Access 17 search engines (8 Chinese, 9 global) without API keys for web crawling and knowledge queries.
Works with
Supports advanced search operators (site:, filetype:, exact match, exclusion, OR logic) and time filters (past hour to year)
Includes privacy-focused engines (DuckDuckGo, Startpage, Brave, Qwant) and WolframAlpha for calculations, conversions, and structured data
DuckDuckGo Bangs enable quick shortcuts to GitHub, Stack Overflow, Wikipedia, YouTube, and other destinations
Covers
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmulti-search-engineExecute the skills CLI command in your project's root directory to begin installation:
Fetches multi-search-engine from aaaaqwq/claude-code-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate multi-search-engine. Access via /multi-search-engine in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
39
total installs
39
this week
31
GitHub stars
0
upvotes
Run in your terminal
39
installs
39
this week
31
stars
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}// 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 |
|
!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
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Keeps context tight: multi-search-engine is the kind of skill you can hand to a new teammate without a long onboarding doc.
multi-search-engine is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
multi-search-engine reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for multi-search-engine matched our evaluation — installs cleanly and behaves as described in the markdown.
multi-search-engine reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for multi-search-engine matched our evaluation — installs cleanly and behaves as described in the markdown.
multi-search-engine fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: multi-search-engine is focused, and the summary matches what you get after install.
multi-search-engine is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
multi-search-engine has been reliable in day-to-day use. Documentation quality is above average for community skills.
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