify specific friction points
  4. Click maps on product pages: are users clicking on non-clickable product images? Are they missing the "Add to Cart" button?

Step 5: Prioritize experiments using ICE scoring

Before building an A/B test backlog, score each hypothesis:

HypothesisImpact (1–5)Confidence (1–5)Ease (1–5)ICE Score
Enable guest checkout55375
Add Apple/Google Pay above fold on mobile44464
Show shipping cost on product page44348
Add "Only X left" urgency copy33545

Run experiments in ICE score order. Never run more than 3 A/B tests simultaneously.

A/B testing tools by platform:

  • Shopify: Shopify Experiments (built-in, Shopify Plus only) or Intelligems app for all plans
  • WooCommerce: Nelio A/B Testing plugin or Google Optimize (discontinued — use VWO or Intelligems)
  • All platforms: VWO ($200/mo) or Convert ($199/mo) for serious testing programs

Step 6: Implement the highest-impact fixes

For Shopify stores, many of these are theme settings, not code changes:

  • Enable guest checkout: Shopify Admin → Settings → Checkout → check "Allow customers to check out as guests"
  • Enable Shop Pay: Shopify Admin → Settings → Payments → Enable Shop Pay
  • Add urgency copy: use a free app like Urgency Bear or Sales Countdown Timer from the Shopify App Store
  • Add trust badges: most themes have a "trust badges" section — add it to product pages and the cart page

Best Practices

  • Fix drop-off at the worst-performing step first — optimize the highest-volume drop-off before moving to smaller steps
  • Enable guest checkout before any other test — it is consistently the #1 highest-impact change
  • Surface trust signals near the payment form — SSL badge, return policy, and accepted card logos at the point of highest anxiety
  • Add express payment methods above the fold on mobile — Shop Pay, Apple Pay, and Google Pay reduce checkout time from 2 minutes to 15 seconds on mobile
  • Set a minimum detectable effect before running a test — run tests without a pre-calculated sample size leads to false positives
  • Use revenue per visitor, not just conversion rate — sometimes a change increases CVR but reduces AOV

Common Pitfalls

ProblemSolution
A/B test shows conflicting results week over weekUse a fixed experiment duration based on statistical power calculation, not "when it looks significant"
High cart-to-checkout rate but low checkout completionThe drop-off is inside checkout — review Shopify's Checkout Funnel report to pinpoint the specific step
CRO changes improve CVR but reduce AOVTrack revenue per visitor, not just CVR
Heatmaps show rage clicks on non-clickable elementsMake these elements interactive (link product images to the product page) or remove the visual affordance
Funnel metrics inconsistent between GA4 and Shopify AnalyticsUse Shopify's order count as ground truth; GA4 can miss orders due to ad blockers

Related Skills

  • @cart-abandonment-recovery
  • @exit-intent-popups
  • @cross-sell-upsell-engine
  • @social-proof-widgets
  • @marketing-attribution-dashboard

平台分布

Codex

34.05%
按下载量换算61

Claude

32.58%
按下载量换算58

Cursor

17.47%
按下载量换算31

Gemini CLI

9.96%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

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