# Worked Example To Problem Solving Transition Designer

Design the transition from worked examples to independent problem-solving using...

- Repository: https://github.com/GarethManning/education-agent-skills (939 stars)
- Category: Design
- License: see repository
- Last updated: 2026-10-22
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add GarethManning/education-agent-skills --skill worked-example-to-problem-solving-transition-designer -g -a claude-code -y`
Codex: `npx skills add GarethManning/education-agent-skills --skill worked-example-to-problem-solving-transition-designer -g -a codex -y`
Cursor: `npx skills add GarethManning/education-agent-skills --skill worked-example-to-problem-solving-transition-designer -g -a cursor -y`
Gemini CLI: `npx skills add GarethManning/education-agent-skills --skill worked-example-to-problem-solving-transition-designer -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add GarethManning/education-agent-skills`

## Description

Design the transition from worked examples to independent problem-solving using expertise-reversal principles. Use when students follow examples but cannot solve problems alone.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Worked Example to Problem Solving Transition Designer

## What This Skill Does

Designs the transition sequence from studying worked examples to solving problems independently, the critical phase where scaffolding is gradually removed and students take over the cognitive work. This addresses one of the most important findings in cognitive load theory: the expertise reversal effect (Kalyuga et al., 2003). When students are novices, worked examples are highly effective, they reduce extraneous cognitive load and allow students to build schemas. But as students develop competence, the same worked examples become REDUNDANT and actually HARM learning, the scaffolding that helped novices now prevents more advanced students from engaging in the active processing that drives further learning. The optimal instruction is not fixed but ADAPTIVE: it should shift from worked examples to problem solving as the student's expertise grows. Renkl & Atkinson (2003) developed the "fading" approach: rather than an abrupt switch from examples to problems, gradually remove steps from the worked examples so students progressively take over more of the work. This skill designs the complete fading sequence, including the triggers for when to fade (based on student performance), the order of fading (which steps to remove first), and the design of the independent practice phase that follows.

## Evidence Foundation

The rest: https://github.com/GarethManning/education-agent-skills/blob/HEAD/skills/ai-learning-science/worked-example-to-problem-solving-transition-designer/SKILL.md