How does this skill differ from standard AI web searching?

This skill uses a structured workflow that includes multi-perspective queries, specific report templates, and a mandatory quality control phase to ensure depth and credibility.

How is the quality of the research verified?

The workflow includes a mandatory QC step where the 'qa-skill-qc' subagent evaluates the findings against a specific set of criteria before finalizing the report.

What is the role of the subagent in this skill?

The web-search subagent is responsible for the heavy lifting of executing search queries, visiting sites, and organizing raw data into a preliminary report format.

Can I define the scope of the research?

Yes, the 'Preflight' step requires defining the theme, purpose, target audience, and specific inclusions or exclusions before the search begins.

Web Research Agent

Name: Web Research Agent
Author: matsuni-kk

bymatsuni-kk

0•

网络抓取与数据收集

Executes multi-perspective web searches and generates structured research reports with source attribution and uncertainty analysis.

This skill empowers Claude to perform high-quality, structured web research by delegating tasks to a specialized subagent workflow. It moves beyond simple keyword searching by enforcing a protocol that identifies research objectives, utilizes multiple query perspectives, and cross-references sources. The skill ensures professional-grade output by requiring the documentation of source URLs, publication dates, and levels of uncertainty, while utilizing a built-in quality control mechanism to validate results against defined evaluation criteria.

主要功能

01Standardized report generation including source URLs and publication dates

02Integrated Quality Control (QC) loop for accuracy verification

03Uncertainty mapping to highlight information gaps and conflicting data

04Multi-perspective query generation for exhaustive information gathering

050 GitHub stars

06Automated delegation to specialized web-search subagents

使用场景

01Investigating specific coding errors or architectural patterns across various web sources

02Fact-checking technical documentation and library compatibility across multiple versions

03Conducting deep-dive market research and competitive analysis for new projects

主要功能

01Standardized report generation including source URLs and publication dates

02Integrated Quality Control (QC) loop for accuracy verification

03Uncertainty mapping to highlight information gaps and conflicting data

04Multi-perspective query generation for exhaustive information gathering

050 GitHub stars

06Automated delegation to specialized web-search subagents

使用场景

01Investigating specific coding errors or architectural patterns across various web sources

02Fact-checking technical documentation and library compatibility across multiple versions

03Conducting deep-dive market research and competitive analysis for new projects