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ultra-research

Orchestrate parallel AI research across Gemini, ChatGPT, Claude, and Grok to produce cited synthesis reports.

Updated Mar 4, 2026
Search Tags:#automation#multi-source#synthesis#report#cross-validation#deep-research#multi-ai
One-click install
npx skills add https://github.com/UselessXu/mino --skill ultra-research-uselessxu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ultra-research
Source: https://github.com/UselessXu/mino/tree/main/.claude/skills/ultra-research
Command: npx skills add https://github.com/UselessXu/mino --skill ultra-research-uselessxu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Ultra-research orchestrates parallel AI services to deliver comprehensive, cross-validated analyses on complex topics, reducing time-to-insight and boosting confidence in conclusions.

Core Features & Use Cases

  • Parallel AI research across multiple services (Gemini, ChatGPT, Claude, Grok) to surface diverse perspectives.
  • Cross-source synthesis with cited outputs, structured reports, and actionable recommendations.
  • Use Case: Ideal for technology selection, competitive analysis, industry trends, and controversial topics requiring multi-dimensional evaluation.

Quick Start

Trigger ultra-research by specifying a topic and preferred dimensions, and the agent will orchestrate parallel AI services to produce a consolidated, cited report.

Frequently Asked Questions about ultra-research

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

FAQPage Schema
How does parallel AI research improve cross-validation for complex topics?▼

Cross-source synthesis is ideal for technology selection, competitive analysis, industry trends, and controversial subjects. It evaluates multi-faceted topics by orchestrating parallel AI services to surface diverse perspectives and cross-check insights before producing structured reports.

How do I generate a cited synthesis report using multiple AI services?▼

Yes, ultra-research requires Playwright MCP-enabled agents alongside access to Gemini, ChatGPT, Claude, and Grok to function. These dependencies are necessary to orchestrate the parallel AI research and cross-source synthesis required for comprehensive topic analysis.

What is the best way to research controversial subjects requiring multi-dimensional evaluation?▼

The best way to research controversial subjects is orchestrating parallel AI services to cross-check diverse perspectives and reference materials. This multi-source synthesis approach produces a structured, cited report that evaluates complex, multi-faceted topics with cross-validated insights.

Does cross-source synthesis work without access to multiple AI services like Claude and Grok?▼

No, cross-source synthesis requires access to multiple AI services including Gemini, ChatGPT, Claude, and Grok, along with Playwright MCP-enabled agents. These are necessary dependencies to execute parallel research and generate cross-validated insights on complex topics.

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