qingyan-research

Gather multi-source web information and generate HTML research reports with Chart.js visualizations.

Updated May 30, 2026
One-click install
npx skills add https://github.com/zeroix07/mcp-skill-agent --skill qingyan-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qingyan-research
Source: https://github.com/zeroix07/mcp-skill-agent/tree/main/qingyan-research
Command: npx skills add https://github.com/zeroix07/mcp-skill-agent --skill qingyan-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually gathering scattered web information, verifying its credibility, and compiling it into a structured, visually professional research report is extremely time-consuming and prone to omissions or logical errors. This skill automates the entire end-to-end research workflow to deliver high-quality, publication-ready outputs.

Core Features & Use Cases

  • Critical thinking-driven research: Dynamically adjusts search and reading strategies through continuous reflection to ensure comprehensive, authoritative information coverage for open-ended questions.
  • Standardized HTML report generation: Produces responsive, publication-quality HTML reports with unified typography, layout, and interactive elements, eliminating the need for manual formatting.
  • Integrated data visualization: Automatically generates interactive Chart.js charts for extracted statistical data to make research findings more intuitive.
  • Use Case: When you need to research the development status and future trends of the global artificial intelligence chip market, this skill can automatically complete multi-round search, deep reading of authoritative sources, data analysis, and generate a structured, visually clear HTML research report for you.

Quick Start

Use the qingyan-research skill to conduct a systematic study of the impact of remote work on urban commercial real estate and generate a complete HTML research report.

Frequently Asked Questions about qingyan-research

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 with data visualizations?

Automating web research and HTML report generation involves using tools that perform systematic multi-source information gathering, apply critical analysis, and compile structured findings with integrated interactive Chart.js visualizations.

What is critical thinking-driven research for open-ended questions?

Critical thinking-driven research dynamically adjusts search and reading strategies through continuous reflection to ensure comprehensive, authoritative information coverage for open-ended questions. It prevents omissions and logical errors during information gathering.

Best way to compile market research findings into a publication-quality HTML report?

The best way to compile market research into a publication-quality HTML report is using automated workflows that produce responsive layouts with unified typography and interactive Chart.js elements, eliminating manual formatting and ensuring professional output.

Can I generate interactive charts for extracted statistical data during web research?

Yes, you can generate interactive charts for extracted statistical data during web research by using tools that automatically create Chart.js visualizations. This makes research findings more intuitive within the final HTML report.

Does this systematic information gathering approach work for academic research scenarios?

Yes, this systematic information gathering approach works for academic research scenarios. It performs deep reading of authoritative sources and standardized compilation to deliver high-quality, comprehensive information coverage for academic inquiries.

What are the limitations of automating open-ended research question analysis?

Limitations of automating open-ended research question analysis include potential constraints in dynamically adjusting search strategies for highly niche topics. The automated critical analysis relies on accessible web sources, which may affect comprehensive information coverage for obscure inquiries.