UDL Options Designer Agent Skill

Generates multiple means of engagement, representation, and action/expression for a given learning goal.

Context cost
3.4k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 13.6 kBtext throughout, nothing executable
Licence
not declarednone named by its author
Last change
—v1.0
Servers it uses
Noneruns standalone

What it does

Generates multiple means of engagement, representation, and action/expression for a given learning goal. Produces specific, practical alternatives — not generic options — and recommends the highest-impact single change.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

accesscastdifferentiationdocumentationinclusive-designmultiple-meansoptionsudl

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md13.6 kB · preview
--- # AGENT SKILLS STANDARD FIELDS (v2) name: udl-options-designer disable-model-invocation: false user-invocable: true effort: medium # EXISTING FIELDS skill_id: "inclusive-design/udl-options-designer" skill_name: "UDL Options Designer" domain: "inclusive-design" version: "1.0" evidence_strength: "moderate" evidence_sources: - "Rose & Meyer (2002) — Teaching Every Student in the Digital Age: Universal Design for Learning" - "CAST (2018) — Universal Design for Learning Guidelines version 2.2" - "Meyer, Rose & Gordon (2014) — Universal Design for Learning: Theory and Practice" - "Ok, Rao, Bryant & McDougall (2017) — Universal Design for Learning in Pre-K to Grade 12 Classrooms: A Systematic Review of Research" - "Rao & Meo (2016) — Using Universal Design for Learning to Design Standards-Based Lessons" - "Edyburn (2010) — Would You Recognize Universal Design for Learning if You Saw It?" input_schema: required: - field: "learning_goal" type: "string" - field: "current_approach" type: "string" optional: - field: "learner_context" type: "string" - field: "available_resources" type: "string" output_schema: type: "object" fields: - field: "engagement_options" type: "array" - field: "representation_options" type: "array" - field: "action_expression_options" type: "array" - field: "minimum_viable_udl" type: "string" - field: "implementation_notes" type: "array" chains_well_with: - "inclusive-design/udl-lesson-auditor" - "inclusive-design/udl-barrier-anticipator" - "curriculum-assessment/differentiation-adapter" - "curriculum-assessment/formative-assessment-technique-selector" - "self-regulated-learning/self-regulation-scaffold-generator" teacher_time: "5-10 minutes" tags: ["UDL", "inclusive-design", "options", "multiple-means", "access", "differentiation", "CAST"] ---
66# UDL Options Designer
67
68## What This Skill Does
69
70Given a learning goal and current teaching approach, generates genuine alternatives across Universal Design for Learning's three principles: Multiple Means of Engagement, Multiple Means of Representation, and Multiple Means of Action and Expression. The alternatives maintain the same learning goal while varying the path. This is the design-thinking skill of UDL — not a checklist of options added after the fact, but genuine consideration of how different learners might reach the same understanding by different routes.
71
72The key distinction is specificity. This skill does not generate generic options ("provide visual supports"). It generates specific ones: "Create a labelled diagram of the photosynthesis process with colour-coded inputs and outputs, so students can trace the energy conversion visually before or alongside reading the text." Each alternative notes which learners it particularly supports and connects the rationale to learning science, not just UDL labels. The output also includes a minimum viable UDL recommendation — the one highest-impact change if the teacher can only do one thing.
73
74## Evidence Foundation
75
76Universal Design for Learning is a design framework developed by CAST, grounded in three principles derived from neuroscience, cognitive science, and educational research (Rose & Meyer, 2002; CAST, 2018). The framework holds that learner variability is not the exception but the norm, and that instructional design should anticipate variability rather than respond to it after learning has failed. Evidence for UDL as a complete framework is moderate: well-established in practice and grounded in related research, but implementation evidence is mostly quasi-experimental (Ok, Rao, Bryant & McDougall, 2017).
77
78The individual strategies within UDL draw on stronger evidence bases. Offering multiple representations builds on multimedia learning research showing that information encoded in multiple modalities produces deeper understanding than single-mode presentation (Mayer, 2009). Offering choice in how students demonstrate learning connects to self-determination theory, which consistently shows that perceived autonomy supports intrinsic motivation (Ryan & Deci, 2000). Varied engagement strategies draw on research into interest, attention, and executive function variability. UDL is a design framework that helps teachers anticipate and reduce access barriers — it is not a validated intervention, and it does not guarantee that all learners will access all content equally.
79
80## Prompt
81
82```text
83You are a UDL specialist and learning designer. Your task is to generate specific, practical learning options across Universal Design for Learning's three principles for the learning goal below. You are NOT generating a generic UDL checklist. You are generating genuine alternatives that maintain the same learning goal while varying the path — each option must be specific enough to implement immediately.
84
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,848 words
Files1
Licencenot declared
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈800
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
2,600
on trigger
The instruction body, read only when the skill fires.
1.7%
of a 200k window
Ten skills this size would take about 17% of the window before you open a file.
050k100k150k200k context window

3.4k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

1 file, 13.6 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md13.6 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# UDL Options Designer · 3.4k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/udl-options-designer/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/udl-options-designer" ] && { [ ! -e .claude/skills/udl-options-designer ] || { mv .claude/skills/udl-options-designer "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/udl-options-designer" .claude/skills/ && echo "Installed .claude/skills/udl-options-designer"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add garethmanning/udl-options-designer

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/udl-options-designer/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/udl-options-designer/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/udl-options-designer" ] && { [ ! -e ~/.claude/skills/udl-options-designer ] || { mv ~/.claude/skills/udl-options-designer "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/udl-options-designer" ~/.claude/skills/ && echo "Installed ~/.claude/skills/udl-options-designer" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/udl-options-designer/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version1.0
Publishedno release date on file
PriceFree
Referencegarethmanning/udl-options-designer

Versions

v1.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v1.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v1.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

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