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Ducksearch

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liangdabiao
ducksearch

使用 DuckDuckGo 进行网页搜索和内容提取的命令行工具。当用户需要搜索网络信息、查找资料、获取网页内容时使用此 skill。触发场景包括：(1) 搜索网络内容 (2) 获取网页文本 (3) 使用 DuckDuckGo 搜索 (4) 抓取网页内容 (5) 配置 MCP 搜索服务器。

Overview

Publisherliangdabiao
RepositoryBright-Data-MCP-Claude-Skill-deep-research
Skill nameducksearch
Stars
53
Forks
16
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by liangdabiao on GitHub. Read the source before you install it.

Installation

Install the Ducksearch AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/liangdabiao/Bright-Data-MCP-Claude-Skill-deep-research/tree/main/.claude/skills/ducksearch
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/liangdabiao/Bright-Data-MCP-Claude-Skill-deep-research.git /tmp/Bright-Data-MCP-Claude-Skill-deep-research
mkdir -p .claude/skills
cp -r /tmp/Bright-Data-MCP-Claude-Skill-deep-research/.claude/skills/ducksearch .claude/skills/ducksearch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ducksearch in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ducksearch on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ducksearch is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ducksearch

网页搜索和内容提取工具，

快速使用

搜索网络

bash
npx -y ducksearch search "搜索关键词"
npx -y ducksearch search "Claude AI" -n 5      # 限制结果数量
npx -y ducksearch search "Claude AI" -o        # 自动打开第一个结果

获取网页内容

bash
npx -y ducksearch fetch https://example.com
npx -y ducksearch fetch https://example.com --raw      # 原始 HTML
npx -y ducksearch fetch https://example.com -o out.txt # 保存到文件
npx -y ducksearch fetch https://example.com --json     # JSON 格式

MCP 服务器配置

在 Claude Code 中使用 ducksearch 作为 MCP 服务器：

json
{
  "mcpServers": {
    "ducksearch": {
      "command": "npx",
      "args": ["-y", "ducksearch", "mcp"]
    }
  }
}

MCP 工具

  • DuckDuckGoWebSearch: 搜索网络内容，返回标题、链接、摘要
  • UrlContentExtractor: 提取网页纯文本内容

全局安装（可选）

bash
npm install -g ducksearch
ducksearch search "关键词"
ducksearch fetch https://example.com

Frequently asked questions

What does the Ducksearch AI skill do?

使用 DuckDuckGo 进行网页搜索和内容提取的命令行工具。当用户需要搜索网络信息、查找资料、获取网页内容时使用此 skill。触发场景包括：(1) 搜索网络内容 (2) 获取网页文本 (3) 使用 DuckDuckGo 搜索 (4) 抓取网页内容 (5) 配置 MCP 搜索服务器。

Why use Ducksearch on TypingMind?

Because you install it once and use it with any model. Ducksearch is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ducksearch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/Bright-Data-MCP-Claude-Skill-deep-research/tree/main/.claude/skills/ducksearch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ducksearch?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ducksearch?

As many as you like. As long as a model supports skills, you can use Ducksearch with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ducksearch AI skill free?

It is published on GitHub by liangdabiao. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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