ck:research

Research technical topics and evaluate solutions using AI models and web searches.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/weihung0831/claudekit --skill ck-research-weihung0831
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:research
Source: https://github.com/weihung0831/claudekit/tree/main/.opencode/skills/research
Command: npx skills add https://github.com/weihung0831/claudekit --skill ck-research-weihung0831

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of researching technical topics, evaluating solutions, and gathering comprehensive information to inform decision-making.

Core Features & Use Cases

  • Systematic Information Gathering: Employs multi-source research strategies including AI models and web searches.
  • In-depth Analysis: Evaluates technologies for best practices, security, performance, and compatibility.
  • Use Case: Research the latest advancements in serverless computing for a new microservice architecture, including best practices, security considerations, and potential pitfalls.

Quick Start

Research the latest advancements in serverless computing for a new microservice architecture.

Frequently Asked Questions about ck:research

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

FAQPage Schema
How do I conduct technical research for evaluating new software architectures?

To conduct technical research for evaluating software architectures, you need a systematic process that analyzes system requirements, assesses scalability and security, and gathers best practices from multiple sources to inform solution design.

What is the best way to research best practices and security considerations for a microservice architecture?

The best way to research best practices and security for a microservice architecture is to perform in-depth technical analysis using multi-source information gathering. This evaluates technology compatibility, performance metrics, and potential pitfalls to guide your solution design.

How does systematic technology evaluation work for assessing solution scalability and maintainability?

Systematic technology evaluation works by leveraging AI models and web searches to analyze architectures against strict research methodologies. It assesses solution scalability, security, and maintainability to deliver a comprehensive technical analysis for decision-making.

Can I use automated research to gather requirements and analyze compatibility for serverless computing?

Yes, you can use automated research to gather requirements and analyze compatibility for serverless computing. It systematically collects information on architectures and evaluates best practices, security, and performance to support your technology evaluation.

What are the limitations of relying on AI models and web searches for technical analysis?

Limitations of using AI models and web searches for technical analysis include potential gaps in highly specialized or proprietary system contexts. Strict adherence to established research methodologies and quality standards is required to mitigate inaccuracies during solution design and technology evaluation.