Researching Web

The researching-web skill enables AI agents to autonomously discover, access, and analyze information across the public internet. It bridges the gap between static knowledge bases and dynamic web content, allowing agents to retrieve real-time data, browse specific URLs, and synthesize findings from multiple sources into coherent summaries.

When to use it

• Real-time Data Retrieval: Fetching current stock prices, weather forecasts, or breaking news that isn't available in your training data.
• Competitive Analysis: Investigating competitor websites to gather pricing details, feature lists, and recent product launches.
• Fact Verification: Cross-referencing claims made in documents against live web sources to ensure accuracy.
• User Research: Scanning support forums or documentation sites to find answers to specific user questions before escalating them.

Key capabilities

• Autonomous browsing of public websites without pre-defined URLs.
• Extraction and synthesis of text from multiple web pages.
• Handling of dynamic content found on modern web applications.
• Contextual summarization of gathered web data for immediate use in tasks.

Example prompts

• "Research the latest features added to Notion in the last month and summarize them."
• "Browse the pricing page for three major cloud hosting providers and create a comparison table."
• "Find recent discussions on GitHub regarding the new React compiler API."

Tips & gotchas

This skill relies entirely on public internet access; it cannot log into private intranets or access content behind authentication walls unless you provide specific credentials. For best results, frame your requests to ask for summaries rather than raw page dumps, as agents synthesize information more effectively when given a clear goal.