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Agent Skill · 研究检索

sales-chatbot(销售聊天机器人)

sales-chatbot 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-chatbot 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 42,758。

总安装 1,045周安装 44GitHub Stars 13下载 366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-chatbot(销售聊天机器人)
来源仓库:https://github.com/sales-skills/sales
仓库路径:skills/sales-chatbot
安装命令:
npx skills add https://github.com/sales-skills/sales --skill sales-chatbot
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-chatbot

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-chatbot 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。适用于销售研究、信息检索和线索筛选等需要精准匹配来源仓库的场景。

通过关键词或任务描述触发,返回符合条件的候选结果列表,支持进一步交互验证。安装命令为 npx skills add https://github.com/sales-skills/sales --skill sales-chatbot,需确认权限范围和维护状态。

使用前请核实是否会触发联网、命令执行或文件读写操作,避免安全风险。

来源仓库内路径:skills/sales-chatbot

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-chatbot;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-chatbot 怎么安装?

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

sales-chatbot 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-chatbot 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-chatbot 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-chatbot 用的人多吗?

公开数据是累计安装 1,045 次,近一周安装 44 次,下载 366 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-chatbot 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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-chatbot

销售聊天机器人 · 本页

1,04513需要联网未明确有提醒

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

Chatbot Marketing & Conversational Automation

Help the user build chatbot flows for sales, support, and marketing — across WhatsApp, Telegram, Facebook Messenger, Instagram, Viber, website live chat, and other messaging platforms.

Step 1 — Gather context

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

What channel are you building for?

  • a) WhatsApp Business
  • b) Telegram
  • c) Facebook Messenger
  • d) Instagram DMs
  • e) Website live chat widget
  • f) Viber
  • g) Multiple channels / omnichannel
  • h) Not sure yet — help me choose

What's the bot's primary job?

  • a) Lead qualification — ask questions, score, route to sales
  • b) FAQ / support — answer common questions automatically
  • c) Product catalog / e-commerce — browse, recommend, purchase
  • d) Appointment booking — schedule meetings or demos
  • e) Welcome / onboarding — greet new subscribers, set expectations
  • f) Re-engagement — win back inactive contacts
  • g) Order tracking / transactional — status updates, notifications
  • h) Full conversational sales funnel

What's your technical comfort level?

  • a) No-code visual builder only
  • b) Comfortable with webhooks and basic integrations
  • c) Developer — want API-level control

Step 2 — Strategy and approach

Read references/platform-guide.md for channel comparison, flow design principles, lead qualification frameworks, FAQ bot structure, platform-specific guidance (SendPulse, SWAI, ManyChat, Tidio, Intercom, Drift, HubSpot), bot-building steps, metrics benchmarks, and common mistakes.

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

Step 3 — Actionable guidance

Based on the user's channel and bot type, provide:

  1. Platform recommendation — which chatbot platform fits their channel, budget, and technical level
  2. Flow design — map the conversation for their specific use case (qualification, FAQ, e-commerce, booking)
  3. Integration setup — connect bot to CRM, calendar, or e-commerce platform
  4. Testing plan — how to test the bot before going live
  5. Optimization — which metrics to track and how to iterate on drop-off points

Gotchas

*Best-effort from research — review these, especially items about platform-specific rules that may change.*

  • WhatsApp 24-hour window is strict — if you send a non-template message outside the window, it silently fails or gets your account flagged. Always check last_activity timestamp before sending.
  • Facebook/Instagram 24-hour rule — similar to WhatsApp, Messenger has a 24-hour standard messaging window. Outside it, you need message tags (limited to specific use cases like confirmed event updates or account updates).
  • Template approval takes time — WhatsApp message templates require Meta review (hours to days). Don't wait until launch day to submit templates.
  • Bot-to-human handoff state — most platforms pause the bot during human chat but don't always resume correctly. Test the full cycle: bot → human → bot resumes.
  • Multi-channel subscriber identity — a user on WhatsApp and Telegram is often two separate contacts in the platform. Merging/deduplication requires matching by phone or email.
  • 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.

Step 5 — Related skills

  • /sales-zendesk — Zendesk platform help (AI agents, chatbot automation, ticketing)
  • /sales-helpdesk-selection — Help desk platform comparison (Zendesk vs Freshdesk vs Intercom vs Help Scout)
  • /sales-hubspot — HubSpot platform help (chatbot builder, Conversations inbox, live chat)
  • /sales-qualified — Qualified platform help (Piper AI SDR conversations, Salesforce-native chatbot)
  • /sales-sendpulse — SendPulse platform help (chatbots across 7 channels, visual flow builder, Automation 360)
  • /sales-swai — SWAI platform help (AI chat widget, autonomous lead qualification, Cal.com scheduling)
  • /sales-birdeye — Birdeye platform help (webchat chatbot for multi-location businesses, appointment scheduling)
  • /sales-live-chat — Live chat widget setup and optimization (non-bot focused)
  • /sales-sms-marketing — SMS campaigns and automation (non-conversational)
  • /sales-cadence — Multi-channel outbound sequences (email, call, social — structured outreach vs. conversational)
  • /sales-email-marketing — Opt-in email marketing (broadcasts, automations, newsletters)
  • /sales-integration — Connect chatbot platforms to CRM, helpdesk, and other tools
  • /sales-audience-growth — Grow your subscriber base (pop-ups, lead magnets, opt-in forms — feed contacts into bot flows)
  • /sales-lindy — Lindy platform help (AI agent builder with custom chatbot creation and knowledge base RAG)
  • /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: WhatsApp lead qualification bot

User says: "I want to build a WhatsApp bot that qualifies leads for my SaaS product and books demos" Skill does: Recommends WhatsApp Business API setup, designs a 4-step qualification flow (greeting → role question → team size → pain point), explains 24-hour window and template requirements, configures meeting booking via calendar link, sets up hot lead handoff to sales rep Result: Working WhatsApp bot that qualifies inbound leads and books demos for qualified prospects

Example 2: Multi-channel FAQ bot

User says: "We get the same 20 questions on our website, Facebook, and Instagram. Can I automate this?" Skill does: Recommends a platform with multi-channel support (SendPulse, ManyChat, or Tidio), structures FAQ into 5 categories with sub-menus, configures fallback to human agent after 2 failed attempts, sets up the same flow across website widget + Facebook + Instagram Result: FAQ bot deployed on 3 channels, reducing support ticket volume by handling common questions automatically

Example 3: E-commerce abandoned cart recovery via Messenger

User says: "I want to send abandoned cart reminders through Facebook Messenger instead of email" Skill does: Explains Messenger 24-hour window and checkbox plugin for opt-in, designs flow: 1hr reminder with product image → 24hr discount offer → fallback to email if no response, configures Shopify/WooCommerce webhook to trigger the flow, adds human handoff for purchase objections Result: Messenger-based cart recovery flow that engages customers in a conversational format with higher open rates than email

Troubleshooting

Bot sends messages but users don't see them

Symptom: Messages show as "sent" in the platform but users report not receiving them Cause: Usually a 24-hour window violation (WhatsApp/Messenger) or the user has blocked/muted the bot Solution: Check if the message was sent outside the messaging window — use template messages instead. Verify the user hasn't blocked the bot. For WhatsApp, check your Business Manager quality rating — low quality can throttle delivery.

Bot flow gets stuck in a loop

Symptom: Users report the bot keeps repeating the same message or cycling through the same steps Cause: A condition in the flow always evaluates to the same branch, or a fallback routes back to the same step Solution: Check condition logic — ensure variables are being set correctly. Add a loop counter (increment a variable each pass) and break out after 2-3 iterations with a human handoff.

Human handoff doesn't work during business hours

Symptom: Bot transfers to human agent but nobody picks up, or the handoff action doesn't trigger Cause: Business hours misconfigured, no agents online, or the handoff action isn't connected to the live chat queue Solution: Verify business hours timezone settings. Ensure at least one agent is set to "available" in the live chat panel. Test the handoff action in preview mode to confirm it routes to the correct team/inbox.

平台分布

Codex

35.12%
按下载量换算129

Claude

28.15%
按下载量换算103

Cursor

19.54%
按下载量换算72

Gemini CLI

9.17%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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