udl-options-designer

Generate UDL alternatives for engagement, representation, and action/expression.

583|96|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/GarethManning/education-agent-skills --skill udl-options-designer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: udl-options-designer
Source: https://github.com/GarethManning/education-agent-skills/tree/main/skills/inclusive-design/udl-options-designer
Command: npx skills add https://github.com/GarethManning/education-agent-skills --skill udl-options-designer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps teachers and designers transform a learning goal into concrete, learner-accessible alternatives instead of vague “add supports” ideas, while protecting the integrity of the original goal.

Core Features & Use Cases

  • UDL-aligned option generation: Produces 2–3 specific alternatives each for Engagement, Representation, and Action/Expression for a given learning goal and current approach.
  • Rationale grounded in learning science: Explains which learners each option supports (e.g., language processing, executive function, cognitive load) and why.
  • Minimum Viable UDL: Recommends the single highest-impact change to implement first, plus practical guidance to avoid overwhelming students with too much choice.

Quick Start

Ask the AI to generate UDL options for your next lesson by providing your learning goal, what you currently do, and any learner context or available resources.

Frequently Asked Questions about udl-options-designer

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

FAQPage Schema
How do I generate specific UDL options for a lesson plan?

To generate Universal Design for Learning options, provide your learning goal, current teaching approach, and any learner context. The system outputs actionable alternatives for engagement, representation, and action/expression paths.

What is the difference between UDL alignment and generic differentiation checklists?

UDL alignment generates specific, implementable alternatives that preserve the original learning goal, whereas generic differentiation checklists provide vague support ideas without grounding in specific learner needs or cognitive load rationale.

How can I design inclusive learning paths without overwhelming students with too much choice?

Design inclusive learning paths by implementing the recommended Minimum Viable UDL, which identifies the single highest-impact change to make first, providing practical guidance to avoid overwhelming students with excessive options.

Does this approach work for varying engagement, representation, and expression simultaneously?

Yes, the approach works by producing two to three specific alternatives for each of the engagement, representation, and action/expression categories simultaneously, ensuring comprehensive inclusive education design.

What inputs do I need to provide for UDL lesson design?

You need to provide structured inputs detailing your specific learning goal, your current instructional approach, and any relevant classroom context or available resources to generate accurate UDL alternatives.