research

Coordinate parallel research agents across web, codebase, and documentation sources.

3|1|Updated Apr 18, 2021
One-click install
npx skills add https://github.com/nashgao/mqtt-client --skill research-nashgao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/nashgao/mqtt-client/tree/main/.claude/skills/research
Command: npx skills add https://github.com/nashgao/mqtt-client --skill research-nashgao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill tackles complex research questions by performing deep, multi-source investigations, synthesizing findings, and validating information to provide actionable insights with confidence levels.

Core Features & Use Cases

  • Comprehensive Investigation: Explores web, codebase, and documentation sources.
  • Multi-Agent Orchestration: Deploys specialized agents for parallel research streams.
  • Synthesis & Validation: Cross-references information and assesses credibility.
  • Actionable Output: Delivers structured reports with confidence scores and recommendations.
  • Use Case: Researching the latest advancements in quantum computing, including theoretical papers, practical implementations, and industry adoption trends.

Quick Start

Initiate a comprehensive research investigation on the topic of sustainable energy solutions.

Frequently Asked Questions about research

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

FAQPage Schema
How does multi-source investigation and synthesis work for complex research questions?

Multi-source investigation works by deploying specialized agents for parallel data gathering across web, codebase, and documentation. It synthesizes findings, cross-references information for validation, and structures insights into actionable reports with confidence scoring.

What is the best way to validate research findings from multiple sources?

The best way to validate research findings is through cross-referencing information gathered from parallel research streams. This approach assesses information credibility and synthesizes findings into structured reports with confidence scores and actionable recommendations.

Can I use agent orchestration to research information across web and codebase sources?

Yes, you can use agent orchestration to research across web and codebase sources. It deploys specialized agents for parallel data gathering, comprehensively exploring web, codebase, and documentation to synthesize findings into actionable reports.

How do I start a comprehensive investigation on a complex topic?

To start a comprehensive investigation, initiate a research query on your topic. The system deploys specialized agents for parallel data gathering, cross-references the findings, and delivers structured insights with confidence scores and recommendations.

When should I use multi-agent orchestration for deep analytical research?

Use multi-agent orchestration for deep analytical research when tasks require deep dives and rigorous validation. It is designed for complex analytical tasks, deploying specialized agents to synthesize findings and structure insights into actionable reports.