qingyan_research_report

Conduct multi-step web research and generate responsive HTML reports with Chart.js visualizations.

2|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/marktantongco/promptc-os --skill qingyan-research-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qingyan_research_report
Source: https://github.com/marktantongco/promptc-os/tree/main/skills/qingyan-research
Command: npx skills add https://github.com/marktantongco/promptc-os --skill qingyan-research-report

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured, traceable workflow for deep web research and professional HTML report creation, reducing the risk of incomplete coverage, shallow summaries, and inconsistent visual presentation when analyzing open-ended topics.

Core Features & Use Cases

  • Systematic Multi-step Search: Plan searches, prioritize sources, and iteratively refine queries with explicit reflection and coverage checks.
  • Critical Reflection & Strategy Adjustment: Perform question-coverage checks and content-depth evaluations to adapt exploration paths and ensure authoritative evidence.
  • Publication-grade HTML Output: Generate responsive, typographically precise HTML reports with automatic Table of Contents, theme colors, and layout rules.
  • Interactive Data Visualization: Extract numerical data and produce Chart.js visualizations (bar/line/combination) with accessibility and layout rules enforced.
  • Use Case: Produce a comprehensive research report on market trends, including sourced evidence, comparative tables, and interactive charts for stakeholder presentation.

Quick Start

Generate a publication-quality HTML research report on "Topic" by performing multi-step web research, extracting and analyzing evidence, and producing a responsive HTML file with a Table of Contents and Chart.js 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 research?

To generate an HTML research report, conduct multi-step web research, extract evidence, and produce a responsive HTML file with a Table of Contents and Chart.js visualizations. The workflow includes iterative search planning, critical reflection, and automatic layout generation.

What is the best way to structure deep web research for a publication-quality report?

The best way to structure deep web research is to plan searches, prioritize sources, and iteratively refine queries with explicit reflection. This ensures comprehensive coverage and authoritative evidence for a publication-quality report.

Can I use Chart.js for data visualization in an automatically generated research report?

Yes, you can use Chart.js for data visualization in an automatically generated research report. The process extracts numerical data and produces bar, line, or combination charts with enforced accessibility and layout rules.

Does deep web research require critical reflection and coverage checks before report generation?

Deep web research requires critical reflection and coverage checks before report generation to adapt exploration paths and ensure authoritative evidence. Question-coverage checks and content-depth evaluations prevent incomplete coverage and shallow summaries.

What are the limitations of automatic TOC generation and strict typography in HTML research reports?

Automatic TOC generation and strict typography in HTML research reports are limited to responsive layouts with predefined theme colors and layout rules. They enforce visual consistency but do not accommodate custom structural deviations outside the specified publication-grade format.