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XJTLUmedia
XJTLUmediaCOMMUNITY
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web-search

Execute targeted web searches with customizable result limits and recency filters.

28|1|Updated Jan 6, 2026
Search Tags:#information retrieval#web search#real-time data#backend integration#z-ai-web-dev-sdk#search automation#result filtering
One-click install
npx skills add https://github.com/XJTLUmedia/Modernblog --skill web-search-xjtlumedia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/XJTLUmedia/Modernblog/tree/main/skills/web-search
Command: npx skills add https://github.com/XJTLUmedia/Modernblog --skill web-search-xjtlumedia

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill eliminates the need for manual browser searches to access current, real-time information that is not available in static knowledge bases, enabling developers and researchers to integrate up-to-date web data directly into their applications and workflows.

Core Features & Use Cases

  • Flexible Web Search Execution: Run targeted web searches via CLI or SDK, with support for custom result counts, recency filters, and output to JSON files for quick lookups or automation.
  • Structured Result Processing: Retrieve search results with standardized metadata including URLs, snippets, domain names, and publication dates, with built-in tools for filtering, sorting, and validating result quality.
  • Production-Ready Integration Patterns: Access pre-built examples for integrating web search into Express.js APIs, adding AI-powered summarization of search results, and implementing guardrails like caching, rate limiting, and error retries for production use cases.

Quick Start

Use the web-search skill to run a search for the top 3 most recent results about "2024 AI regulation updates" and return a formatted list of result titles, URLs, and snippets.

Frequently Asked Questions about web-search

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

FAQPage Schema
How do I integrate real-time web search results into a backend application?▼

You can integrate real-time web search results into a backend application by using the z-ai-web-dev-sdk to execute targeted queries, apply recency filters, and process structured metadata for workflows requiring up-to-date data.

Can I filter web search results by recency and limit the count via SDK?▼

Yes, you can filter web search results by recency and limit the count via the SDK, enabling customizable retrieval of current information with structured metadata like URLs, snippets, and publication dates.

What is the best way to automate information retrieval for competitive analysis?▼

Automating information retrieval for competitive analysis is best handled by executing targeted web searches via CLI or SDK, outputting structured results to JSON files for quick lookups, sorting, and validating.

Does z-ai-web-dev-sdk support adding guardrails like caching and rate limiting for web search?▼

Yes, z-ai-web-dev-sdk supports adding guardrails like caching, rate limiting, and error retries for web search, providing production-ready integration patterns for Express.js APIs and backend applications.

How do I process structured metadata from web search queries for academic research?▼

You process structured metadata from web search queries for academic research by retrieving standardized data including URLs, snippets, and domain names, then using built-in tools for filtering and validating result quality.

What are the limitations of using static knowledge bases for fact-checking?▼

Static knowledge bases lack current information for fact-checking, requiring real-time web search execution to retrieve up-to-date data beyond static limitations and ensure accurate competitive analysis.

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