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Mysense775
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Research Assistant

Research user-specified topics by gathering and synthesizing multi-source information.

Updated Feb 27, 2026
Search Tags:#summarization#research#information gathering#data synthesis#topic analysis#fact checking
One-click install
npx skills add https://github.com/Mysense775/deya-openclaw --skill research-assistant-mysense775
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Research Assistant
Source: https://github.com/Mysense775/deya-openclaw/tree/main/research-assistant
Command: npx skills add https://github.com/Mysense775/deya-openclaw --skill research-assistant-mysense775

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, newspaper3k, scholarly, arxiv, praw, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill tackles the challenge of information overload by providing a structured and comprehensive approach to researching any topic, saving users significant time and effort in gathering, analyzing, and synthesizing information.

Core Features & Use Cases

  • Multi-source Research: Gathers information from a wide array of sources including web, news, academic papers, tech forums, and social media.
  • Topic Analysis & Summarization: Analyzes topics in depth, identifies trends, and generates concise summaries or detailed reports.
  • Fact Checking: Cross-references information to verify claims and ensure accuracy.
  • Use Case: A product manager needs to understand the competitive landscape for a new AI feature. They can use this Skill to research market trends, identify key competitors, analyze their offerings, and get a summarized report with verified facts.

Quick Start

Use the research assistant skill to research the topic "AI agents 2026" with deep analysis and all available sources.

Frequently Asked Questions about Research Assistant

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

FAQPage Schema
How do I synthesize information from multiple sources for topic analysis?▼

To synthesize information for topic analysis, gather data from diverse sources like academic papers and web pages, then use natural language processing to identify trends and generate structured research reports. This approach reduces information overload and ensures comprehensive coverage.

What's the best way to automate fact checking and data synthesis for a research report?▼

Automate fact checking and data synthesis by cross-referencing claims across multiple gathered sources to verify accuracy. This process identifies trends and generates concise summaries or detailed reports for educational and professional research use cases.

Can I use arxiv and scholarly libraries to gather academic papers for competitive landscape research?▼

Yes, you can use arxiv and scholarly libraries to gather academic papers for competitive landscape research. These dependencies support multi-source data collection, allowing you to analyze market trends, identify competitors, and get summarized reports with verified facts.

Does multi-source research with newspaper3k and praw work for analyzing social media trends?▼

Multi-source research with newspaper3k and praw works for analyzing social media trends by gathering information from web pages, news articles, and tech forums. It applies natural language processing to analyze themes and generate structured summaries of the collected data.

What are the limitations of using web scraping with beautifulsoup4 for deep dive topic analysis?▼

Limitations of using web scraping with beautifulsoup4 for deep dive topic analysis include potential difficulties with dynamic content rendering and source access restrictions, requiring cross-referencing and fact checking to ensure the accuracy of synthesized data.

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