smart-chatbot-builder(智能聊天机器人构建器,快速创建客服/销售/内部助手聊天机器人,支持知识库、多轮对话、多渠道集成。)

v1.0.0

智能聊天机器人构建器,快速创建客服/销售/内部助手聊天机器人,支持知识库、多轮对话、API 集成。

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bycareytian@careytian-ai

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for careytian-ai/smart-chatbot-builder.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "smart-chatbot-builder(智能聊天机器人构建器,快速创建客服/销售/内部助手聊天机器人,支持知识库、多轮对话、多渠道集成。)" (careytian-ai/smart-chatbot-builder) from ClawHub.
Skill page: https://clawhub.ai/careytian-ai/smart-chatbot-builder
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: read, write, web_fetch
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install smart-chatbot-builder

ClawHub CLI

Package manager switcher

npx clawhub@latest install smart-chatbot-builder
Security Scan
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OpenClawOpenClaw
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high confidence
Purpose & Capability
The name/description (chatbot builder with KB import, multi-turn flows, multi-channel integration) align with the declared runtime needs: read (for local docs), web_fetch (for site scraping), and write (for deploying/writing configs). Nothing requests unrelated cloud credentials or secrets.
Instruction Scope
SKILL.md sticks to building chatbots: knowledge import (PDF/MD/TXT), site crawling, flow templates, and deployment examples. It does not instruct the agent to read arbitrary system config, environment secrets, or exfiltrate data beyond fetching web pages and reading user-supplied documents.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, so nothing is downloaded or written by an installer. This minimizes disk/exec risk.
Credentials
The skill requires no environment variables or credentials, which is proportional. Minor metadata mismatches: config.json lists a 'message' capability not present in required bins, and defaultModel is set to 'local-qwen' (an implementation detail that may imply use of a local model runtime but no binaries/credentials are requested). These are likely harmless but worth clarifying.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request permanent presence or attempt to modify other skills or system-wide settings.
Assessment
This skill is instruction-only and appears to be what it claims: a guide for building chatbots. Before using: (1) treat the JavaScript examples as illustrative — there is no packaged runtime code included; you will need to implement or install the referenced functions yourself; (2) be careful what documents you allow the agent to read—the skill explicitly supports importing local PDFs/MD/TXT and web scraping, so do not provide sensitive files or credentials; (3) channel deployment (WeChat/Slack/etc.) will require separate API tokens or OAuth in your real integration — the skill does not request or store those, so plan secure handling; (4) verify the 'defaultModel: local-qwen' setting matches your environment or change it if you don’t run a local model; and (5) ask the author to clarify the small metadata mismatches (capability 'message' vs declared bins). If you need the skill to perform deployments or integrate channels automatically, require explicit review of any code or install steps that will be added in future versions.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

Binsread, write, web_fetch
latestvk97cvwd91vgtx5gdfapad16vds83vdeb
226downloads
1stars
1versions
Updated 4w ago
v1.0.0
MIT-0

AI 聊天机器人构建器 v1.0.0

快速构建 AI 聊天机器人,适用于客服、销售、内部助手等场景。

功能特性

1. 知识库集成

  • 文档导入(PDF/Markdown/TXT)
  • 网站内容抓取
  • FAQ 配置
  • RAG 检索增强

2. 对话管理

  • 多轮对话流程
  • 意图识别
  • 上下文记忆
  • 人工接管

3. 渠道集成

  • Web 嵌入
  • 微信/企业微信
  • Slack/Discord
  • API 接口

4. 数据分析

  • 对话日志
  • 用户行为分析
  • 常见问题统计
  • 满意度追踪

快速使用示例

// 创建客服机器人
const bot = createChatbot({
  name: "客服助手",
  knowledgeBase: ["./docs/product.pdf", "./docs/faq.md"],
  channels: ["web", "wechat"],
  handoffThreshold: 0.6
})

// 配置对话流程
bot.addFlow("order_inquiry", {
  steps: [
    { ask: "请问您的订单号是?", save: "order_id" },
    { action: "query_order", use: "order_id" },
    { respond: "您的订单状态是:${order.status}" }
  ]
})

// 部署到 Web
bot.deploy({
  target: "web",
  container: "#chat-widget"
})

预置模板

模板 1:电商客服

  • 订单查询
  • 退换货政策
  • 产品推荐
  • 物流跟踪

模板 2:SaaS 产品助手

  • 功能引导
  • 故障排查
  • 账户管理
  • 技术支持

模板 3:内部知识库

  • 员工问答
  • 流程指引
  • 文档检索
  • IT 支持

定价参考

类型复杂度价格范围
基础客服单渠道+FAQ$5,000-$15,000
智能助手多渠道+RAG$15,000-$35,000
企业方案全渠道+定制$35,000-$75,000+

定制开发

需要定制化 AI 聊天机器人、企业级集成方案?

📧 联系:careytian-ai@github


许可证

MIT-0

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