How does this skill handle multiple research topics?

The skill breaks down a main query into 2-5 distinct subtopics and assigns them to parallel subagents for efficient, non-overlapping information gathering.

Where are the research results stored?

All findings are saved locally in a dedicated directory (e.g., research_[topic_name]/) as markdown files, ensuring results are preserved for synthesis and future reference.

Does this skill cite its sources?

Yes, the synthesis process is designed to integrate insights from all subtopics and include specific source URLs retrieved by the research subagents.

Can I limit the number of web searches?

Yes, the skill is configured to use a default budget of 3-5 searches per subagent to ensure focused results and prevent excessive API usage.

Structured Web Research

Name: Structured Web Research
Author: Activer007

byActiver007

Web Scraping & Data Collection

Orchestrates parallel subagents to conduct systematic, well-documented web research and synthesize findings into comprehensive reports.

About

This skill transforms Claude into a research coordinator by implementing a rigorous three-step workflow: planning, parallel delegation, and synthesis. It automatically organizes research into dedicated directories, creates structured investigation plans, and spawns specialized subagents to handle specific subtopics concurrently. By leveraging file-based communication between agents and enforcing search budgets, it ensures thorough, well-documented, and cost-effective investigations for technical, scientific, or market-related queries.

Key Features

Subagent Orchestration: Spawns and manages parallel research tasks for efficient information gathering.
Systematic Synthesis: Aggregates data from multiple local source files into a cohesive final response with citations.
Structured File Management: Automatically organizes plans, findings, and reports in dedicated local directories.
Parallel Execution: Runs multiple subagents simultaneously to significantly reduce research latency.
Search Budget Control: Enforces limits on web searches per subtopic to ensure focused and relevant data retrieval.
0 GitHub stars

Use Cases

Conducting deep-dive technical research on emerging libraries or software frameworks.
Gathering and synthesizing scientific data from disparate web sources for technical reports.
Performing comparative market analysis across multiple products or competitors.

About

Key Features

Subagent Orchestration: Spawns and manages parallel research tasks for efficient information gathering.
Systematic Synthesis: Aggregates data from multiple local source files into a cohesive final response with citations.
Structured File Management: Automatically organizes plans, findings, and reports in dedicated local directories.
Parallel Execution: Runs multiple subagents simultaneously to significantly reduce research latency.
Search Budget Control: Enforces limits on web searches per subtopic to ensure focused and relevant data retrieval.
0 GitHub stars

Use Cases

Conducting deep-dive technical research on emerging libraries or software frameworks.
Gathering and synthesizing scientific data from disparate web sources for technical reports.
Performing comparative market analysis across multiple products or competitors.