structured-step-by-step-reasoning

Reveal explicit step-by-step reasoning before conclusions for complex problems.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/edwifiguy/era-agents-ops --skill structured-step-by-step-reasoning
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: structured-step-by-step-reasoning
Source: https://github.com/edwifiguy/era-agents-ops/tree/main/skills/era-agents-op/metaclaw/memory_data/skills/structured-step-by-step-reasoning
Command: npx skills add https://github.com/edwifiguy/era-agents-ops --skill structured-step-by-step-reasoning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Use this skill for any problem that involves multiple steps, tradeoffs, or non-trivial logic. Think out loud before answering to improve accuracy and transparency. Apply whenever the answer is not immediately obvious.

Core Features & Use Cases

  • Restate the core question in your own words before diving into subproblems.
  • Break the task into key sub-problems and decision points.
  • Verify consistency across intermediate results and summarize the final answer.

Quick Start

Provide a step-by-step reasoning process before delivering the final answer for any multi-step task.

Frequently Asked Questions about structured-step-by-step-reasoning

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

FAQPage Schema
How do I show step-by-step reasoning for complex logic puzzles before giving the final answer?

To show step-by-step reasoning, you restate the question, break the task into sub-problems, and verify consistency across intermediate results. This transparent reasoning process improves traceability for logic puzzles before delivering conclusions.

What is the best way to trace multi-step debugging decisions and verify consistency?

The best way to trace debugging decisions is to think aloud by breaking the task into key decision points. You verify consistency across intermediate results and summarize the final answer, ensuring transparency and safety throughout the process.

How does transparent reasoning improve multi-constraint planning and architecture decisions?

Transparent reasoning improves multi-constraint planning by revealing explicit, step-by-step logic. It requires stating the core problem, evaluating tradeoffs at decision points, and checking intermediate results for consistency before finalizing architecture decisions.

When do I need explicit step-by-step reasoning for a math problem?

You need explicit step-by-step reasoning for math problems whenever the answer is not immediately obvious. It helps you handle multiple steps and non-trivial logic by verifying consistency across intermediate results before reaching a final conclusion.

Can I use step-by-step reasoning for problems involving tradeoffs and non-trivial logic?

Yes, you can use step-by-step reasoning for any problem involving tradeoffs or non-trivial logic. It restates the core question, breaks the task into sub-problems, and checks intermediate results to improve accuracy and traceability.