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Agent Skill · 研究检索

sales-customersai(销售客户)

sales-customersai 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-customersai 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 62,606。

总安装 329周安装 14GitHub Stars 13下载 115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-customersai(销售客户)
来源仓库:https://github.com/sales-skills/sales
仓库路径:skills/sales-customersai
安装命令:
npx skills add https://github.com/sales-skills/sales --skill sales-customersai
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-customersai

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-customersai 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-customersai

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-customersai;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-customersai 怎么安装?

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

sales-customersai 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-customersai 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-customersai 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-customersai 用的人多吗?

公开数据是累计安装 329 次,近一周安装 14 次,下载 115 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-customersai 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-customersai

销售客户 · 本页

32913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

Customers.ai Platform Help

Helps the user with Customers.ai questions — X-Ray pixel setup, Alfred AI intent scoring, Inboxer deliverability suite, ad retargeting audience recovery, Klaviyo integration, and Consumer Data Enrichment API.

Important context: Customers.ai is built specifically for Shopify brands using Klaviyo. The X-Ray pixel identifies 60-70% of anonymous site visitors (vs Klaviyo's native 15-20%) and syncs them directly to Klaviyo. Alfred AI scores intent daily and auto-suppresses low-intent profiles to cut ESP costs. It's B2C ecommerce only — for B2B visitor ID, use /sales-rb2b.

Step 1 — Gather context

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

What area of Customers.ai do you need help with?

  • a) X-Ray Pixel — identify anonymous website visitors
  • b) Alfred AI Agent — intent scoring and profile suppression
  • c) Inboxer — email deliverability optimization
  • d) Ad Retargeting — recover audiences for Meta, Google, TikTok
  • e) Consumer Data Enrichment API — enrich contacts programmatically
  • f) Klaviyo integration setup
  • g) Evaluating — comparing Customers.ai vs Retention.com vs others
  • h) Something else

What's your current situation?

  • a) Setting up Customers.ai for the first time
  • b) Already using it — troubleshooting an issue
  • c) Evaluating whether it's worth the cost
  • d) Migrating from another visitor ID tool (Retention.com, Opensend, etc.)

What's your monthly website traffic?

  • a) Under 50K unique visitors
  • b) 50K-150K
  • c) 150K-500K
  • d) 500K+

Skip-ahead rule: if the user's prompt already contains enough context, skip to Step 2.

Step 2 — Route or answer directly

If the question is about...Route to...
B2B visitor identification/sales-rb2b {user's original question}
Ecommerce identity resolution strategy across tools/sales-intent {user's original question}
Email marketing strategy/sales-email-marketing {user's original question}
Email list growth across tools/sales-audience-growth {user's original question}
Retargeting strategy across channels/sales-retargeting {user's original question}
Email deliverability across platforms/sales-deliverability {user's original question}
Klaviyo-specific questions (not Customers.ai)/sales-klaviyo {user's original question}
Retention.com-specific questions/sales-retention {user's original question}

Otherwise, answer directly using the platform reference.

Step 3 — Customers.ai platform reference

Read references/platform-guide.md for the full platform reference — modules, pricing, integrations, data model, workflows.

Answer the user's question using only the relevant section. Don't dump the full reference.

Step 4 — Actionable guidance

You no longer need the platform guide — focus on the user's specific situation.

First-time setup: Install X-Ray pixel → connect Klaviyo → configure Alfred intent thresholds → set up Inboxer → monitor for 2 weeks.

Optimization: Review Alfred's suppression rates → check Inboxer inbox placement → compare identified contact engagement vs organic → adjust intent thresholds.

Migration from another tool: Upload suppression list from old tool → install X-Ray pixel → run Data Detox if switching from a low-accuracy provider → monitor deliverability closely for first 30 days.

If you discover a gotcha, workaround, or tip not covered in references/learnings.md, append it there.

Gotchas

*Best-effort from research — review these, especially items about plan-gated features and integration gotchas that may be outdated.*

  • Klaviyo-only. Customers.ai does not support Omnisend, Mailchimp, ActiveCampaign, or other ESPs. If you're not on Klaviyo, this tool won't work for you.
  • Shopify-only. Built specifically for Shopify stores. No native integration with WooCommerce, BigCommerce, or custom ecommerce platforms.
  • $600/mo minimum. Starter plan costs $600/month with 3,000 resolutions. At $0.20/overage, costs can escalate quickly for high-traffic stores. Economics don't work until meaningful traffic volume ($500K+ GMV).
  • Data accuracy is 65-85%, not 100%. Industry average is 5-30% — Customers.ai is better but still means 15-35% of identified contacts may be wrong. Monitor bounce rates closely.
  • Legacy MobileMonkey API. The public API still uses api.mobilemonkey.com endpoints. Documentation is sparse and endpoints are limited (Update Contact, Send JSON Message, Lookup Users). Don't expect a robust developer API.
  • Data Detox may be needed. If switching from a competitor (especially one with low accuracy), your Klaviyo lists may contain bad data. Customers.ai offers a Data Detox service but it adds cost and time to migration.
  • ROI guarantee has conditions. The "5x ROI or payment waived" guarantee uses Customers.ai's attribution methodology. Make sure your definition of attributable revenue aligns with theirs before relying on the guarantee.
  • Self-improving: If you discover something not covered here, append it to references/learnings.md with today's date.

Related skills

  • /sales-retention — Retention.com platform help (competitor — ecommerce identity resolution, abandonment recovery)
  • /sales-rb2b — RB2B platform help (B2B person-level visitor identification)
  • /sales-klaviyo — Klaviyo platform help (primary ESP integration)
  • /sales-intent — Buying signals and visitor identification strategy across tools
  • /sales-audience-growth — Email list growth strategy across tools
  • /sales-retargeting — Retargeting and remarketing strategy across channels
  • /sales-deliverability — Email deliverability strategy (critical with identity-resolved contacts)
  • /sales-enrich — Contact enrichment strategy across tools
  • /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: Set up X-Ray pixel on Shopify + Klaviyo

User says: "I just signed up for Customers.ai and need to connect it to my Shopify store and Klaviyo" Skill does: Walks through X-Ray pixel installation via Shopify theme or GTM (10-minute setup), Klaviyo integration configuration, Alfred AI threshold setup, recommends starting with high-intent pages only, and sets up monitoring for first 2 weeks Result: X-Ray pixel installed, Klaviyo receiving identified visitor profiles, Alfred scoring intent daily

Example 2: Compare Customers.ai vs Retention.com

User says: "I'm on Retention.com but my deliverability is tanking — should I switch to Customers.ai?" Skill does: Compares accuracy (Customers.ai 65-85% vs Retention.com's reported 15-25% true match rate), notes Customers.ai includes Inboxer deliverability suite (Retention.com doesn't), explains Alfred AI auto-suppresses low-intent profiles to protect sender reputation, warns about Data Detox cost for migration, and calculates cost comparison at their traffic level Result: Clear comparison with migration plan if they decide to switch

Example 3: Reduce Klaviyo costs with Alfred AI

User says: "My Klaviyo bill is $800/month because of all these identified visitor profiles — can I reduce it?" Skill does: Explains how Alfred AI scores visitor intent daily and auto-suppresses low-intent profiles in Klaviyo, reducing active profile count. Shows how to configure intent thresholds (high/medium/low buckets), recommends suppressing low-intent profiles that haven't engaged in 30 days, and estimates Klaviyo cost savings based on their current profile count Result: Klaviyo costs reduced by suppressing low-intent identified profiles while keeping high-intent ones active

Troubleshooting

Identified contacts hurting Klaviyo deliverability

Symptom: Spam complaint rate spiked after enabling Customers.ai, emails landing in Promotions/Spam Cause: Identified visitors didn't opt in to your emails. Some will mark you as spam. Even with higher accuracy than competitors, 15-35% of contacts may be incorrect. Solution: Enable Inboxer deliverability suite (booster script, list validation, inbox warming). Use Alfred AI to suppress low-intent profiles. Send to high-intent segments only (cart abandoners, repeat visitors). Use a separate sending subdomain. Sunset non-engagers after 2-3 sends.

X-Ray pixel not identifying visitors

Symptom: Dashboard shows very few identified visitors despite high traffic Cause: Pixel not installed on all pages, blocked by ad blockers, or traffic is primarily non-US/mobile/VPN Solution: Verify pixel is on all pages (not just product pages). Check that Content Security Policy isn't blocking it. Test with ad blockers disabled. Customers.ai works best with US desktop traffic — mobile and VPN users have lower match rates.

Alfred AI suppressing too many profiles

Symptom: Alfred is suppressing most identified visitors, very few making it to Klaviyo flows Cause: Intent thresholds set too aggressively, or most traffic is genuinely low-intent (browsing, not buying) Solution: Review Alfred's scoring criteria and adjust thresholds. Check which pages visitors hit before suppression — if they're viewing products and getting suppressed, thresholds need loosening. Start with a permissive threshold and tighten over time as you see deliverability data.

平台分布

Codex

35.93%
按下载量换算41

Claude

29%
按下载量换算33

Cursor

18.59%
按下载量换算21

Gemini CLI

9.06%
按下载量换算10

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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