diagnose-research-agent

mathias-nielsen's avatarfrom mathias-nielsen

A comprehensive skill designed for researching on complex diagnosis problems.

⭐0stars🔀0forks📁View on GitHub🕐Updated Dec 6, 2025⬇️1downloads

When & Why to Use This Skill

The Diagnose Research Agent is a high-performance Claude skill designed to tackle complex diagnostic challenges through automated, deep-dive investigations. By leveraging specialized sub-agents, it systematically explores intricate problem spaces, synthesizes vast amounts of information, and provides evidence-based insights to accelerate root cause analysis and decision-making.

Use Cases

  • Technical Troubleshooting: Investigating the root causes of intermittent software bugs or complex system failures by crawling technical documentation and developer forums.
  • Medical & Scientific Research: Assisting professionals in researching rare clinical symptoms, diagnostic patterns, or latest medical literature to support complex case evaluations.
  • Industrial Root Cause Analysis: Analyzing equipment failure modes and maintenance logs to identify underlying issues in manufacturing or engineering environments.
  • Complex Problem Solving: Providing a structured research framework for any domain-specific 'diagnosis' where multiple variables and high-density information are involved.
nameDiagnose Research Agent
descriptionA comprehensive skill designed for researching on complex diagnosis problems.

Deep Research Diagnose

Initiate research agent

This action will initiate a deep-research sub-agent, to research more complex diagnosis situations.

def initiate_research_agent(year, week):
  # Mock Code
  # ...