deep-think

Plan, execute, and reflect through iterative deep-dive analysis.

8|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/wangyendt/wayne-skills --skill deep-think-wangyendt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-think
Source: https://github.com/wangyendt/wayne-skills/tree/main/deep-think
Command: npx skills add https://github.com/wangyendt/wayne-skills --skill deep-think-wangyendt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps users perform deep analysis, thorough breakdowns, and structured planning to improve the quality and reliability of responses.

Core Features & Use Cases

  • Explicit Planning: creates a structured plan before action.
  • Dynamic Re-planning and Reflection: updates the plan as new insights emerge.
  • Use Case: When a user asks for detailed reasoning or multi-step problem solving, this skill guides the agent through planning, iterative deep dives, and synthesis.

Quick Start

Provide a thorough, structured analysis of the user's problem, generate an initial plan, perform iterative deep dives, and deliver a final synthesis with explicit planning and reflection.

Frequently Asked Questions about deep-think

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

FAQPage Schema
How do I perform structured analysis and stepwise reasoning on complex problems?

Structured analysis is performed by generating an initial plan, executing iterative deep dives, and delivering a final synthesis. This multi-pass reasoning approach uses explicit planning, dynamic re-planning, prediction, and reflection to improve response quality.

What is multi-pass reasoning with planning and reflection?

Multi-pass reasoning with planning and reflection is a technique that creates a structured plan before action, updates the plan dynamically as new insights emerge, and synthesizes results after iterative deep dives. It ensures thorough breakdowns and reliable outcomes for complex problems.

When do I need dynamic re-planning for AI-assisted problem solving?

Dynamic re-planning for AI-assisted problem solving is needed when tackling complex problems that require stepwise reasoning and iterative deep dives. It allows the agent to update the structured plan as new insights emerge during the analysis process.

Can I use deep thinking techniques for detailed breakdowns and stepwise reasoning?

Yes, deep thinking techniques can be used for detailed breakdowns and stepwise reasoning. The skill guides the agent through explicit planning, iterative deep dives, and final synthesis to handle multi-step problem solving and thorough analysis.

What's the best way to improve response quality for multi-step problem solving?

The best way to improve response quality for multi-step problem solving is applying explicit planning, dynamic re-planning, prediction, and reflection. This structured analysis approach delivers a final synthesis after iterative deep dives to ensure thorough and reliable results.

Why does structured analysis require explicit planning and reflection steps?

Structured analysis requires explicit planning and reflection steps to guide the agent through iterative deep dives and synthesis. These steps ensure the response quality is improved by dynamically updating the plan as new insights emerge during the reasoning process.