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qingyan_research_report

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

1|Updated May 1, 2026
Search Tags:#data visualization#information gathering#web research#critical thinking#chart.js#html report#research report
One-click install
npx skills add https://github.com/e2662020/QuickMovie --skill qingyan-research-report-e2662020
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qingyan_research_report
Source: https://github.com/e2662020/QuickMovie/tree/main/skills/qingyan-research
Command: npx skills add https://github.com/e2662020/QuickMovie --skill qingyan-research-report-e2662020

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the inefficiency of manually gathering scattered web information, conducting critical analysis, and formatting professional research reports, which is time-consuming and often results in inconsistent output quality.

Core Features & Use Cases

  • Systematic Multi-Step Research: Uses critical thinking to optimize search strategies, conducts deep reading of authoritative sources, and ensures comprehensive coverage of open-ended research topics through dynamic reflection.
  • Publication-Quality HTML Reports: Generates structured, visually polished HTML research reports with standardized typography, responsive layout, and automatic table of contents.
  • Interactive Data Visualization: Creates Chart.js-based interactive charts from extracted statistical data to present trends, comparisons, and distributions clearly.
  • Use Case: For example, when you need to research the development status of the global artificial intelligence industry over the past three years, this skill can automatically collect the latest authoritative data, analyze development trends, and generate a structured HTML report with interactive charts and a clear directory.

Quick Start

Use the qingyan_research_report skill to conduct systematic research on the application of large language models in education and generate a publication-quality HTML report with interactive data visualizations.

Frequently Asked Questions about qingyan_research_report

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

FAQPage Schema
How do I generate an HTML research report with interactive charts from web data?▼

To generate an HTML research report with interactive charts from web data, use a tool that conducts multi-source information gathering and integrates Chart.js for data visualization. It automatically structures your findings into a publication-quality, responsive HTML document with a table of contents.

What is the best way to conduct systematic web research for industry analysis?▼

The best way to conduct systematic web research for industry analysis is using a multi-step approach with critical thinking. This optimizes search strategies, performs deep reading of authoritative sources, and ensures comprehensive coverage through dynamic reflection on open-ended topics.

Can I create publication-quality HTML reports with automated table of contents generation?▼

Yes, you can create publication-quality HTML reports with automated table of contents generation. This process standardizes typography and responsive layout rules, transforming raw information gathering into structured, visually polished HTML documents suitable for professional presentation.

Does this automated research approach work for open-ended academic topic investigation?▼

Yes, this automated research approach works for open-ended academic topic investigation. It applies critical analysis to systematically collected authoritative information, making it suitable for academic research, market analysis, and industry investigation scenarios requiring comprehensive data visualization.

How do I extract statistical data from multiple web sources and visualize it as interactive charts?▼

To extract statistical data from multiple web sources and visualize it as interactive charts, use an automated research tool that pairs information gathering with Chart.js integration. It extracts statistical data during deep reading and presents trends, comparisons, and distributions clearly.

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