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Research-Driven Design

Guide structured research, documentation, and design for technology adoption.

1|Updated Feb 22, 2026
Search Tags:#workflow#design#architecture#documentation#research#implementation#ai-assisted
One-click install
npx skills add https://github.com/arugo11/sit-copilot --skill research-driven-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Research-Driven Design
Source: https://github.com/arugo11/sit-copilot/tree/main/.claude/skills/research-driven-design
Command: npx skills add https://github.com/arugo11/sit-copilot --skill research-driven-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of adopting new technologies and making architectural decisions by integrating research, documentation, and implementation into a cohesive workflow.

Core Features & Use Cases

  • Research & Discovery: Leverages AI tools like Gemini to gather information on libraries, APIs, and technologies.
  • Constraint Documentation: Captures library-specific limitations and best practices.
  • Architecture Design: Utilizes AI tools like Codex for designing system architectures and planning implementation.
  • Structured Implementation: Guides the implementation process based on documented designs and research.
  • Use Case: When introducing a new external API into your project, this Skill helps you research its capabilities, document its constraints, design the integration architecture, and then implement it systematically.

Quick Start

Use the Research-Driven Design skill to research Azure OpenAI API integration with Python.

Frequently Asked Questions about Research-Driven Design

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

FAQPage Schema
How do I structure architecture decisions when adopting a new technology?▼

Adopting new technologies requires a structured workflow that integrates AI-assisted research, constraint documentation, and architecture design to ensure systematic decision-making before implementation planning begins.

What is the best way to document library constraints and API limitations?▼

Capture library-specific limitations and best practices during the external research phase to document constraints, ensuring your architecture design and implementation planning account for these documented technical boundaries.

Can I use AI-assisted research to plan an external API integration?▼

Yes, you can leverage AI tools to gather information on APIs and technologies, document their constraints, design the integration architecture, and then implement the external API systematically using the documented research.

How does AI-assisted architectural design work for system implementation?▼

AI-assisted architectural design utilizes tools to design system architectures and plan implementation, guiding the structured implementation process based on previously documented designs and external research.

Do I need prior documentation before designing system architecture?▼

Prior documentation of external research and library constraints is needed before designing system architecture, as the structured implementation process is directly guided by these documented designs and research findings.

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