Ux Settings logo

Ux Settings

Organization
Uxcel-Lab
ux-settings

Design or critique a settings / preferences page — organizing many options without overwhelm, plus the save model (autosave vs. explicit Save, confirmation, revert). Applies the always-true core (only relevant settings, frequency-ordered groups, plain labels, visible current status, destructive actions last, clear save feedback) and gates context-dependent levers (autosave vs. Save button, search, advanced-settings split, sensitive-change confirmation) with trade-offs. Trigger when the user asks to design or review a settings page, preferences screen, account settings, app configuration, or a save/confirmation pattern.

Overview

PublisherUxcel-Lab
Repositoryproduct-skills
Skill nameux-settings
Stars
35
Forks
8
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Uxcel-Lab on GitHub. Read the source before you install it.

Installation

Install the Ux Settings 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/Uxcel-Lab/product-skills/tree/main/ux/screens/settings
  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/Uxcel-Lab/product-skills.git /tmp/product-skills
mkdir -p .claude/skills
cp -r /tmp/product-skills/ux/screens/settings .claude/skills/ux-settings
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux Settings 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 Ux Settings 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 Ux Settings 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.

Settings Skill

How this skill behaves (read first)

This is a generative skill. Settings is a pattern users know — the job is get in, change one thing, get out — and the default failures fight that: a flat dump of every option, the page used as a junk drawer for links that fit nowhere else, technical-jargon labels, no current status shown, destructive actions sitting up top where they're hit by accident, and changes that save with no feedback (or autosave where the user expected a deliberate Save). A settings screen has two design problems in one — how the options are organized and how changes are saved — and each has its own rules. So this skill gates:

  1. Establish scale, platform, and sensitivity — how many settings, mobile vs. web, and whether sensitive data is involved decide the structure and the save model.
  2. Apply the always-true core — relevance, grouping, plain labels, visible status, destructive-last, clear save feedback.
  3. Surface the context-dependent decisions (autosave vs. Save button, search, advanced split, confirmation/2FA) with trade-offs.

Then it hands off to ux-heuristics-audit, ux-accessibility-audit, ux-aesthetics-audit, ux-microcopy-audit, ux-information-architecture-audit, ux-dark-patterns-audit, and ux-mobile-responsiveness-audit for validation.

Scope & composition (per docs/orchestration-policy.md §9): this skill covers the settings page and its save model and composes lower-scope skills rather than re-deriving them. Core children (built as part of the page): the choice of control (toggle vs. checkbox vs. radio vs. slider) via ux-selection-controls. Peers that own a sub-part (defer): the search input itself to ux-search and notification-preference depth to ux-notifications-and-toasts (they own those sub-parts if reached). Inherit, don't regenerate: under an existing design system, take color/type/spacing from its tokens — only set those when designing from scratch.


Step 0 — Establish context before designing

Ask if not known; state the assumption if proceeding without an answer:

  • How many settings? A handful needs only grouping; dozens need search, an advanced-settings split, and disciplined frequency ordering. Don't add search to a five-option page; don't ship fifty options as one flat list.
  • Platform. Mobile changes save expectations and adds the device-vs-app permission split (notifications/location toggles live partly in the OS). macOS users expect autosave; Windows users expect explicit Save/Apply — match the platform habit.
  • Sensitive data? Email, password, billing, payment methods — these warrant confirmation and often two-factor verification before a change applies.
  • Audience. General users need plain language; only a developer-facing product can assume technical terms.

The always-apply core (correct for almost every settings page)

Organize so users get in and out fast

  • Only real settings belong here. Settings is for user preferences (notifications, privacy, appearance, account). Don't use it as a catch-all for links that fit nowhere else — that confuses and distracts.
  • Group related settings by type (account, security, notifications…) or use case, separated with headings and white space — not one continuous list and not a wall of divider lines (visual noise).
  • Order by frequency. The settings users change most sit at the top and are clearly visible; rarely-touched ones go lower; advanced/expert-only options hide behind an "Advanced" disclosure.
  • Make settings easy to reach — a known spot (top corner on web, bottom bar or top corner on mobile), never buried in submenus.

Make each control self-explanatory

  • Plain-language labels and short helper text. Write the way the audience talks (research real vocabulary from support tickets, reviews, forums); explain non-obvious controls in a brief line placed right next to the control (proximity), not floating.
  • Show current status beside each setting — the toggle/selected value or a one-line summary of the current configuration — so users can review choices without drilling in.
  • Label toggles by the action, not the state — "Shake to send feedback," not "Shake to send feedback off"; the control's visual state shows on/off.

Protect the user

  • Destructive actions (log out, delete/deactivate account) go at the bottom, set apart by color, an icon, or extra white space — reducing accidental taps. (Note: hiding logout/delete to trap users is a dark pattern — put them last, don't bury them. → dark-patterns.)
  • Surface urgent system alerts at the top — a privacy-policy change, expiring trial, or low storage deserves a badge and top placement, not a buried line.

Close the loop on saving

  • Give clear save feedback through button states: Save disabled until something changes → active once it does (signaling unsaved changes) → loading while saving → a non-intrusive success toast/banner confirming it saved (with Undo for reversible changes).
  • Let users leave without saving. Closing or pressing Back should not silently persist changes; if they abandon unsaved sensitive edits, use a short, specific confirmation dialog.

The context-dependent decisions (surface, don't auto-apply)

DecisionApply whenAvoid / adapt whenDefault recommendation
Autosave vs. explicit SaveAutosave for single-action, easy-to-undo controls (a standalone toggle/checkbox that takes effect immediately)Multi-field or deliberate changes, or sensitive data, where users want to confirmAutosave atomic toggles; an explicit Save for grouped/sensitive edits; respect platform habit (macOS autosave / Windows Save)
Search within settingsMore than a handful of options, or sub-menus users must scroll through; show related results not just exact (search "Siri" → Accessibility, Notifications…) with auto-suggestA short page where grouping already makes everything visibleAdd once scrolling/sub-menus appear — after first minimizing the option count
Advanced-settings split (progressive disclosure)A mix of common and expert/complex optionsHiding a commonly-needed setting behind "Advanced"Primary visible to all; advanced disclosed on request — ≤ the depth users can follow
Confirmation / two-factor on a changeChanging sensitive data (email, password, billing) or destructive actionsTrivial reversible toggles (confirmation fatigue)Confirm + 2FA for sensitive/destructive; let everyday toggles apply freely
Confirmation-dialog wordingWhen you do confirm, the heading states the one action; CTAs are unambiguousGeneric "Warning" / "Are you sure?"; "Cancel" next to a delete (ambiguous — cancel what?)Specific heading + action-word buttons (Leave, Stay, Delete) → microcopy
Mobile: deep-link to OS settingsA permission (notifications on/off, location) lives in the device SettingsPretending the app can fully toggle an OS-level permissionManage in-app what you can; explain why and route to system Settings for the rest
DefaultsSet defaults to the experience most users expect (validate with research/card sorting)Defaulting from team preference/assumptionResearch-backed defaults; card-sort the grouping and naming when unsure

Validate the result (orchestration)

Hand-offs name each lens by its installable skill name. Invoke one only if that skill is installed; if it isn't, this skill's own core already carries these rules — proceed without it rather than blocking.

After generating or revising, hand the result to the audit lenses rather than declaring it done. These are candidate lenses — posture is set by docs/orchestration-policy.md, or route the whole thing through ux-design-review. Here, heuristics, microcopy, and dark-patterns are Tier A (auto-run); accessibility, aesthetics, information-architecture, and mobile-responsiveness are Tier B (offered) — under an existing design system aesthetics is suppressed and accessibility narrows to usage; mobile-responsiveness applies only on mobile. If the user invoked this skill for one specific thing, respect that scope.

  • ux-heuristics-audit (Tier A) — visibility of system status (current values, save state), user control & freedom (leave without saving, Undo), error prevention (confirm sensitive/destructive changes), recognition over recall.
  • ux-accessibility-audit (Tier B — offer; narrow under a design system) — control labels and states announced, target sizes, focus order, contrast on status indicators.
  • ux-aesthetics-audit (Tier B — offer; suppress under a design system) — grouping legibility, white space over divider-line noise, a scannable hierarchy rather than a flat list.
  • ux-microcopy-audit (Tier A) — this skill leans hard on copy: plain labels, action-based toggle labels, helper text, and confirmation-dialog headings/CTAs.
  • ux-information-architecture-audit (Tier B — offer) — whether the grouping scheme and ordering match users' mental model (card-sort evidence), and whether labels carry scent.
  • ux-dark-patterns-audit (Tier A) — destructive actions placed last but not hidden; no confirmshaming on cancellation; no forced retention friction.
  • ux-mobile-responsiveness-audit (Tier B — offer) — touch targets, the app-vs-OS permission split, save-button reach (sticky bottom), one-handed use.

If the audits surface a conflict (e.g., security wants confirmation on everything vs. fast settings), resolve back toward the primary task: users came to change one thing and leave — protect the dangerous changes, get out of the way on the rest.


Common do/don't patterns

❌ Don't✅ Do
Dump every option in one flat listGroup by type/use case with headings + white space
Use settings as a junk drawer for stray linksOnly real preferences; everything else lives elsewhere
Order by internal logicOrder by how often users change each setting; advanced hidden
Technical/jargon labelsPlain words from how users actually talk; short helper text nearby
Hide the current valueShow each setting's status beside it
"Notifications: Off" as a toggle labelAction-based label ("Email notifications") + visual on/off state
Destructive actions up top — or hidden entirelyLast, set apart by color/space; present, not buried (→ dark-patterns)
Save silently / not at allSave state: disabled → active → loading → success toast (+ Undo)
Autosave a multi-field or sensitive editExplicit Save for deliberate/sensitive; autosave atomic toggles
"Are you sure?" / "Cancel" on a delete dialogSpecific heading + unambiguous action-word CTAs
Bolt search onto a 5-item pageMinimize options first; add search when scrolling/sub-menus appear
Ship without checkingHand off to heuristics + accessibility + aesthetics + microcopy + IA + dark-patterns + mobile-responsiveness

Source lessons (Uxcel)

Frequently asked questions

What does the Ux Settings AI skill do?

Design or critique a settings / preferences page — organizing many options without overwhelm, plus the save model (autosave vs. explicit Save, confirmation, revert). Applies the always-true core (only relevant settings, frequency-ordered groups, plain labels, visible current status, destructive actions last, clear save feedback) and gates context-dependent levers (autosave vs. Save button, search, advanced-settings split, sensitive-change confirmation) with trade-offs. Trigger when the user asks to design or review a settings page, preferences screen, account settings, app configuration, or...

Why use Ux Settings on TypingMind?

Because you install it once and use it with any model. Ux Settings 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 Ux Settings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Uxcel-Lab/product-skills/tree/main/ux/screens/settings. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ux Settings?

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 Ux Settings?

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

Is the Ux Settings AI skill free?

Yes. It is published on GitHub by Uxcel-Lab under the MIT license. 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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