Does this skill provide citations for its findings?

Yes, subagents are instructed to record source URLs and key facts, which are then integrated into the final synthesized response or report.

Can I run multiple research tasks at the same time?

The skill is optimized to run up to 3 research subagents in parallel, allowing for efficient multi-threaded data collection.

Where are the research results stored?

All research plans, individual findings, and final reports are saved in a dedicated local folder (e.g., research_topic-name) within your project directory.

How does this skill handle complex research topics?

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

What tools are required for this skill to function?

It utilizes the task tool to spawn agents, web_search for data gathering, and file system tools (write_file/read_file) for organizing the research data.

Structured Web Research

Name: Structured Web Research
Author: Microck

byMicrock

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网络抓取与数据收集

Conducts deep web investigations by delegating tasks to specialized subagents and synthesizing findings into organized reports.

关于

This skill empowers Claude to perform complex, multi-layered web research by implementing a systematic, agentic workflow. It automates the process of breaking down broad research queries into distinct subtopics, spawning parallel subagents to gather data, and organizing all findings into a structured local directory. By leveraging file-based communication and local storage, it ensures that research is thorough, well-documented, and easy to synthesize into comprehensive reports with clear citations, making it ideal for market analysis, technical deep-dives, and competitive research.

主要功能

File-based findings management for reliable data persistence
Systematic synthesis of information with source citations
Integrated budget management to prevent over-searching
Automated research planning with dedicated project folders
Parallel subagent delegation for faster multi-source data gathering
81 GitHub stars

使用场景

Conducting comparative market analysis across multiple competitors
Performing deep-dive investigations into complex scientific or academic topics
Gathering current technical documentation and best practices for new frameworks

关于

主要功能

File-based findings management for reliable data persistence
Systematic synthesis of information with source citations
Integrated budget management to prevent over-searching
Automated research planning with dedicated project folders
Parallel subagent delegation for faster multi-source data gathering
81 GitHub stars

使用场景

Conducting comparative market analysis across multiple competitors
Performing deep-dive investigations into complex scientific or academic topics
Gathering current technical documentation and best practices for new frameworks