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sales-customersai销售客户

Agent Skill

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。

总安装

329

周安装

14

GitHub Stars

13

下载量

115
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

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能力 4

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。

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

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安装前确认

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