web-search

Search the web and fetch page content as markdown.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/TheTesseractAI/19 --skill web-search-thetesseractai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/TheTesseractAI/19/tree/main/.local/skills/web-search
Command: npx skills add https://github.com/TheTesseractAI/19 --skill web-search-thetesseractai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables real-time web searching and content retrieval to access the latest information beyond training data.

Core Features & Use Cases

  • Web Search: Perform searches using natural language queries to obtain relevant links and summaries.
  • Content Fetching: Retrieve and convert webpage content into markdown for further analysis or display.
  • Use Case: For example, when needing the latest news updates about a specific event, initiate a web search with a question, then fetch the top relevant page content.

Quick Start

To find the latest article about a current event, first search using a natural language question, then fetch the full content from the most relevant URL.

Frequently Asked Questions about web-search

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

FAQPage Schema
Can I retrieve and convert webpage content into markdown?

You can fetch real-time web information by initiating a natural language search query to obtain relevant URLs, then fetching and converting the webpage content into markdown for analysis.

What is the best way to search for the latest news using natural language?

Yes, fetching web content requires active network access to reach external sites and web content parsing libraries to extract and convert the retrieved HTML into readable markdown.

What are the limitations of web search for dynamic decision-making?

To retrieve the latest news updates, perform a web search using a natural language question, then fetch the full content from the most relevant URL returned in the search results.

How do I fetch real-time web information for fact verification?

Limitations of web search include dependency on continuous network access and the effectiveness of content parsing libraries, which may vary when processing complex or dynamically rendered webpages.