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Ux Writing Content

Community
RealTask
ux-writing-content

Write clear, consistent interface copy for navigation, buttons, forms, onboarding, empty states, errors, confirmations, and notifications.

Overview

PublisherRealTask
RepositoryMAX-DESIGN
Skill nameux-writing-content
Stars
4
Forks
0
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 RealTask on GitHub. Read the source before you install it.

Installation

Install the Ux Writing Content 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/RealTask/MAX-DESIGN/tree/main/skills/ux-writing-content
  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/RealTask/MAX-DESIGN.git /tmp/MAX-DESIGN
mkdir -p .claude/skills
cp -r /tmp/MAX-DESIGN/skills/ux-writing-content .claude/skills/ux-writing-content
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux Writing Content 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 Writing Content 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 Writing Content 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.

UX writing and content design

When to use

Use when writing or reviewing product labels, calls to action, navigation, helper text, validation messages, empty states, onboarding, notifications, confirmations, or any copy that changes what users understand or do.

Workflow

1. Identify the user and moment

Determine what the user is trying to accomplish, what they already know, what information they need now, and what the next decision will be. Write for the current state of knowledge, not for an internal product team.

2. Set the content contract

Define the product voice in a few useful traits, such as calm, direct, supportive, technical, or playful. Match the brand without sacrificing clarity. Keep labels consistent across screens and distinguish interface terms that have different meanings.

3. Write for action and outcome

Use specific verbs for actions (“Save changes”, “Invite member”) and describe the outcome when ambiguity matters. Buttons should say what happens, not rely on generic labels like “Submit” or “Continue” when a more informative label fits. Do not make a button promise an outcome the product cannot guarantee.

4. Design states as a set

For each relevant feature, cover:

  • Empty: explain why the area is empty and the next useful action.
  • Loading: communicate what is happening without inventing time estimates.
  • Error: say what failed, what remains safe, and how to recover.
  • Validation: identify the problem and how to fix it.
  • Success: confirm the completed action and any relevant next step.
  • Destructive action: explain the consequence clearly and proportionately.

Do not blame the user, expose sensitive implementation details, or present unknown causes as facts.

5. Keep copy scannable and inclusive

Put essential information first. Use concrete language, short paragraphs, descriptive headings, and familiar terms. Avoid unexplained jargon, idioms that translate poorly, color-only wording, shame, and artificial urgency. Respect people using translation, screen readers, zoom, or speech input.

6. Treat content as part of the layout

Use realistic copy lengths and localizable strings in implementation. Check truncation, wrapping, pluralization, dates, numbers, and text expansion. Avoid baking text into images or concatenating fragments that make translation impossible.

7. Test comprehension

Check labels in context, not in isolation. Ask whether users can predict what an action does, understand an error, and recover without losing input. Use content reviews or usability tests where possible; label speculative improvements as hypotheses.

Quality gates

  • Every label and message has a clear user purpose.
  • Actions describe a predictable outcome.
  • Error copy gives a recovery path without inventing a cause.
  • Empty, loading, success, and destructive states are consistent.
  • Copy is scannable, inclusive, and ready for localization.
  • No fake urgency, deceptive claims, or fabricated system status is introduced.
  • Content lengths are checked in realistic layouts.

Frequently asked questions

What does the Ux Writing Content AI skill do?

Write clear, consistent interface copy for navigation, buttons, forms, onboarding, empty states, errors, confirmations, and notifications.

Why use Ux Writing Content on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RealTask/MAX-DESIGN/tree/main/skills/ux-writing-content. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ux Writing Content?

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 Writing Content?

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

Is the Ux Writing Content AI skill free?

Yes. It is published on GitHub by RealTask 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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