ultimate-research

Name: ultimate-research
Availability: InStock
Author: robin

Orchestrate parallel research agents across MCP tools and generate cited reports.

Updated Aug 23, 2026

Ready to run

npx skills add https://github.com/robinade/persona-theater --skill ultimate-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ultimate-research
Source: https://github.com/robinade/persona-theater/tree/main/.claude/skills/ultimate-research
Command: npx skills add https://github.com/robinade/persona-theater --skill ultimate-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates comprehensive, AI-driven multi-agent research orchestration using MCP ecosystems to deliver deep, cross-domain insights at scale.

Core Features & Use Cases

Parallel agent orchestration: Launches deep-research-agent, search-specialist, trend-researcher, and ux-researcher in parallel to maximize throughput.
Multi-MCP tooling: Orchestrates ref MCP, exa MCP, brave-search MCP, and context7 MCP for comprehensive data gathering and verification.
Structured synthesis & reporting: Produces a formal research report with evidence chains, citations, and confidence scoring for decision support.
Use Case: When a complex research question requires multi-perspective evaluation (documentation, code examples, market trends, and user insights).

Quick Start

Provide a topic string to initiate a four-agent research run, then retrieve the synthesized report with citations.

Frequently Asked Questions about ultimate-research

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

FAQPage Schema

How do I automate multi-agent research across multiple MCP tools?▼

Automate multi-agent research by launching parallel agents that orchestrate MCP tools like ref, exa, brave-search, and context7 to gather data, synthesize findings, and generate citations-enabled reports.

What is parallel agent orchestration for complex research tasks?▼

Parallel agent orchestration executes deep-research-agent, search-specialist, trend-researcher, and ux-researcher simultaneously to maximize throughput and evaluate complex inquiries from multiple perspectives.

Can I use brave-search and exa MCP together for cross-domain synthesis?▼

Yes, you can use brave-search and exa MCP together. The orchestration coordinates these tools alongside ref and context7 MCPs to gather comprehensive data and perform cross-domain synthesis for research reports.

How to generate a structured research report with evidence chains and confidence scoring?▼

Generate a structured research report by running parallel agents across MCP ecosystems, which automatically synthesizes gathered data into formal documentation featuring evidence chains, citations, and confidence scoring.

Does multi-agent research orchestration require sequential thinking for complex inquiries?▼

Multi-agent research orchestration applies sequential thinking when needed for complex inquiries, ensuring thorough cross-domain synthesis before producing the final structured research report with citations.

What is the best way to run deep research across documentation, code examples, and market trends?▼

The best way to run deep research across these domains is initiating a four-agent parallel run that leverages multi-MCP tooling to evaluate documentation, code examples, market trends, and user insights simultaneously.