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omega-research

Integrate Grok-4, Exa, Tavily, Brave, NewsAPI, and Perplexity for multi-source research.

Updated Aug 27, 2026
Search Tags:#research#market analysis#grok#data synthesis#intelligence gathering#api search
One-click install
npx skills add https://github.com/taiyousan15/taisun_agent --skill omega-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: omega-research
Source: https://github.com/taiyousan15/taisun_agent/tree/main/.claude/skills/omega-research
Command: npx skills add https://github.com/taiyousan15/taisun_agent --skill omega-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides the highest accuracy integrated research by combining multiple advanced search engines and data sources to deliver comprehensive insights on any topic.

Core Features & Use Cases

  • Multi-Source Integration: Leverages Grok-4, Exa, Tavily, Brave, NewsAPI, and Perplexity for broad and deep information gathering.
  • Mode-Based Research: Offers various modes (deep, grok, api, intel, academic, quick) to tailor research depth and speed.
  • Use Case: A product manager needs to understand the competitive landscape for a new AI feature. They can use omega-research with the deep mode to get a comprehensive report covering market trends, competitor strategies, and user sentiment.

Quick Start

Use the omega-research skill to find the latest trends in the AI agent market.

Frequently Asked Questions about omega-research

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

FAQPage Schema
How do I conduct multi-source market analysis using Grok and Exa?▼

Multi-source market analysis integrates Grok-4 Agent Tools, Exa semantic search, Tavily, Brave, NewsAPI, and Perplexity to gather broad and deep data. It delivers comprehensive insights covering market trends, competitor strategies, and user sentiment.

What is the best way to gather competitive intelligence for a new product feature?▼

Competitive intelligence gathering uses configurable deep mode research to aggregate data across multiple search engines. This generates a comprehensive report covering competitor strategies, market trends, and user sentiment for product planning.

Does this research approach require specific API keys and a Python environment?▼

Yes, this research approach requires API keys for integrated services like Exa, Tavily, Brave, NewsAPI, and Perplexity. It also requires a Python environment for execution to synthesize data accurately.

How do I choose between deep, quick, and academic modes for data synthesis?▼

You choose between deep, quick, grok, api, intel, and academic modes to tailor research depth and speed. Deep mode provides comprehensive reports, quick mode prioritizes speed, and academic mode focuses on scholarly studies.

What limitations should I expect when integrating multiple search engines for research?▼

Limitations of multi-source research include dependency on external API keys for integrated services and the necessity of a Python environment. Research accuracy relies on the availability and response limits of Grok-4, Exa, Tavily, Brave, NewsAPI, and Perplexity.

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