web-research

Automate web research via search queries, content fetching, and multi-page crawling.

Updated Jun 22, 2026
One-click install
npx skills add https://github.com/alangeb/tau --skill web-research-alangeb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-research
Source: https://github.com/alangeb/tau/tree/main/src/skills/web-research
Command: npx skills add https://github.com/alangeb/tau --skill web-research-alangeb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the inefficiency of manual web research by automating the process of searching, fetching, and summarizing information from the internet.

Core Features & Use Cases

  • Automated Search: Execute multi-query searches across DuckDuckGo and Wikipedia to gather broad information.
  • Content Extraction: Fetch and parse raw web page content into clean, readable text for analysis.
  • Use Case: Use this tool to research a new technology by generating a list of search queries, fetching the top documentation pages, and summarizing the key findings into a single report.

Quick Start

Use the web-research skill to search for the latest developments in quantum computing and summarize the top three results.

Frequently Asked Questions about web-research

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

FAQPage Schema
How do I automate web search and content extraction for research?

Automate web search and content extraction by executing multi-query searches across DuckDuckGo and Wikipedia, fetching top URLs, and parsing raw page content into clean readable text for summarization.

Can I fetch and parse raw web page content into readable text automatically?

Fetch and parse raw web page content into readable text automatically through URL content fetching and multi-page crawling, facilitating research workflows by aggregating facts from online data sources.

How does automated web scraping handle multi-page crawling and data aggregation?

Automated web scraping handles multi-page crawling by generating search queries, fetching documentation pages, and aggregating extracted article content into a summarized single report of key findings.

Do I need external search and scraping tools to perform automated web research?

External search and scraping tools are required to perform automated web research, interfacing through standard library subprocess execution to execute queries and extract online data.

What's the best way to summarize online data from multiple search engine queries?

Summarize online data from multiple search engine queries by aggregating facts across broad information sources like Wikipedia and DuckDuckGo, then extracting and summarizing key findings into a single report.

What are the limitations of using subprocess execution for web scraping and search automation?

Limitations of subprocess execution for web scraping include dependency on external search and scraping tool availability, requiring standard library execution to interface successfully with external data gathering utilities.