How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does multi-search-engine support?

multi-search-engine works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is multi-search-engine free to use?

Yes. multi-search-engine is free to install and use. It is available from the open explainx.ai skill registry published by aaaaqwq.

Where can I read ratings and reviews for multi-search-engine?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install multi-search-engine?

Run `npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

multi-search-engine▌

aaaaqwq/claude-code-skills · updated Jun 3, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine

0 commentsdiscussion

summary

Access 17 search engines (8 Chinese, 9 global) without API keys for web crawling and knowledge queries.

›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

skill.md

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

// 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

how to use multi-search-engine

How to use multi-search-engine on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add multi-search-engine

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aaaaqwq/claude-code-skills --skill multi-search-engine

The skills CLI fetches multi-search-engine from GitHub repository aaaaqwq/claude-code-skills and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/multi-search-engine

Reload or restart Cursor to activate multi-search-engine. Access the skill through slash commands (e.g., /multi-search-engine) or your agent's skill management interface.

⚠

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

1.Install product management skill
2.Start with user story generation for known feature
3.Progress to competitive analysis: research 2-3 competitors
4.Use for roadmap prioritization: apply RICE/ICE scoring
5.Draft stakeholder communications and refine based on feedback
6.Build template library for recurring PM tasks
7.Share effective prompts with product team

Common Pitfalls

⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition

✗ Don't

−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture

💡 Pro Tips

★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ 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.

Learning Path▌

1Basic: user stories, feature specs, status updates
2Intermediate: competitive analysis, prioritization frameworks, PRDs
3Advanced: product strategy, go-to-market planning, OKR setting
4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.6★★★★★25 reviews

★★★★★Sakshi Patil· Dec 16, 2024
Keeps context tight: multi-search-engine is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Luis Singh· Dec 8, 2024
multi-search-engine is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Henry Abebe· Nov 27, 2024
multi-search-engine reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Chaitanya Patil· Nov 7, 2024
Registry listing for multi-search-engine matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Piyush G· Oct 26, 2024
multi-search-engine reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Luis Ghosh· Oct 18, 2024
Registry listing for multi-search-engine matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Chen Sethi· Oct 18, 2024
multi-search-engine fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Sofia Bansal· Sep 9, 2024
Solid pick for teams standardizing on skills: multi-search-engine is focused, and the summary matches what you get after install.
★★★★★Chen Taylor· Sep 9, 2024
multi-search-engine is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Kaira Agarwal· Aug 28, 2024
multi-search-engine has been reliable in day-to-day use. Documentation quality is above average for community skills.

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