reason

Automate iterative PLAN, IMPLEMENT, VERIFY, REFLECT, and REPEAT reasoning loops.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ludoplex/openclaw-deploy-template --skill reason
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reason
Source: https://github.com/ludoplex/openclaw-deploy-template/tree/main/openclaw-deploy-template/agents/asm/skills/reason
Command: npx skills add https://github.com/ludoplex/openclaw-deploy-template --skill reason

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Recursive reasoning to solve complex problems by planning steps, executing, validating, reflecting, and iterating.

Core Features & Use Cases

  • Iterative problem-solving loop: PLAN → IMPLEMENT → VERIFY → REFLECT → REPEAT to converge on a solution.
  • Structured decision making: keeps track of iterations and adjusts strategy based on feedback.
  • Use case: apply to multi-step puzzles, strategic planning tasks, or debugging workflows where iterative refinement is required.

Quick Start

Initiate an iterative cycle to PLAN, IMPLEMENT, VERIFY, REFLECT, and REPEAT until the goal is achieved.

Frequently Asked Questions about reason

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

FAQPage Schema
How do I use iterative reasoning for complex problem-solving?

Iterative reasoning breaks complex problems into actionable steps by cycling through PLAN, IMPLEMENT, VERIFY, REFLECT, and REPEAT phases to converge on a solution through structured refinement.

What is the best way to structure multi-step planning and debugging workflows?

Multi-step planning and debugging workflows benefit from an enforced loop that plans steps, executes them, validates results, reflects on feedback, and repeats while tracking iteration counts to adjust strategy dynamically.

Can I use structured reasoning for strategic planning tasks across different domains?

Yes, structured reasoning applies to strategic planning, analytical problem-solving, and debugging workflows across domains, automating the breakdown of complex tasks into validated, iterative steps.

How does the plan implement verify reflect loop work for problem-solving?

The loop automates structured problem-solving by planning actionable steps, implementing them, verifying outcomes, reflecting on feedback to adjust strategy, and repeating until the goal is achieved.

When do I need iterative refinement for multi-step puzzles and analytical tasks?

Iterative refinement is needed when multi-step puzzles, strategic planning, or debugging workflows require structured decision making that adjusts strategy based on validation feedback across multiple iterations.

What are the limitations of using an iterative reasoning loop for complex problems?

The iterative reasoning loop requires clearly defined goals for the VERIFY and REFLECT phases to function effectively, meaning unstructured or ambiguous problems may lack the feedback needed to converge on a solution.