deepThink

Diagnose complex problems in code, systems, and business processes.

45|12|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/LdotJdot/OpenLum --skill deepthink-ldotjdot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepThink
Source: https://github.com/LdotJdot/OpenLum/tree/main/OpenLum.Console/Skills/deepThink
Command: npx skills add https://github.com/LdotJdot/OpenLum --skill deepthink-ldotjdot

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It provides a disciplined framework for deep diagnostic reasoning to transform vague inquiries into actionable plans.

Core Features & Use Cases

  • Explicit problem-type identification to quickly categorize tasks.
  • Evidence-first analysis that prioritizes 2–3 plausible hypotheses and validates them with real data.
  • Structured, actionable conclusions with safeguards to avoid overfitting or mistaken inferences.

Quick Start

Provide a concise user prompt describing the problem; deepThink will apply its workflow to diagnose and deliver an actionable plan.

Frequently Asked Questions about deepThink

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

FAQPage Schema
How do I diagnose complex code problems when I only have vague symptoms?

To diagnose complex code problems from vague symptoms, apply a structured reasoning framework that identifies the issue type, prioritizes hypotheses, and validates them with real evidence to converge into an actionable conclusion.

What is the best way to analyze system logs for diagnosing configuration problems?

The best way to analyze system logs for configuration problems is to gather first-hand evidence to validate prioritized hypotheses, avoiding mistaken inferences and ensuring a structured, actionable conclusion.

How do I structure a debugging workflow to avoid mistaken inferences?

Structure your debugging workflow by explicitly identifying the problem type, prioritizing two to three plausible hypotheses, and validating them with first-hand evidence to avoid overfitting and mistaken inferences.

Can I use structured diagnostic reasoning for architecture review and data analysis?

Yes, structured diagnostic reasoning supports architecture review, data analysis, and business process diagnosis by enforcing an evidence-gathering workflow that validates hypotheses to deliver actionable conclusions.

When should I not use a hypothesis-driven approach for code analysis?

Avoid using a hypothesis-driven approach for code analysis when you cannot gather first-hand evidence to validate assumptions, as the framework explicitly safeguards against overfitting and mistaken inferences.