How does the Web Research skill handle complex topics?

It breaks down a complex question into 2-5 non-overlapping subtopics and assigns each to a research subagent for targeted investigation.

Does this skill provide citations for its findings?

Yes, subagents are specifically instructed to record source URLs and key facts, which are then integrated into the final synthesis for verifiability.

Can I control the depth of the research?

Yes, the skill uses a search budget (typically 3-5 searches per subtopic) to ensure the agent remains focused and efficient without over-searching.

What is the benefit of using subagents for research?

Subagents allow for parallel data gathering, which significantly speeds up the research process compared to a single sequential search thread.

How does it keep research organized?

The skill creates a dedicated research directory for every project, storing plans, subagent findings, and final reports in separate Markdown files.

Structured Web Research

Name: Structured Web Research
Author: Activer007

byActiver007

Web Scraping & Data Collection

Conducts systematic web investigations by deploying parallel subagents to gather, verify, and synthesize information from multiple sources.

About

This skill provides a rigorous framework for Claude to handle complex research queries by breaking them down into manageable subtasks. It implements a three-stage workflow: first, creating a dedicated research folder and plan; second, spawning parallel subagents to perform targeted web searches; and finally, synthesizing localized findings into a comprehensive report with full citations. This systematic approach ensures that research is organized, non-redundant, and verifiable through file-based logging of sources and facts.

Key Features

Configurable search budgets per subtopic to prevent bloat
Comprehensive synthesis of findings with source URL citations
Parallel subagent execution for faster data gathering
Automated research planning and subtopic decomposition
File-based information persistence for systematic review
0 GitHub stars

Use Cases

Creating deep-dive technical reports on emerging technologies or scientific topics
Performing comparative analysis of competing software libraries or frameworks
Gathering and organizing current market intelligence from various web sources

About

Key Features

Configurable search budgets per subtopic to prevent bloat
Comprehensive synthesis of findings with source URL citations
Parallel subagent execution for faster data gathering
Automated research planning and subtopic decomposition
File-based information persistence for systematic review
0 GitHub stars

Use Cases

Creating deep-dive technical reports on emerging technologies or scientific topics
Performing comparative analysis of competing software libraries or frameworks
Gathering and organizing current market intelligence from various web sources