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sales-chatbot销售聊天机器人

Agent Skill

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。

总安装

1,045

周安装

44

GitHub Stars

13

下载量

366
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-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

简介

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。

SKILL.md

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.

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

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

35.12%
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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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