research

Conduct systematic technical research and analysis using Gemini and WebSearch.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/IoT-VN/tuya-energy-dashboard --skill research-iot-vn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/IoT-VN/tuya-energy-dashboard/tree/main/.opencode/skills/research
Command: npx skills add https://github.com/IoT-VN/tuya-energy-dashboard --skill research-iot-vn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides in-depth technical intelligence by systematically researching, analyzing, and synthesizing information on complex topics, enabling informed decision-making.

Core Features & Use Cases

  • Systematic Information Gathering: Leverages Gemini and WebSearch for comprehensive data collection.
  • Deep Content Analysis: Analyzes official documentation, GitHub repos, and technical specifications.
  • Cross-Reference Validation: Ensures accuracy and currency by verifying information across multiple sources.
  • Use Case: Evaluate the best practices for implementing a microservices architecture in a high-traffic e-commerce platform, considering scalability, security, and maintainability.

Quick Start

Research the latest advancements in quantum computing for data encryption.

Frequently Asked Questions about research

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

FAQPage Schema
What is technical analysis for evaluating software solution design best practices?

Technical analysis for software solution design involves systematically researching and synthesizing data from web sources and official documentation to evaluate scalability, security, and maintainability best practices for informed architecture decisions.

How do I research best practices for implementing a scalable microservices architecture?

To research scalable microservices best practices, specify the topic to gather comprehensive data from Gemini and WebSearch, analyze official technical specifications, and cross-reference multiple sources to validate architectural scalability and security.

Does this technical research approach work for analyzing security and maintainability in high-traffic platforms?

Yes, this technical research approach supports evaluating security and maintainability in high-traffic platforms by conducting systematic information gathering and cross-reference validation across multiple sources to ensure accuracy for complex use cases.

What's the best way to gather technical intelligence on complex topics like quantum computing encryption?

The best way to gather technical intelligence on quantum computing encryption is to use systematic research that synthesizes information from Gemini, WebSearch, and official documentation, ensuring cross-reference validation for current and accurate analysis.

Can I use this for deep analysis of official documentation and GitHub repositories?

Yes, you can use this for deep content analysis of official documentation, GitHub repositories, and technical specifications, synthesizing the gathered information to support technology evaluation and complex solution design decisions.

When should I use cross-reference validation for technical research?

You should use cross-reference validation for technical research when evaluating complex technologies or best practices, ensuring the accuracy and currency of synthesized information by verifying data points across multiple independent sources.