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Get Started Free →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.
.claude/skills/multi-search-engine/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | — | — |
| case-01 | ✗→✓ | ▲ Improved | — | — |
| case-11 | ✗→✓ | ▲ Improved | — | — |
| case-05 | ✗→✓ | ▲ Improved | — | — |
| case-13 | ✗→✗ | = Same ✗ | — | — |
Integration of 17 search engines for web crawling without API keys.
https://www.baidu.com/s?wd={keyword}https://cn.bing.com/search?q={keyword}&ensearch=0https://cn.bing.com/search?q={keyword}&ensearch=1https://www.so.com/s?q={keyword}https://sogou.com/web?query={keyword}https://wx.sogou.com/weixin?type=2&query={keyword}https://so.toutiao.com/search?keyword={keyword}https://www.jisilu.cn/explore/?keyword={keyword}https://www.google.com/search?q={keyword}https://www.google.com.hk/search?q={keyword}https://duckduckgo.com/html/?q={keyword}https://search.yahoo.com/search?p={keyword}https://www.startpage.com/sp/search?query={keyword}https://search.brave.com/search?q={keyword}https://www.ecosia.org/search?q={keyword}https://www.qwant.com/?q={keyword}https://www.wolframalpha.com/input?i={keyword}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"})
| 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 |
| 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 |
| Bang | Destination | |------|-------------| | !g | Google | | !gh | GitHub | | !so | Stack Overflow | | !w | Wikipedia | | !yt | YouTube |
integrate x^2 dx100 USD to CNYAAPL stockweather in Beijingreferences/advanced-search.md - Domestic search guidereferences/international-search.md - International search guideCHANGELOG.md - Version historyMIT
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-13 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-23 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +17 percentage points is the difference between those two pass rates over the 23 comparable cases.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.