A comprehensive search integration providing API-less access to 17 global and domestic engines with advanced filtering capabilities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install workspace-main
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install workspace-main using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Multi Search Engine?
The Multi Search Engine skill for Openclaw Skills is a high-performance integration that enables AI agents to query 17 distinct search engines without the need for individual API keys. By covering 8 major Chinese platforms (like Baidu, WeChat, and Toutiao) and 9 international powerhouses (including Google, DuckDuckGo, and WolframAlpha), it provides a truly global information retrieval layer. This skill is optimized for developers who need to implement web crawling, market research, or technical data gathering across diverse geographical and linguistic regions.\n\nUnlike traditional search APIs that impose strict rate limits and costs, this approach leverages direct URL structures to fetch raw search results. It empowers your AI agent to act as a sophisticated research assistant capable of navigating privacy-focused engines like Startpage or performing complex computational queries via WolframAlpha. Within the Openclaw Skills ecosystem, this tool serves as the primary gateway for real-time web awareness and deep-dive data extraction.
Multi Search Engine Use Cases
- Conduct cross-border market analysis by simultaneously searching Chinese platforms like Baidu and global engines like Google.\n- Perform privacy-sensitive research using specialized engines like DuckDuckGo, Startpage, and Brave to avoid tracking.\n- Monitor real-time social trends and niche content within the WeChat and Toutiao ecosystems.\n- Retrieve technical documentation and code examples quickly using DuckDuckGo Bangs for GitHub and Stack Overflow.\n- Resolve complex mathematical or unit conversion queries using the WolframAlpha integration.
How Multi Search Engine Works
- The AI agent receives a user query requiring external information and selects the most relevant search engine from the supported list.\n2. The skill constructs a precisely formatted URL incorporating the search term and any required advanced operators.\n3. The agent executes a web fetch command to the generated URL to access the search results page.\n4. Optional filters such as time range or file type are appended to the URL to narrow down results according to the user's specific needs.\n5. The resulting content is parsed and synthesized by the agent to provide a comprehensive answer or to trigger further automated workflows.
Multi Search Engine Setup
Integrating this skill into your Openclaw Skills environment requires no external API credentials. You can implement the search logic directly within your agent's toolkit using the provided URL patterns. To test a search workflow, you can use a bash-like execution environment or internal script calls:\n\nbash\n# No separate package installation is required for these API-less integrations.\n# Simply map your agent's search tool to the following URL patterns.\n\n\nExample implementation for a Google search with time filtering:\njavascript\nweb_fetch({"url": "https://www.google.com/search?q=open+source+llm&tbs=qdr:w"})\n
Multi Search Engine Data Schema & Taxonomy
The skill organizes its search requests through a standardized set of URL parameters and operators. This allows for consistent data retrieval across different engines. The following table highlights the primary data organization features:\n\n| Feature | Parameter | Example Syntax |\n|---------|-----------|----------------|\n| Keyword | q / wd | q=blockchain+technology |\n| Domain Lock | site: | site:stackoverflow.com |\n| Document Filter | filetype: | filetype:pdf |\n| Exact Match | "" | \"generative ai\" |\n| Time Range | tbs=qdr: | tbs=qdr:m (Past Month) |\n| Bang Redirects | ! | !gh (GitHub), !yt (YouTube) |
Multi Search Engine Advanced Features
- Multi-region support covering 17 engines across both domestic Chinese and international web indexes.\n- Full support for advanced Google-style search operators including site-specific search, file type filtering, and term exclusion.\n- Native integration with privacy-first engines including Qwant (GDPR compliant) and Brave Search.\n- DuckDuckGo Bangs support for instant redirection to hundreds of specific sites like Wikipedia or GitHub.\n- Deep knowledge integration with WolframAlpha for handling mathematical formulas, stock data, and weather queries.\n- granular time filtering ranging from the past hour to the past year to ensure data freshness.
SKILL.md
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