deep-research-grok

Generate multi-stage research reports using Grok-4 live web search.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/taiyousan15/taisun_agent --skill deep-research-grok
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research-grok
Source: https://github.com/taiyousan15/taisun_agent/tree/main/.claude/skills/deep-research-grok
Command: npx skills add https://github.com/taiyousan15/taisun_agent --skill deep-research-grok

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates in-depth web research on any given topic, generating comprehensive, structured reports by leveraging advanced AI models and real-time search capabilities. It saves users significant time and effort in gathering and synthesizing information for market analysis, competitive intelligence, and technical investigations.

Core Features & Use Cases

  • Grok-4 Live Search: Utilizes xAI's Grok-4 with live web search for up-to-the-minute information.
  • Multi-stage Research: Employs a structured approach including planning, section-specific investigation, and synthesis.
  • Automated Report Generation: Produces detailed Markdown reports with citations.
  • Use Case: A product manager needs to understand the current market landscape for AI-powered customer support tools. This Skill can be used to gather data on market size, key players, emerging trends, and technological advancements, compiling it into a concise report.

Quick Start

Use the deep-research-grok skill to research the current state and future of the AI agent market.

Frequently Asked Questions about deep-research-grok

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

FAQPage Schema
How do I automate market research report generation with live web search?

Automate market research report generation by using Grok-4's live web search to gather real-time data, plan multi-stage investigations, and synthesize findings into structured Markdown reports with citations.

What is multi-stage deep research and how does it synthesize competitive analysis?

Multi-stage deep research executes structured planning, section-specific investigation, and synthesis to transform real-time web search data into comprehensive competitive analysis reports.

Do I need an XAI_API_KEY to perform real-time web search research?

Yes, an XAI_API_KEY is required to access Grok-4 for live web search capabilities, and an optional EXA_API_KEY can be added to provide enhanced search context.

Can I use this approach for technical investigations and emerging technology trends?

Yes, this approach supports technical investigations by leveraging Grok-4 live web search to gather up-to-the-minute information on emerging technology trends and compile detailed reports.

How do I generate Markdown reports with citations from real-time web data?

Generate Markdown reports with citations by executing a multi-stage research process where Grok-4 gathers live web data, investigates specific sections, and synthesizes the information with automatic citation formatting.

What are the limitations of using Grok-4 for automated web research?

Limitations include dependency on external API keys for context enhancement and the inherent constraints of synthesizing complex technical investigations strictly through automated multi-stage web search without manual expert review.