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Agent Skill · 研究检索

sales-customer-reviews(销售客户评论)

sales-customer-reviews 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。

sales-customer-reviews 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,权限为需要联网;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 55,679。

总安装 470周安装 19GitHub Stars 13下载 147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:sales-customer-reviews(销售客户评论)
来源仓库:https://github.com/sales-skills/sales
仓库路径:skills/sales-customer-reviews
安装命令:
npx skills add https://github.com/sales-skills/sales --skill sales-customer-reviews
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/sales-skills/sales --skill sales-customer-reviews

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。

sales-customer-reviews 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词、任务场景或来源线索进行信息定位的研究检索场景。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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操作。该技能归类于研究检索类别,主要服务于销售相关的信息查找需求。

来源仓库内路径:skills/sales-customer-reviews

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/sales-skills/sales --skill sales-customer-revi…;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

    它需要需要联网,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

sales-customer-reviews 怎么安装?

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

sales-customer-reviews 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。

sales-customer-reviews 需要什么权限?

权限级别是需要联网。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。

sales-customer-reviews 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。

sales-customer-reviews 用的人多吗?

公开数据是累计安装 470 次,近一周安装 19 次,下载 147 次,GitHub 13 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。

sales-customer-reviews 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
sales-customer-reviews

销售客户评论 · 本页

47013需要联网未明确通过

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

Customer Reviews Strategy

Helps the user collect, display, moderate, and syndicate product reviews across ecommerce platforms — from choosing the right review tool to optimizing review collection rates and leveraging reviews for conversion and SEO.

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated knowledge.

Ask the user:

  1. What do you need help with?

- A) Choosing a review platform - B) Setting up review collection (post-purchase emails/SMS) - C) Displaying reviews on product pages - D) Getting more photo/video reviews - E) Review moderation and responding - F) Review syndication to retail partners or Google - G) Migrating from one review platform to another - H) Something else — describe it

  1. What's your ecommerce platform? Shopify, WooCommerce, Magento, BigCommerce, custom, or other
  2. What's your monthly order volume? This determines which review tools are cost-effective.
  3. What's your budget? Free, under $50/month, under $200/month, or enterprise

Step 2 — Platform comparison

Help the user choose based on their constraints:

PlatformBest forPricingPhoto/VideoSyndicationGoogle Rich Snippets
Judge.meBudget-conscious Shopify storesFree plan + $15/moYes (paid)NoYes
LooxVisual-first DTC brandsFrom $9.99/moCore featureNoYes
OkendoShopify brands wanting Klaviyo integrationFrom $19/moYesLimitedYes
StampedMulti-channel aggregationFrom $23/moYesLimitedYes
YotpoMid-market with loyalty + reviewsFrom $79/moYesYesYes
SkeepersEnterprise brands wanting UGC + influencer + reviews~3K EUR/moYesYes (retail network)Yes
BazaarvoiceEnterprise retail syndicationEnterprise pricingYesIndustry-leadingYes
PowerReviewsRetail brands / CPGEnterprise pricingYesStrong retail networkYes
TrustpilotService businesses / B2BFree plan + paidLimitedNoYes (own domain)
BirdeyeMulti-location service businesses~$299/mo/locationLimitedNoYes
G2B2B software (SaaS)Free + $299/mo+NoNoNo (G2 badges instead)

Decision framework:

  • Just starting / low budget: Judge.me (free plan is exceptionally generous) or Loox (if visual reviews matter)
  • Growing Shopify brand: Okendo (tight Klaviyo integration) or Stamped (multi-channel)
  • Mid-market needing loyalty + reviews: Yotpo (combined platform)
  • Enterprise needing syndication: Bazaarvoice or PowerReviews (retail network) or Skeepers (UGC + influencer + reviews combined)
  • Service business (single location): Trustpilot (brand reputation focus)
  • Service business (multi-location): Birdeye (reviews + listings + messaging in one platform, healthcare/dental PMS integrations)
  • B2B SaaS: G2 (buyer intent signals, Grid placement, category-specific credibility)

Step 3 — Review collection strategy

Post-purchase review request timing

ScenarioOptimal delayWhy
Digital products1-3 daysCustomer uses immediately
Fast-fashion / consumables7-10 daysEnough time to try
Furniture / appliances14-21 daysNeeds time to evaluate
Subscription boxes5-7 daysBefore next box arrives

Collection channels (by response rate)

  1. In-email review forms (highest) — customer rates without clicking through. Judge.me, Skeepers, and Okendo support this.
  2. SMS review requests — 3x higher open rate than email. Yotpo, Okendo, and Stamped support SMS.
  3. Post-purchase email — standard approach. All platforms support this.
  4. On-site pop-up — catch customers while browsing. Lower quality but captures impulse reviews.
  5. QR code in packaging — physical prompt. Works well for unboxing-heavy products.

Photo and video review incentives

  • Offer loyalty points or discount codes for photo/video reviews (Yotpo, Okendo, Stamped integrate with loyalty)
  • Use AI-suggested themes (Skeepers) to prompt more detailed, useful reviews
  • Keep the upload process mobile-friendly — most customers review on phones
  • Set expectations: "Show us how you use it" prompts better UGC than "Upload a photo"

Step 4 — Review display and SEO

Widget placement for maximum conversion

  1. Star ratings on product cards (collection pages) — social proof before click-through
  2. Review summary above the fold (product page) — star rating + count visible without scrolling
  3. Full review section (product page) — filterable by rating, with photo/video, below product details
  4. Review carousel (homepage) — featured reviews for brand trust
  5. Review rich snippets (Google search) — JSON-LD structured data for star ratings in SERPs

Google Rich Snippets setup

All major review platforms support JSON-LD structured data. Key requirements:

  • Use Product schema with aggregateRating and review properties
  • Reviews must be from verified purchases (Google's policy)
  • Minimum 1 review to display; Google recommends 5+ for reliability
  • Test with Google's Rich Results Test tool after implementation

Review syndication

What it is: Pushing your reviews from your brand site to retail partner sites (Amazon, Target, Walmart, etc.)

Who needs it: Brands selling through multiple retailers who want consistent review coverage everywhere.

Platform capabilities:

  • Bazaarvoice — largest retail syndication network (1,250+ retail sites, 325M+ reviews)
  • PowerReviews — strong retail network, especially grocery/CPG
  • Skeepers — syndication to Google Shopping, Meta, TikTok, plus retail partners
  • Yotpo — growing syndication capabilities

Key considerations:

  • Syndication requires retailer acceptance (business relationship, not just technical)
  • Product identifiers must match across systems (GTIN/UPC is the universal key)
  • Syndicated reviews are typically read-only on the retailer site
  • Google Shopping reviews syndication is different from retail syndication

Step 5 — Review moderation and response

Moderation workflow

  1. Auto-approve reviews ≥3 stars with no flagged content (most platforms support this)
  2. Queue for review 1-2 star reviews and anything with flagged language
  3. AI moderation (Skeepers, Yotpo) — catches spam, profanity, and competitor mentions automatically
  4. Respond to negative reviews within 24-48 hours — shows future customers you care

Response best practices

  • Thank positive reviewers briefly — don't over-respond
  • Address negative reviews with empathy + specific action: "I'm sorry about X. Here's what we're doing / please contact us at Y"
  • Never argue — other customers are reading your response
  • Use AI reply suggestions (Skeepers, Yotpo) as a starting point, then personalize

Gotchas

*Best-effort from research — review these, especially pricing and feature availability that may change.*
  • Shopify deprecated its native Product Reviews app in 2024 — if you're still using it, migrate to a third-party app. Export reviews before they're lost.
  • Google Rich Snippets are not guaranteed — Google decides whether to show star ratings in search results. Having structured data is necessary but not sufficient.
  • Free plans have branding — Judge.me and most free-tier review apps show their logo on widgets. Paid plans remove branding.
  • Review gating is against Google's policy — don't filter review requests to only send to satisfied customers. Send to everyone.
  • Photo review quality varies — expect ~5-15% of reviews to include photos without incentives. Incentivizing can increase this to 30%+.
  • Syndication ≠ automatic retail acceptance — having syndication capability doesn't mean retailers will accept your reviews. It's a business negotiation.
  • Migration between platforms risks losing reviews — most platforms support CSV import/export, but formatting varies. Test with a small batch first.
  • Self-improving: If you discover something not covered here, append it to references/learnings.md with today's date.

Before recommending a specific platform skill

This skill covers a strategy domain across many platforms. Before pointing the user to any specific platform skill (any /sales-{platform} listed in ## Related skills, e.g., /sales-mailshake, /sales-klaviyo, /sales-apollo), read that platform skill's actual SKILL.md first. The 1-line description in ## Related skills is enough to *identify* a candidate — it's not enough to *commit* to it or to write a prompt that invokes it well.

How to read it:

  • If ~/.claude/skills/{skill-name}/SKILL.md exists locally, Read it.
  • For sales-* skills, WebFetch directly from this repo: https://raw.githubusercontent.com/sales-skills/sales/main/skills/{skill-name}/SKILL.md — e.g., for sales-mailshake: https://raw.githubusercontent.com/sales-skills/sales/main/skills/sales-mailshake/SKILL.md.
  • For non-sales-* skills (third-party), look up {org}/{repo} in ~/.claude/skills/sales-do/references/skill-sources.md if installed and fetch the same skills/{skill-name}/SKILL.md path under that repo.

After reading, ground your recommendation in something concrete from the SKILL.md (its scope, a sub-flow, its argument-hint shape, or a "Do NOT use for..." negative trigger). Align any generated invocation with the platform skill's argument-hint. If the platform skill turns out not to fit the user's situation, swap to another or handle the question here directly rather than recommending a poor fit.

Related skills

  • /sales-trustpilot — Trustpilot platform help (TrustBox widgets, TrustScore, Invitation API, Google Seller Ratings). Install: npx skills add sales-skills/sales --skill sales-trustpilot
  • /sales-g2 — G2 platform help (B2B software reviews, buyer intent data, badges, profile optimization). Install: npx skills add sales-skills/sales --skill sales-g2
  • /sales-skeepers — Skeepers platform help (Verified Reviews, Influencer Marketing, Feedback Management). Install: npx skills add sales-skills/sales --skill sales-skeepers
  • /sales-influencer-marketing — Influencer marketing strategy (gifted reviews bridge both). Install: npx skills add sales-skills/sales --skill sales-influencer-marketing
  • /sales-checkout — Checkout optimization (review widgets on product pages affect conversion). Install: npx skills add sales-skills/sales --skill sales-checkout
  • /sales-birdeye — Birdeye platform help (reviews, listings, messaging, surveys for multi-location businesses). Install: npx skills add sales-skills/sales --skill sales-birdeye
  • /sales-online-reputation — Online reputation management strategy (monitoring, responding, review generation, listings, crisis response). Install: npx skills add sales-skills/sales --skill sales-online-reputation
  • /sales-customer-feedback — Customer feedback, NPS, CSAT, VoC strategy (different from product reviews — surveys are private satisfaction measurement, not public reviews). Install: npx skills add sales-skills/sales --skill sales-customer-feedback
  • /sales-email-marketing — Email marketing (review request emails are a key touchpoint). Install: npx skills add sales-skills/sales --skill sales-email-marketing
  • /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do

Examples

Example 1: "I just launched my Shopify store and need a review app. I have maybe 10 orders a day and no budget for paid tools." → Recommend Judge.me free plan, walk through setup: install app, configure 7-day post-purchase email delay, enable in-email review form, add star ratings to collection pages and review section to product pages, set up JSON-LD for Google Rich Snippets.

Example 2: "I'm a DTC beauty brand doing 500 orders/day and want more photo and video reviews for social proof." → Compare Loox vs Okendo vs Yotpo for visual review focus. Recommend photo review incentives (loyalty points or discount codes), SMS review requests for higher response rates, and UGC galleries on product pages. If they want influencer content too, suggest Skeepers for combined review + influencer UGC.

Example 3: "I sell through my own site and through Target and Walmart. How do I get my reviews to show up on retailer sites?" → Explain review syndication: Bazaarvoice or PowerReviews for the strongest retail networks, GTIN/UPC matching requirements, retailer onboarding process, and the business relationship aspect beyond technical integration.

Troubleshooting

Low review collection rate (< 5%)

  • Check email deliverability — review requests may be going to spam
  • Shorten the delay — if customers forget by the time the request arrives, they won't review
  • Enable in-email forms — reduces friction vs. clicking through to a separate page
  • Add SMS as a second channel — 3x higher open rate than email
  • Test subject lines — "How's your [product]?" outperforms "Leave a review"

Reviews not showing in Google search results

  • Verify JSON-LD structured data with Google's Rich Results Test
  • Ensure reviews are from verified purchases
  • Check that you have enough reviews (Google recommends 5+ per product)
  • Google can take weeks to process — be patient after implementation
  • Note: Google may choose not to show stars even with valid markup

Review widget slowing down page

  • Lazy-load the review section (load on scroll, not on page load)
  • Limit initial display to 5-10 reviews with "load more"
  • Check if the review app loads external scripts synchronously — defer if possible
  • Test Core Web Vitals before and after review widget installation

平台分布

Codex

33.68%
按下载量换算50

Claude

31.67%
按下载量换算47

Cursor

20.89%
按下载量换算31

Gemini CLI

10.35%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

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。目前只有一个公开来源,建议同时核对源仓库。

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