深度研究

Name: 深度研究
Availability: InStock
Author: AIDC-AI

Automate multi-stage web research and generate cited structured reports.

16|7|Updated Feb 6, 2026

Search Tags:#research #report generation #information gathering #web scraping #data synthesis #topic analysis

Ready to run

npx skills add https://github.com/AIDC-AI/Pixelle-Studio --skill -aidc-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: 深度研究
Source: https://github.com/AIDC-AI/Pixelle-Studio/tree/main/backend/skills/default/deep-research
Command: npx skills add https://github.com/AIDC-AI/Pixelle-Studio --skill -aidc-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of conducting in-depth research on a given topic by intelligently combining search engine queries and web scraping to generate structured reports.

Core Features & Use Cases

Multi-stage Research: Performs initial broad searches, followed by targeted deep dives and supplementary searches.
Web Scraping: Extracts detailed content from important web pages.
Structured Reporting: Compiles all gathered information into a well-organized report with cited sources.
Use Case: A user needs a comprehensive report on the latest advancements in renewable energy. This Skill will search for relevant articles, scrape key details from promising sources, and synthesize the findings into a report, citing all URLs.

Quick Start

Conduct a deep research on the topic of 'quantum computing applications'.

Frequently Asked Questions about 深度研究

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

FAQPage Schema

How do I automate web scraping and information gathering for a structured research report?▼

Automated report generation uses multi-stage web searches and targeted web scraping to extract content, synthesizing the gathered information into a structured research report with cited URLs for academic or business analysis.

What is multi-stage topic analysis and how does it work for deep research?▼

Multi-stage topic analysis works by executing an initial broad search, followed by targeted deep dives and supplementary queries to ensure comprehensive information gathering and data synthesis for the final output.

Can I generate a cited academic or technical report without manually searching for sources?▼

Yes, you can generate a cited technical report without manual searching by inputting a topic, which triggers automated web scraping and data synthesis to compile findings and automatically cite all source URLs.

Does automated web scraping for report generation handle call frequency limits and errors?▼

Automated web scraping requires strict adherence to call frequency limits and error handling protocols to manage web search and fetching tools properly, ensuring stable information gathering without exceeding integration constraints.

What is the best way to synthesize data from multiple web pages into a single topic analysis?▼

The best way to synthesize data into a single topic analysis is using a multi-stage research approach that extracts detailed content from important web pages and compiles the gathered information into a structured report.