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deep-research

Aggregate and synthesize research from Wikipedia, arXiv, news, and forums.

Updated Aug 23, 2026
Search Tags:#deep dive#information synthesis#multi-source research#evidence-based research#Bhairava Temple
One-click install
npx skills add https://github.com/valentinuuiuiu/vikarma --skill deep-research-valentinuuiuiu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/valentinuuiuiu/vikarma/tree/main/skills/deep-research
Command: npx skills add https://github.com/valentinuuiuiu/vikarma --skill deep-research-valentinuuiuiu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, wikipedia, arxiv, duckduckgo, news_api, reddit, stackoverflow, coingecko, anthropic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for in-depth, evidence-based research by leveraging multiple Bhairava Temple tools to gather and synthesize information from various sources.

Core Features & Use Cases

  • Multi-Source Research: Accesses information from Wikipedia, arXiv, web search, news, community forums, and technical Q&A platforms.
  • Synthesis and Reporting: Synthesizes findings into a structured report with citations and analysis.
  • Use Case: When a user needs to research a complex topic like the impact of AI on a specific industry, this Skill can gather information from academic papers, news articles, and community discussions to provide a comprehensive overview.

Quick Start

To research the impact of AI on financial trading, use the deep-research skill with the command: "research AI impact on financial trading".

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct multi-source research combining academic papers and news articles?▼

Multi-source research aggregates and synthesizes information from Wikipedia, arXiv, news APIs, and forums. This Skill queries these platforms simultaneously, combining academic papers and news articles into a structured report with citations and analysis.

What is the best way to synthesize information from multiple knowledge sources into a single report?▼

Synthesizing information from multiple knowledge sources requires aggregating data from Wikipedia, web search, and community platforms. This Skill uses Anthropic to process retrieved data, generating a comprehensive overview that combines findings into a structured report with citations.

Can I gather evidence-based research data from Reddit and StackOverflow for topic analysis?▼

Yes, evidence-based research data can be gathered from Reddit and StackOverflow. This Skill accesses community forums and technical Q&A platforms alongside DuckDuckGo and arXiv, aggregating diverse perspectives to provide an in-depth analysis on any topic.

Does this multi-source research tool require Anthropic to synthesize findings from arXiv and Wikipedia?▼

Yes, this multi-source research tool requires Anthropic to synthesize findings. It depends on Anthropic for processing and combining aggregated information retrieved from sources like arXiv, Wikipedia, news APIs, and DuckDuckGo into a structured report.

How to research the impact of AI on a specific industry using web search and academic papers?▼

To research the impact of AI on a specific industry, instruct the Skill to research your chosen topic. It gathers information from academic papers, news articles, and community discussions, synthesizing the data to provide a comprehensive overview with citations.

Are there limitations when using DuckDuckGo and CoinGecko for deep dive information synthesis?▼

Limitations depend on the API coverage of DuckDuckGo and CoinGecko. This Skill relies on these external APIs for data retrieval; if a specific platform lacks coverage for your deep dive topic, the synthesized information may be incomplete or lack specialized data.

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