Where are the research findings stored?

All research plans and subagent findings are saved to a dedicated local directory (e.g., research_topic_name/) to keep the project workspace organized and clutter-free.

How does the Web Research skill handle complex queries?

It analyzes the main question, breaks it into 2-5 distinct subtopics, and spawns parallel subagents to investigate each area simultaneously for maximum efficiency.

Does this skill provide citations for its findings?

Yes, the synthesis process is designed to include specific facts, relevant quotes, and direct source URLs extracted from the subagent findings.

Can it read content from specific URLs?

While subagents use web search tools, the main agent uses the fetch_url tool to extract and convert specific web page content into markdown for synthesis.

How many web searches does the agent perform?

The skill follows a budget-conscious approach, typically limiting each subagent to 3-5 web searches to ensure high-quality results without excessive resource consumption.

Web Research Agent

Name: Web Research Agent
Author: Microck

byMicrock

•

Web Scraping & Data Collection

Conducts structured, multi-threaded web research by coordinating subagents to gather and synthesize complex information into comprehensive reports.

About

This skill transforms Claude into a sophisticated research coordinator by implementing a systematic approach to information gathering across the web. It breaks down complex queries into manageable subtopics, delegates tasks to parallel subagents using the task tool, and organizes findings within a dedicated local directory structure. By emphasizing structured planning, budget-conscious searching, and file-based synthesis, it ensures that research is thorough, well-documented, and accurately cited, making it an essential tool for deep-dives into technical topics, market analysis, or comparative studies.

Key Features

Multi-threaded research using parallel subagents for faster data gathering
Automated directory and file management for organized research logs
Systematic synthesis of findings with integrated source citations
89 GitHub stars
Budget-controlled web searching to prevent API over-utilization
Structured research planning with clearly defined subtopic scopes

Use Cases

Conducting in-depth technical comparative analysis between software frameworks
Fact-checking complex, multi-faceted topics across various web sources
Gathering current market data and industry trends for business reports

About

Key Features

Multi-threaded research using parallel subagents for faster data gathering
Automated directory and file management for organized research logs
Systematic synthesis of findings with integrated source citations
89 GitHub stars
Budget-controlled web searching to prevent API over-utilization
Structured research planning with clearly defined subtopic scopes

Use Cases

Conducting in-depth technical comparative analysis between software frameworks
Fact-checking complex, multi-faceted topics across various web sources
Gathering current market data and industry trends for business reports