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Progressive Disclosure Disclosure Affordances

Community
Deibler
progressive-disclosure-disclosure-affordances

Use this skill when picking the *mechanism* for revealing tucked content — accordion vs. modal vs. tab vs. separate page vs. tooltip. Trigger when designing the UI for "More options," picking between an inline accordion and a side sheet, deciding whether a wizard step should be a modal or a separate page, or reviewing whether existing disclosure affordances are doing their job. Sub-aspect of `progressive-disclosure`; read that first.

Overview

PublisherDeibler
Repositoryuniversal-design-principles
Skill nameprogressive-disclosure-disclosure-affordances
Stars
9
Forks
3
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Deibler on GitHub. Read the source before you install it.

Installation

Install the Progressive Disclosure Disclosure Affordances AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Deibler/universal-design-principles/tree/main/plugins/cognition-and-learnability-principles/skills/progressive-disclosure-disclosure-affordances
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Deibler/universal-design-principles.git /tmp/universal-design-principles
mkdir -p .claude/skills
cp -r /tmp/universal-design-principles/plugins/cognition-and-learnability-principles/skills/progressive-disclosure-disclosure-affordances .claude/skills/progressive-disclosure-disclosure-affordances
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Progressive Disclosure Disclosure Affordances in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Progressive Disclosure Disclosure Affordances on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Progressive Disclosure Disclosure Affordances is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Progressive disclosure: choosing the affordance

Once you've decided what to tuck, the next decision is how to surface it on demand. Different disclosure affordances suit different relationships between the primary and secondary content. Picking the wrong one is a common subtle UX error.

The affordance ladder

Ordered roughly from lightest to heaviest:

Tooltip / popover         — supplementary info; doesn't disturb flow
Inline expand (accordion) — additional fields/sections within the page
Tab                       — parallel views in the same region
Side sheet / drawer       — detail beside primary content
Modal / dialog            — focused interaction, blocks primary
Separate page             — full context shift, deep-linkable

Each level adds friction; pick the lightest affordance that does the job.

Tooltip / popover

For supplementary information that the user might want but doesn't need to act on.

html
<button>
  Free trial
  <span tabindex="0" aria-describedby="trial-info">ⓘ</span>
</button>
<div id="trial-info" role="tooltip" hidden>
  14 days, no credit card required. Cancel anytime.
</div>

Use for:

  • Definitions of jargon.
  • Format hints for inputs.
  • Explanations of UI labels.
  • Status / metadata that isn't worth a separate field.

Don't use for:

  • Required interaction (clicking inside a tooltip is fragile).
  • Long-form content (tooltips are for small bits).
  • Mobile-primary surfaces (no hover; touch tooltips are awkward).

Inline expand (accordion)

The classic disclosure pattern: a section header that expands to reveal its content.

html
<details>
  <summary>Advanced filters</summary>
  <fieldset>
    <label>Created after <input type="date" /></label>
    <label>Tags <input /></label>
  </fieldset>
</details>

Use for:

  • Optional form fields.
  • Settings sections that are sometimes relevant.
  • FAQ-style content (question = trigger, answer = content).
  • Any case where the deeper content makes sense in line with the primary.

Don't use for:

  • Content that needs more space than the page can give.
  • Content the user must engage with for primary task completion.
  • Sequenced content (steps in a workflow — use a separate page or modal).

Tab

Parallel views within the same page region. Switching tabs preserves context (the user is still on the same page; they're just seeing a different facet).

html
<nav role="tablist">
  <button role="tab" aria-selected="true">Overview</button>
  <button role="tab">Activity</button>
  <button role="tab">Members</button>
  <button role="tab">Settings</button>
</nav>
<div role="tabpanel">...current tab content...</div>

Use for:

  • Parallel views of the same object (overview, activity, members for a project).
  • Different cuts of the same data (filter by status: All / Open / Closed).
  • Configuration sections grouped by purpose.

Don't use for:

  • Sequential workflows (tabs imply parallel; use a stepper for sequence).
  • Tabs where one is far more important than the others (just show the primary; tuck the rest behind a different affordance).
  • Mobile primary nav (mobile bottom-nav is a tab pattern at the global level, but mid-page tabs on mobile are often awkward).

Side sheet / drawer

A panel that slides in beside the primary content, leaving primary visible. Useful for detail-of-an-item interactions where the user wants to see context while they work.

html
<aside class="sheet" role="complementary">
  <header>
    <h2>Edit invoice #1284</h2>
    <button aria-label="Close">×</button>
  </header>
  <form>...invoice fields...</form>
  <footer>
    <button>Cancel</button>
    <button class="primary">Save</button>
  </footer>
</aside>

Use for:

  • Editing a row from a table (the table stays visible; the sheet is the editor).
  • Detail views in inboxes (Gmail's preview pane).
  • Filters or properties for a selected object (Figma's right panel).

Don't use for:

  • Standalone detail views the user might bookmark (use a separate page).
  • Long forms that benefit from full-page focus.
  • Modal-required interactions (use a true modal).

Modal / dialog

A focused surface that blocks the primary. The user can't continue with primary tasks until they close the modal.

html
<dialog role="dialog" aria-labelledby="dialog-title">
  <h2 id="dialog-title">Confirm deletion</h2>
  <p>Permanently delete "Q4 plan"? This can't be undone.</p>
  <button>Cancel</button>
  <button class="destructive">Delete</button>
</dialog>

Use for:

  • Destructive confirmations.
  • Decisions that genuinely block the primary task (you can't continue until you choose).
  • Brief, focused interactions (signing in, reviewing a single short form).

Don't use for:

  • Long flows that would feel claustrophobic in a modal (use a separate page).
  • Information the user might want to reference while continuing work (use a side sheet).
  • Trivial confirmations the user will dismiss on autopilot (lean on undo instead).

Separate page

A full URL change. Used when the disclosed content is large enough or important enough to warrant its own context.

Use for:

  • Deep settings (Account / Security / Billing).
  • Configuration UIs that fill the screen.
  • Documentation that benefits from its own URL (shareable, bookmarkable).
  • Anything the user might link to or return to directly.

Don't use for:

  • Quick edits that should preserve context.
  • Optional fields in an existing form.
  • Brief decisions / confirmations.

Picking the right affordance

A few diagnostic questions:

Does the user need to keep seeing the primary?

  • Yes → tooltip, inline expand, tab, or side sheet.
  • No → modal or separate page.

Will the user return to this disclosed content?

  • Yes, frequently → separate page (so they can bookmark / link).
  • No, just this once → modal or sheet.

Does the disclosed content have its own structure (multiple subsections)?

  • Yes → separate page or full sheet.
  • No → modal, accordion, or tooltip.

Is the disclosed content a parallel view (vs. a deeper level)?

  • Parallel → tab.
  • Deeper → accordion or modal.

Does the disclosed content involve a decision the user must make before continuing?

  • Yes → modal.
  • No → any other affordance.

Common mismatches

  • Modal where a tab would do. A "Filter" modal that pops up to set filters, then closes. Filters belong inline or in a side panel; they're parallel to the main view, not a blocking decision.
  • Accordion where a separate page would do. Account / billing / security crammed into accordions on a single Settings page. Each is its own context; they deserve their own pages.
  • Tooltip where an inline note would do. Important explanation hidden in a tooltip the user must hover. Inline help text under the field is more accessible and discoverable.
  • Separate page where a side sheet would do. Editing a row by navigating to its detail page, then back to the list. Loses scroll position and context. A side sheet preserves both.
  • Tab where progressive disclosure isn't needed. Two tabs where one has 95% of the relevant content. Just show the primary; the second "tab" can be a link or a smaller affordance.

Mobile considerations

Mobile compresses the affordance choices:

  • Tooltips become awkward (no hover); use inline help or a dedicated info screen.
  • Side sheets typically become full-screen sheets (left or right slide-in).
  • Modals typically become full-screen presentations.
  • Tabs stay viable but with smaller labels.
  • Inline accordions still work well; arguably better on mobile (less screen real estate for everything visible).

When in doubt on mobile, default to inline disclosure (accordion) or full-screen takeover. The middle ground (small popovers, partial overlays) often feels cramped.

Accessibility notes

  • <details> / <summary> is the most accessible inline-expand pattern; native keyboard, semantics, and screen-reader support.
  • <dialog> is the modern modal element with proper focus management when used with .showModal().
  • Tabs require ARIA: role="tablist", role="tab", role="tabpanel", aria-selected, arrow-key navigation.
  • Tooltips need keyboard activation (focus, not just hover) and proper aria-describedby references.
  • Sheets / drawers need focus trap, Esc to close, focus restoration on close.

Most modern UI libraries (Radix, React Aria, headless component sets) implement these correctly. Custom implementations frequently get focus management wrong; lean on libraries.

Heuristics

  1. The "lightest viable" rule. Pick the lightest affordance on the ladder that meets the need. Promoting unnecessarily adds friction.
  2. The deep-link test. Can users link directly to the disclosed content? If yes, you probably want a separate page (or modal whose state is in the URL). If no, lighter affordance is fine.
  3. The frequency check. How often does the user open this disclosure? Frequent → light affordance (low friction). Rare → heavier affordance is fine.
  4. The dismiss test. Can the user always dismiss / close? Esc, click outside, close button — at least two of these should work.

Related sub-skills

  • progressive-disclosure (parent).
  • progressive-disclosure-defaults-and-tucking — the editorial decisions that produce the choices this skill helps execute.
  • affordance (interaction) — disclosure triggers must look like triggers.
  • feedback-loop (interaction) — opening a disclosure should give immediate visual feedback.
  • accessibility-operable (process) — disclosure affordances must work with keyboard.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Progressive Disclosure Disclosure Affordances AI skill do?

Use this skill when picking the *mechanism* for revealing tucked content — accordion vs. modal vs. tab vs. separate page vs. tooltip. Trigger when designing the UI for "More options," picking between an inline accordion and a side sheet, deciding whether a wizard step should be a modal or a separate page, or reviewing whether existing disclosure affordances are doing their job. Sub-aspect of `progressive-disclosure`; read that first.

Why use Progressive Disclosure Disclosure Affordances on TypingMind?

Because you install it once and use it with any model. Progressive Disclosure Disclosure Affordances is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Progressive Disclosure Disclosure Affordances in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Deibler/universal-design-principles/tree/main/plugins/cognition-and-learnability-principles/skills/progressive-disclosure-disclosure-affordances. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Progressive Disclosure Disclosure Affordances?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Progressive Disclosure Disclosure Affordances?

As many as you like. As long as a model supports skills, you can use Progressive Disclosure Disclosure Affordances with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Progressive Disclosure Disclosure Affordances AI skill free?

It is published on GitHub by Deibler. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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