Content Design logo

Content Design

Organization
memi-design
content-design

Design clear, consistent product language for navigation, actions, forms, onboarding, empty states, errors, confirmations, permissions, and trust-sensitive moments. Use when words affect comprehension, action, recovery, or confidence.

Overview

Publishermemi-design
Repositorydesign-skills
Skill namecontent-design
Stars
7
Forks
0
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by memi-design on GitHub. Read the source before you install it.

Installation

Install the Content Design 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/memi-design/design-skills/tree/main/skills/content-design
  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/memi-design/design-skills.git /tmp/design-skills
mkdir -p .claude/skills
cp -r /tmp/design-skills/skills/content-design .claude/skills/content-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Design 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 Content Design 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 Content Design 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.

Content Design

Treat language as part of the interaction model. Do not polish isolated strings without understanding user intent, system state, consequence, and next action.

Inputs

Gather the user goal, audience knowledge, product terminology, voice principles, interface states, legal constraints, localization needs, character constraints, and evidence from research, support, search, or analytics.

Workflow

  1. Define the communication job. State what the user needs to understand or do at this moment and what the system knows.
  2. Establish terminology. Create one preferred term for each concept, record synonyms and prohibited ambiguity, and align labels across navigation, UI, help, notifications, and support.
  3. Write in action order. Lead with the information or action needed now. Use specific verbs and concrete objects. Remove throat-clearing and internal system language.
  4. Match copy to state. Distinguish initial, loading, empty, partial, success, warning, error, blocked, expired, and offline states.
  5. Design actions and consequences. Button labels should predict the immediate result. Pair destructive or high-trust actions with consequence, scope, and reversibility.
  6. Write recovery. Explain what happened, what remains safe, what the user can do next, and where responsibility lies. Do not blame the user or expose raw implementation errors.
  7. Handle trust. Explain permissions, automation, data use, billing, and irreversible changes before commitment. Avoid coercive urgency or disguised consent.
  8. Prepare localization. Avoid embedded word order, idioms, concatenated fragments, unexplained abbreviations, and layouts that fail under text expansion or RTL.
  9. Test comprehension. Use cloze tests, first-click tasks, interviews, support review, and production behavior where consequence warrants it.

Output contract

Deliver:

  • communication objective and audience context;
  • terminology decisions;
  • state-by-state copy table;
  • action and confirmation language;
  • error and recovery patterns;
  • localization and accessibility notes;
  • unresolved legal or policy dependencies.

Verification

Read every string in its real state and sequence. Confirm that labels remain distinct, actions predict outcomes, errors provide recovery, copy does not promise an unconfirmed result, and critical meaning is not carried by color or placement alone.

Use information-architecture for taxonomy and navigation structure, interaction-design for state behavior, and ai-interaction-design when language describes generated output, uncertainty, or automation.

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 Content Design AI skill do?

Design clear, consistent product language for navigation, actions, forms, onboarding, empty states, errors, confirmations, permissions, and trust-sensitive moments. Use when words affect comprehension, action, recovery, or confidence.

Why use Content Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/memi-design/design-skills/tree/main/skills/content-design. 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 Content Design?

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 Content Design?

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

Is the Content Design AI skill free?

Yes. It is published on GitHub by memi-design 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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