web-search

Retrieve real-time web search results with URLs, snippets, and recency filtering.

Updated May 30, 2026
One-click install
npx skills add https://github.com/zeroix07/mcp-skill-agent --skill web-search-zeroix07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/zeroix07/mcp-skill-agent/tree/main/web-search
Command: npx skills add https://github.com/zeroix07/mcp-skill-agent --skill web-search-zeroix07

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

This skill solves the problem of limited access to current, up-to-date information beyond the AI's knowledge cutoff, allowing users to retrieve real-time web data, latest news, and niche facts on demand.

Core Features & Use Cases

  • Structured Search Results: Returns search results with URLs, snippets, publication dates, and domain metadata for easy integration into workflows.
  • Flexible Filtering: Supports adjusting the number of results and filtering by recency to get only the most relevant, timely information.
  • Use Case: If you need the latest tech industry updates from the past 24 hours, or current data on a specialized topic not covered in training data, this skill delivers accurate, timely results.

Quick Start

Use the web-search skill to find the 3 most recent news articles about AI breakthroughs published in the last 24 hours.

Frequently Asked Questions about web-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get real-time web search results to overcome AI knowledge cutoff limitations?

Real-time web search results overcome static knowledge cutoff limitations by retrieving current web data on demand. This skill fetches up-to-date information, latest news, and niche facts, returning structured results with URLs and snippets for immediate integration.

Can I filter web search results by publication date and recency?

Filtering web search results by recency is fully supported to ensure you get only the most relevant, timely information. You can adjust the result count and apply recency filtering to retrieve articles published within specific timeframes, such as the past 24 hours.

What metadata is included with structured web search results?

Structured web search results include URLs, snippets, publication dates, and domain metadata. This structured format allows for easy integration into various workflows, enabling efficient fact verification, current news lookup, and recent topic research.

How do I retrieve current news articles about recent topic research using web search?

Retrieving current news articles for recent topic research involves querying the web search skill with your specific subject. It gathers live data, supporting use cases like current news lookup and fact verification, returning structured results with publication dates.

Does the z-ai-web-dev-sdk dependency support fact checking and live data gathering?

The z-ai-web-dev-sdk dependency supports fact checking and live data gathering by enabling real-time information retrieval from the web. It allows users to fetch current data on specialized topics not covered in static training data.

What is the best way to integrate real-time web data into analysis tasks?

The best way to integrate real-time web data into analysis tasks is using structured search results with URLs and domain metadata. This allows seamless workflow integration for gathering live data, verifying facts, and retrieving current news efficiently.