Multi Search Engine Integration for Openclaw

A comprehensive search integration skill that enables AI agents to query major search engines and knowledge bases without requiring API keys.

gimpy666
v1.0.0
Apr 6, 2026
0
724
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install multi-search-engine-refined

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install multi-search-engine-refined 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 Integration?

Multi Search Engine is a versatile utility designed to expand the information retrieval capabilities of AI agents. As a key component of the Openclaw Skills ecosystem, it provides a unified way to fetch data from Google, DuckDuckGo, Brave Search, and WolframAlpha. By using standard web fetch techniques, this skill eliminates the friction of managing multiple API keys and subscriptions, making it an essential tool for developers building autonomous research agents.

The skill is built to handle everything from standard web queries to complex computational tasks. Whether your agent needs the privacy of Brave and DuckDuckGo or the deep indexing and advanced operators of Google, this integration ensures high-quality data access. It serves as a bridge between the AI's internal knowledge and the real-time, ever-changing web environment facilitated by Openclaw Skills.

Multi Search Engine Integration Use Cases

  • Performing targeted code searches using site-specific operators on GitHub or StackOverflow.
  • Retrieving time-sensitive news and updates using Google's past-hour or past-day filters.
  • Conducting privacy-focused research using DuckDuckGo and Brave's independent search indexes.
  • Executing mathematical computations, unit conversions, and stock market queries via WolframAlpha.
  • Automating the discovery of specific document types like PDFs or spreadsheets for data analysis.

How Multi Search Engine Integration Works

  1. The AI agent determines the most appropriate search engine based on the query type (e.g., WolframAlpha for math, Google for broad web search).
  2. The query is cleaned and formatted into a specific URL template recognized by the target engine.
  3. A web fetch command is triggered to retrieve the search results page directly from the engine's endpoint.
  4. Advanced parameters like time filters or site operators are appended to the URL to refine the search results.
  5. The agent processes the retrieved content within the Openclaw Skills framework to provide actionable answers or relevant links.

Multi Search Engine Integration Setup

To use this skill, ensure your agent has the capability to perform web fetches. No API keys are needed for these Openclaw Skills.

# Standard usage involves calling the web_fetch tool with the generated URL
# Example for Google:
# web_fetch({"url": "https://www.google.com/search?q=your+query"})

Multi Search Engine Integration Data Schema & Taxonomy

The skill organizes its search requests using a structured URL-based schema to ensure compatibility across different engines.

Engine Endpoint Structure Primary Parameter
Google /search?q={keyword} q (query), tbs (time)
DuckDuckGo /html/?q={keyword} q (query)
Brave /search?q={keyword} q (query)
WolframAlpha /input?i={keyword} i (input)

Multi Search Engine Integration Advanced Features

  • Advanced Google Operator Support: Use site:, filetype:, and exact match quotes for precision.
  • Temporal Filtering: Access real-time data using the tbs=qdr parameter for hour, day, week, month, or year filters.
  • DuckDuckGo Bangs: Leverage !g or !brave shortcuts within DuckDuckGo queries for flexible routing.
  • Computational Knowledge: Direct integration with WolframAlpha for scientific, mathematical, and socio-economic data.
  • Zero-Config Deployment: Immediate integration into any AI workflow without the overhead of API management as part of the Openclaw Skills library.

SKILL.md


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