research

Conduct technical research on topics, technologies, and architectures via web search.

1|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/locnbk2002/my-copilot --skill research-locnbk2002
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/locnbk2002/my-copilot/tree/main/my-copilot/skills/research
Command: npx skills add https://github.com/locnbk2002/my-copilot --skill research-locnbk2002

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of gathering, analyzing, and synthesizing technical information to support decision-making and problem-solving.

Core Features & Use Cases

  • Comprehensive Technical Research: Investigate specific topics, technologies, or architectures.
  • Best Practices & Security Analysis: Identify industry best practices, security implications, and performance considerations.
  • Solution Design & Evaluation: Assist in evaluating potential solutions and designing robust systems.
  • Use Case: Research the best practices for implementing a scalable microservices architecture in a cloud-native environment, including security and performance recommendations.

Quick Start

Research the latest advancements in quantum computing and their potential impact on cryptography.

Frequently Asked Questions about research

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

FAQPage Schema
How do I conduct technical research for evaluating software architecture best practices?

Technical research for software architecture evaluates technologies and analyzes best practices using web search and large context models. It synthesizes comprehensive information to support decision-making, covering scalability, security, and maintainability analysis for robust solution design.

What is the best way to analyze security implications and performance considerations for a new system?

Analyzing security implications and performance considerations involves identifying industry best practices through deep technical analysis. The process gathers requirements and evaluates potential solutions to ensure system scalability and maintainability, providing comprehensive recommendations for robust design.

Can I use this approach to research scalable microservices architecture in a cloud-native environment?

Yes, you can research scalable microservices architecture in a cloud-native environment. This approach investigates specific architectures and evaluates technologies, delivering security and performance recommendations tailored to your cloud-native solution design requirements.

How does large context model synthesis work for gathering technical requirements?

Large context model synthesis for gathering technical requirements works by fetching web content and processing extensive information. It automates the aggregation and analysis of technical data, evaluating technologies to support comprehensive problem-solving and system design.

What are the limitations of automating technology evaluation and solution design research?

Automating technology evaluation and solution design research relies on web search and content fetching, meaning its limitations are tied to source availability and context model capacity. It synthesizes existing information but cannot generate novel architectural paradigms or test empirical performance.