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.

170 stars

Best use case

multi-search-engine is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using multi-search-engine should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/multi-search-engine/SKILL.md --create-dirs "https://raw.githubusercontent.com/adoresever/AGI_Ananas/main/26.2.25OpenClaw开源免费搜索引擎Skills/multi-search-engine/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/multi-search-engine/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How multi-search-engine Compares

Feature / Agentmulti-search-engineStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this 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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

| Operator | Example | Description |
|----------|---------|-------------|
| `site:` | `site:github.com python` | Search within site |
| `filetype:` | `filetype:pdf report` | Specific file type |
| `""` | `"machine learning"` | Exact match |
| `-` | `python -snake` | Exclude term |
| `OR` | `cat OR dog` | Either term |

## Time Filters

| Parameter | Description |
|-----------|-------------|
| `tbs=qdr:h` | Past hour |
| `tbs=qdr:d` | Past day |
| `tbs=qdr:w` | Past week |
| `tbs=qdr:m` | Past month |
| `tbs=qdr:y` | Past year |

## Privacy Engines

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

## Bangs Shortcuts (DuckDuckGo)

| Bang | Destination |
|------|-------------|
| `!g` | Google |
| `!gh` | GitHub |
| `!so` | Stack Overflow |
| `!w` | Wikipedia |
| `!yt` | YouTube |

## 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

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