How does the Web Research skill handle complex topics?

It analyzes the main research question and breaks it down into 2-5 non-overlapping subtopics, assigning each to a specialized subagent for deep investigation.

Does this skill provide citations for its findings?

Yes, the synthesis process is designed to integrate insights from all subagents while citing specific source URLs found during the research phase.

Where are the research results stored?

All plans, findings, and reports are saved in a dedicated local folder named 'research_[topic_name]' within your current working directory to keep files organized.

Can I run multiple research tasks at once?

The skill is optimized to run up to 3 research subagents in parallel, allowing for efficient and rapid data collection across different subtopics.

How many searches does each subagent perform?

By default, subagents are configured with a budget of 3-5 web searches to ensure deep coverage without excessive API usage or information noise.

Web Research Assistant

Name: Web Research Assistant
Author: Activer007

byActiver007

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Web Scraping & Data Collection

Orchestrates parallel subagents to perform structured, multi-source web investigations and synthesize findings into comprehensive reports.

About

The Web Research skill transforms Claude into a sophisticated research architect capable of handling complex information gathering tasks. By breaking down broad queries into distinct subtopics, it spawns parallel subagents to search the web, saves findings to local markdown files for organization, and synthesizes the results into a cohesive final report. This systematic approach ensures thorough coverage of a topic, prevents information loss, and provides clear citations for all gathered data, making it ideal for deep-dives and comparative analyses.

Key Features

1 GitHub stars
Structured research planning with dedicated project folders
Synthesis of multiple data points with source citations
Parallel subagent execution for faster data collection
Automated local storage of findings in markdown format
Configurable search budgets to ensure efficient information retrieval

Use Cases

Gathering and synthesizing current event data from diverse web sources for reports
Performing deep-dive technical research on emerging software frameworks
Conducting multi-faceted comparative market analysis across various brands

About

Key Features

1 GitHub stars
Structured research planning with dedicated project folders
Synthesis of multiple data points with source citations
Parallel subagent execution for faster data collection
Automated local storage of findings in markdown format
Configurable search budgets to ensure efficient information retrieval

Use Cases

Gathering and synthesizing current event data from diverse web sources for reports
Performing deep-dive technical research on emerging software frameworks
Conducting multi-faceted comparative market analysis across various brands