writing-pset-walkthrough

Write structured problem-set walkthroughs with reasoning steps and gotchas.

2|Updated May 23, 2026
One-click install
npx skills add https://github.com/rocklambros/rcs --skill writing-pset-walkthrough
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: writing-pset-walkthrough
Source: https://github.com/rocklambros/rcs/tree/main/skills/teaching/writing-pset-walkthrough
Command: npx skills add https://github.com/rocklambros/rcs --skill writing-pset-walkthrough

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns non-trivial problem-set questions into structured walkthroughs that teach the reasoning process, not just the final answer.

Core Features & Use Cases

  • Worked step-by-step solutions for statistics, probability, machine learning, applied math, and programming exercises.
  • Pedagogy-first formatting with a four-part template for each step: what it asks, why it works, what the result means, and the likely gotcha.
  • Audience-aware wording that matches the student’s level, handles multiple valid solution paths, and calls out the principle chain and variation patterns.
  • Use case: a TA can turn a difficult assignment question into a reference solution that helps students recognize the pattern on the next variant.

Quick Start

Ask for a walkthrough of a specific multi-step problem, and include the audience tier, topic, and any student attempt if you want comparative feedback.

Frequently Asked Questions about writing-pset-walkthrough

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

FAQPage Schema
How do I write a problem set walkthrough that teaches reasoning instead of just giving answers?

To write a problem set walkthrough, structure each step into four parts: what the question asks, why the approach works, what the result means, and the likely gotcha. This pedagogy-first format teaches the reasoning process for statistics and machine learning exercises.

What is the best way to explain multiple valid solution paths for a machine learning assignment?

The best way to explain multiple valid solution paths is to use audience-aware wording that matches the student's level, compare the different approaches directly, and recap the principle chain. This helps students recognize patterns for future problem variations.

Can I use this structured walkthrough format for applied math and programming exercises?

Yes, you can use this structured walkthrough format for applied math and programming exercises. It supports non-trivial academic questions across statistics, probability, machine learning, and programming by generating worked step-by-step solutions with observed gotchas.

How do I include common gotchas and student mistakes in a reference solution?

To include common gotchas in a reference solution, integrate an observed gotcha section within every step of the four-part teaching template. This ensures students are warned about likely errors and understand the principle chain recap for the next variant.

Does generating step-by-step reference solutions require a specific audience tier?

Generating step-by-step reference solutions does not mandate a specific audience tier but requires audience-matched vocabulary. You provide the student level, topic, and any student attempt to receive comparative feedback and appropriately tailored wording.