qingyan_research_report

Conduct multi-step web research and generate HTML reports with interactive charts.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Layo-DamzD/SuperZ-AI --skill qingyan-research-report-layo-damzd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qingyan_research_report
Source: https://github.com/Layo-DamzD/SuperZ-AI/tree/main/backend/server/aura-skills/skills/qingyan-research
Command: npx skills add https://github.com/Layo-DamzD/SuperZ-AI --skill qingyan-research-report-layo-damzd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Researchers and analysts often face the challenge of collecting, analyzing, and presenting complex web-based information in a clear and structured manner.

Core Features & Use Cases

  • Deep Web Research: Conducts multi-step searches, deep reading, and logical reasoning to explore open-ended questions systematically.
  • Report Generation: Creates publication-quality HTML research reports with professional UI/UX standards, including typography, colors, layout, and interactive visualizations.
  • Versatile Data Visualization: Supports creating interactive charts with Chart.js based on extracted statistical data, enhancing data presentation clarity.

Quick Start

Describe the research topic, gather relevant online data, and generate a structured, visually appealing HTML report summarizing the findings.

Frequently Asked Questions about qingyan_research_report

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate web research and generate an HTML report from multiple sources?

Automate web research by using multi-step searches, deep reading, and logical reasoning to extract data, then compile the findings into a structured HTML report with interactive visualizations.

Can I create interactive data visualizations in my generated research reports?

Yes, you can create interactive data visualizations. The report generation process supports Chart.js to build interactive charts based on extracted statistical data for enhanced presentation clarity.

What is the best way to systematically analyze open-ended questions from web data?

Systematic analysis of open-ended questions is achieved through deep web exploration and critical thinking, applying multi-layered searches and logical reasoning to integrate multiple data sources.

Does the report generation process support professional layout and UI standards?

Yes, the report generation process supports professional UI/UX standards. It ensures publication-quality HTML documents by applying structured typography, colors, and layout design to the research findings.

How do I conduct deep reading and multi-step searches for scholarly inquiry?

Conduct deep reading and multi-step searches by systematically exploring open-ended questions online, gathering relevant data, and applying critical thinking to synthesize complex web-based information.