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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。）

Name: 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。）
Author: careytian-ai

作者 careytian · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

220

总下载

当前安装

版本数

在 OpenClaw 中安装

/install smart-chatbot-builder

功能描述

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。

使用说明 (SKILL.md)

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

安全使用建议

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.

功能分析

Type: OpenClaw Skill Name: smart-chatbot-builder Version: 1.0.0 The skill bundle is a set of instructions and metadata for an AI agent to act as a chatbot builder. It requests standard capabilities (read, write, web_fetch) that are consistent with its stated purpose of document processing and website scraping for knowledge bases. No malicious code, data exfiltration patterns, or prompt injection attacks were found in SKILL.md or the configuration files.

能力评估

✓ 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.

ℹ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install smart-chatbot-builder
安装完成后，直接呼叫该 Skill 的名称或使用 /smart-chatbot-builder 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

smart-chatbot-builder v1.0.0 - 首次发布，支持快速构建客服、销售及内部助手型 AI 聊天机器人 - 集成文档导入、网站内容抓取、FAQ 配置与知识库检索增强 - 支持多轮对话、意图识别、上下文记忆和人工接管 - 多平台接入：Web、微信、企业微信、Slack、Discord 及 API - 提供对话日志、用户行为分析和常见问题统计 - 含多种预设模板，适用于电商、SaaS 和企业内部场景

元数据

Slug smart-chatbot-builder

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题