# Digital Worked Example Sequence

Create an interactive digital worked example sequence with fading for online or blended...

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

## Install

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

## Description

Create an interactive digital worked example sequence with fading for online or blended delivery. Use when building e-learning modules, LMS content, or app-based instruction.

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

# Digital Worked Example Sequence

## What This Skill Does

Designs a worked example sequence optimised for digital delivery, incorporating self-explanation prompts, a systematic fading schedule, and interactivity design that exploits what digital environments offer beyond paper. The sequence moves students from studying complete worked examples (where every step is shown and explained) through faded examples (where progressively more steps are removed for the student to complete) to independent problem-solving. The critical insight from Renkl (2014) is that worked examples only produce learning when students actively process them, passive reading of worked examples is barely better than no examples at all. Digital delivery creates unique opportunities (self-explanation prompts at each step, immediate feedback on faded steps, adaptive pacing based on performance) and unique risks (split attention between screen elements, cognitive overload from multimedia, temptation to click through without thinking). The output includes the complete example sequence, embedded self-explanation prompts, a precise fading schedule, and digital design specifications. AI is specifically valuable here because designing an effective digital worked example sequence requires coordinating content design (the mathematical or procedural steps), cognitive design (fading schedule, self-explanation points), and interface design (how steps are revealed, where prompts appear, how feedback is given), three design dimensions that must be aligned.

## Evidence Foundation

The rest: https://github.com/GarethManning/education-agent-skills/blob/HEAD/skills/ai-learning-science/digital-worked-example-sequence/SKILL.md