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Responsive Design

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nahid-sparktales
responsive-design

Make a layout hold from 320px to wide desktop — content-driven breakpoints, intrinsic layout before media queries, fluid type that still zooms, touch targets, reflow without hiding content, and what to check at each width. Fires when building or fixing layout, when something overflows or collapses at a size, or when a design only exists at one width. Not for proving it renders (browser-verification) and not for semantics or screen readers (accessibility).

Overview

Publishernahid-sparktales
Repositoryagent-dispatcher
Skill nameresponsive-design
Stars
58
Forks
5
Bundled files
1
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.

  • 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 nahid-sparktales on GitHub. Read the source before you install it.

Installation

Install the Responsive 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/nahid-sparktales/agent-dispatcher/tree/main/skills/design/responsive-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/nahid-sparktales/agent-dispatcher.git /tmp/agent-dispatcher
mkdir -p .claude/skills
cp -r /tmp/agent-dispatcher/skills/design/responsive-design .claude/skills/responsive-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Responsive 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 Responsive 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 Responsive 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.

Responsive design

Most responsive bugs are a layout that was designed at one width and then defended with media queries. Layouts that adapt on their own need fewer breakpoints and break in fewer places.

When this fires

Building or repairing any layout that will be seen at more than one width, and whenever a design hand-off shows a single desktop frame. It does not fire for the proving pass — screenshots, console and interaction checks belong to browser-verification.

Procedure

  1. Let the content choose the breakpoints. Widen and narrow until the layout actually breaks — a line gets too long, a card squashes, a nav wraps badly — and put a breakpoint there. Device names are marketing; the content is the constraint.
  2. Start from the small layout and add. Write the base styles for the narrow case, then use min-width queries to add complexity. Going the other way means every small screen pays to undo desktop rules, and undoing is where the leaks are.
  3. Reach for intrinsic layout before a media query. flex-wrap, grid-template-columns: repeat(auto-fit, minmax(…, 1fr)), min()/max()/clamp(), and container queries where the component's size — not the viewport's — is what should drive it. A component that adapts to its own container survives being moved; a viewport-keyed one does not.
  4. Make type fluid without breaking zoom. A clamp() with a rem term in the middle scales with the viewport and still responds to the user's font size and browser zoom. A size expressed in vw alone does not — it ignores zoom entirely, which is a genuine accessibility failure, not a stylistic choice. Keep an explicit floor and ceiling; line length around 45–75 characters.
  5. Keep spacing on one scale. Fluid gutters and section padding from the same tokens as the type scale. Ad-hoc pixel values per breakpoint are how layouts drift apart over time.
  6. Size targets for fingers, not cursors. 24×24 CSS px is the floor for any interactive target, with clear spacing between adjacent ones; make primary and frequently-tapped actions comfortably larger. Check the real hit area, not the icon — padding counts, a bare glyph does not.
  7. Reflow, never remove. At narrow widths, content stacks, wraps, collapses into a disclosure or moves into a menu. It does not disappear. Anything only reachable on desktop is a feature that does not exist on mobile — if a design asks for that, stop and ask, because it changes what the product does rather than how it looks.
  8. Handle media explicitly. Responsive images with srcset/sizes so small screens do not download desktop assets; an aspect-ratio or explicit dimensions so nothing jumps as images load; object-fit so crops behave. Long tables, code blocks and diagrams are the legitimate exception — give them their own horizontal scroll container rather than shrinking the page around them.
  9. Distrust viewport units on mobile. 100vh is taller than the visible area while browser chrome is showing; prefer the dynamic/small viewport units with a plain fallback underneath. Where a layout goes edge to edge on a notched device, pad with the safe-area environment variables and set the viewport meta to cover — and never disable user scaling.
  10. Do not tie behaviour to width. Wide does not mean mouse and narrow does not mean touch. Gate hover-only affordances on @media (hover: hover) and make sure anything revealed on hover has a tap or focus path too.
  11. Check at sizes, not at one size. Walk 320, 375, 768, 1024 and 1440 CSS px, plus 1280 at 400% zoom — which is the same reflow constraint as 320 and catches the zoom bugs that resizing misses. Reload after each change, do not just drag the window: layout-time breakpoints, container query registration and device gates only re-run on load.
  12. At every size, look for the same six things. Horizontal page scroll; clipped or overlapping content; text squeezed under ~40 characters or stretched past ~80; targets and their spacing; images loading at the right size with no jump; and whether the reading order still matches the visual order after items reflow.

Checklist

  • Breakpoints correspond to where content broke, not to device names
  • Base styles are the narrow case; complexity added with min-width
  • Intrinsic layout used where it removes a media query
  • Fluid type keeps a rem term, a floor and a ceiling; zoom still works
  • Every interactive target is at least 24×24 CSS px with real spacing
  • No content removed at small sizes — reflowed, collapsed or moved instead
  • No horizontal page scroll at 320px; exceptions scoped to their own container
  • Images sized responsively and reserve their space before loading
  • 100vh assumptions and safe areas handled; scaling not disabled
  • Hover-only affordances have a tap and focus equivalent
  • Each width was reloaded, not just resized
  • 1280 at 400% zoom checked alongside 320px

Failure handling

  • Something overflows and the culprit is not obvious — find the element wider than its container before changing anything. Long unbroken strings, fixed pixel widths, negative margins and 100vw inside a padded parent cause most of it. Do not apply overflow: hidden to the page: it hides the symptom and clips content for everyone.
  • The design only exists at one width — say which breakpoints you inferred and why, and get them confirmed. Inventing the mobile layout silently and calling it done is how two people ship two different products.
  • A fix at one width breaks another — re-walk the whole set of widths after every fix, not just the one you were working on. This is the most common regression in this area.
  • A third-party or embedded component will not reflow — contain it and its scroll, record it as a known limit, and do not claim the page reflows cleanly.
  • You cannot open a browser — report the layout as changed but unchecked. Reading CSS is not checking layout, and resizing without reloading is not checking breakpoints.

Evidence to report

The widths walked and whether each was reloaded; a screenshot per width where the layout meaningfully differs; what overflowed or clipped and what fixed it; the breakpoints added or moved, with the content reason for each; the zoom result at 400%; and the sizes, states or components not checked. "Made it responsive" without the width list is not evidence — hand the rendered proof to browser-verification.

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 Responsive Design AI skill do?

Make a layout hold from 320px to wide desktop — content-driven breakpoints, intrinsic layout before media queries, fluid type that still zooms, touch targets, reflow without hiding content, and what to check at each width. Fires when building or fixing layout, when something overflows or collapses at a size, or when a design only exists at one width. Not for proving it renders (browser-verification) and not for semantics or screen readers (accessibility).

Why use Responsive Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nahid-sparktales/agent-dispatcher/tree/main/skills/design/responsive-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 Responsive 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 Responsive Design?

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

Is the Responsive Design AI skill free?

Yes. It is published on GitHub by nahid-sparktales 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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