deep-reasoning

Guide structured multi-step problem solving with branching and evidence tracking.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/AP3X-Dev/AGENT --skill deep-reasoning-ap3x-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-reasoning
Source: https://github.com/AP3X-Dev/AGENT/tree/main/skills/deep-reasoning
Command: npx skills add https://github.com/AP3X-Dev/AGENT --skill deep-reasoning-ap3x-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured, traceable approach to solving complex problems by guiding multi-step reasoning with branching paths, explicit hypotheses, and evidence tracking.

Core Features & Use Cases

  • Breaks problems into manageable steps and allows branching to explore alternative solutions.
  • Enables hypothesis generation and testing with verifiable evidence tracking.
  • Maintains reasoning context across long analyses for reproducibility.
  • Use case: debugging a difficult algorithmic issue or planning a multi-phase project with clear reasoning trace.

Quick Start

Start a deep reasoning session by describing the problem and specifying total_thoughts. Then provide the first thought and continue with branches as needed.

Frequently Asked Questions about deep-reasoning

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

FAQPage Schema
How do I structure multi-step problem solving with branching and evidence tracking?

You can structure multi-step problem solving by specifying a total number of thoughts, providing sequential thoughts, and creating branches to explore alternative solutions while maintaining reasoning context throughout the analysis.

What is the best way to debug complex issues using structured reasoning and hypotheses?

Debugging complex issues with structured reasoning involves generating explicit hypotheses, tracking verifiable evidence for each step, and branching reasoning paths to systematically isolate the root cause.

Can I maintain reasoning context across long strategic planning analyses?

Yes, you can maintain reasoning context across long strategic planning analyses by using thought parameters like thought_number and next_thought_needed to ensure traceability and reproducibility throughout the entire process.

Does structured thinking support branching to explore alternative solutions during analysis?

Yes, structured thinking supports branching to explore alternative solutions during analysis, allowing you to generate and test multiple hypotheses with verifiable evidence tracking across different reasoning paths simultaneously.

When do I need to use structured reasoning for project planning and debugging?

You need structured reasoning for project planning and debugging when facing complex problems that require breaking down into manageable steps, exploring alternative solutions via branching, and verifying hypotheses with traceable evidence throughout the workflow.

What are the limitations of using basic structured thinking for complex domain analysis?

The limitation of using basic structured thinking for complex domain analysis is its fundamental implementation depth, which provides essential branching and evidence tracking without advanced domain-specific integrations or specialized analytical automations.