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Multi Search Engine

Community
szsip239
multi-search-engine

Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.

Overview

Publisherszsip239
Repositoryteamclaw
Skill namemulti-search-engine
Stars
112
Forks
17
Bundled files
5
LicenseMIT
Links
  • 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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by szsip239 on GitHub. Read the source before you install it.

Installation

Install the Multi Search Engine 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/szsip239/teamclaw/tree/main/data/skills/multi-search-engine
  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/szsip239/teamclaw.git /tmp/teamclaw
mkdir -p .claude/skills
cp -r /tmp/teamclaw/data/skills/multi-search-engine .claude/skills/multi-search-engine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multi Search Engine 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 Multi Search Engine 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 Multi Search Engine 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.

Multi Search Engine v2.0.1

Integration of 17 search engines for web crawling without API keys.

Search Engines

Domestic (8)

  • Baidu: https://www.baidu.com/s?wd={keyword}
  • Bing CN: https://cn.bing.com/search?q={keyword}&ensearch=0
  • Bing INT: https://cn.bing.com/search?q={keyword}&ensearch=1
  • 360: https://www.so.com/s?q={keyword}
  • Sogou: https://sogou.com/web?query={keyword}
  • WeChat: https://wx.sogou.com/weixin?type=2&query={keyword}
  • Toutiao: https://so.toutiao.com/search?keyword={keyword}
  • Jisilu: https://www.jisilu.cn/explore/?keyword={keyword}

International (9)

  • Google: https://www.google.com/search?q={keyword}
  • Google HK: https://www.google.com.hk/search?q={keyword}
  • DuckDuckGo: https://duckduckgo.com/html/?q={keyword}
  • Yahoo: https://search.yahoo.com/search?p={keyword}
  • Startpage: https://www.startpage.com/sp/search?query={keyword}
  • Brave: https://search.brave.com/search?q={keyword}
  • Ecosia: https://www.ecosia.org/search?q={keyword}
  • Qwant: https://www.qwant.com/?q={keyword}
  • WolframAlpha: https://www.wolframalpha.com/input?i={keyword}

Quick Examples

javascript
// Basic search
web_fetch({"url": "https://www.google.com/search?q=python+tutorial"})

// Site-specific
web_fetch({"url": "https://www.google.com/search?q=site:github.com+react"})

// File type
web_fetch({"url": "https://www.google.com/search?q=machine+learning+filetype:pdf"})

// Time filter (past week)
web_fetch({"url": "https://www.google.com/search?q=ai+news&tbs=qdr:w"})

// Privacy search
web_fetch({"url": "https://duckduckgo.com/html/?q=privacy+tools"})

// DuckDuckGo Bangs
web_fetch({"url": "https://duckduckgo.com/html/?q=!gh+tensorflow"})

// Knowledge calculation
web_fetch({"url": "https://www.wolframalpha.com/input?i=100+USD+to+CNY"})

Advanced Operators

OperatorExampleDescription
site:site:github.com pythonSearch within site
filetype:filetype:pdf reportSpecific file type
"""machine learning"Exact match
-python -snakeExclude term
ORcat OR dogEither term

Time Filters

ParameterDescription
tbs=qdr:hPast hour
tbs=qdr:dPast day
tbs=qdr:wPast week
tbs=qdr:mPast month
tbs=qdr:yPast year

Privacy Engines

  • DuckDuckGo: No tracking
  • Startpage: Google results + privacy
  • Brave: Independent index
  • Qwant: EU GDPR compliant

Bangs Shortcuts (DuckDuckGo)

BangDestination
!gGoogle
!ghGitHub
!soStack Overflow
!wWikipedia
!ytYouTube

WolframAlpha Queries

  • Math: integrate x^2 dx
  • Conversion: 100 USD to CNY
  • Stocks: AAPL stock
  • Weather: weather in Beijing

Documentation

  • references/advanced-search.md - Domestic search guide
  • references/international-search.md - International search guide
  • CHANGELOG.md - Version history

License

MIT

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Multi Search Engine AI skill do?

Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.

Why use Multi Search Engine on TypingMind?

Because you install it once and use it with any model. Multi Search Engine 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 Multi Search Engine in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/szsip239/teamclaw/tree/main/data/skills/multi-search-engine. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Multi Search Engine?

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 Multi Search Engine?

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

Is the Multi Search Engine AI skill free?

Yes. It is published on GitHub by szsip239 under the MIT license. 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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