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Adapt

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fengshao1227
adapt

Adapt designs to work across different screen sizes, devices, contexts, or platforms. Implements breakpoints, fluid layouts, and touch targets. Use when the user mentions responsive design, mobile layouts, breakpoints, viewport adaptation, or cross-device compatibility.

Overview

Publisherfengshao1227
Repositoryccg-workflow
Skill nameadapt
Stars
5.9K
Forks
446
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 fengshao1227 on GitHub. Read the source before you install it.

Installation

Install the Adapt 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.
  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/fengshao1227/ccg-workflow.git /tmp/ccg-workflow
mkdir -p .claude/skills
cp -r /tmp/ccg-workflow/templates/skills/impeccable/adapt .claude/skills/adapt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Adapt 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 Adapt 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 Adapt 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.

Adapt existing designs to work effectively across different contexts - different screen sizes, devices, platforms, or use cases.

MANDATORY PREPARATION

Invoke /frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first. Additionally gather: target platforms/devices and usage contexts.


Assess Adaptation Challenge

Understand what needs adaptation and why:

  1. Identify the source context:

    • What was it designed for originally? (Desktop web? Mobile app?)
    • What assumptions were made? (Large screen? Mouse input? Fast connection?)
    • What works well in current context?
  2. Understand target context:

    • Device: Mobile, tablet, desktop, TV, watch, print?
    • Input method: Touch, mouse, keyboard, voice, gamepad?
    • Screen constraints: Size, resolution, orientation?
    • Connection: Fast wifi, slow 3G, offline?
    • Usage context: On-the-go vs desk, quick glance vs focused reading?
    • User expectations: What do users expect on this platform?
  3. Identify adaptation challenges:

    • What won't fit? (Content, navigation, features)
    • What won't work? (Hover states on touch, tiny touch targets)
    • What's inappropriate? (Desktop patterns on mobile, mobile patterns on desktop)

CRITICAL: Adaptation is not just scaling - it's rethinking the experience for the new context.

Plan Adaptation Strategy

Create context-appropriate strategy:

Mobile Adaptation (Desktop → Mobile)

Layout Strategy:

  • Single column instead of multi-column
  • Vertical stacking instead of side-by-side
  • Full-width components instead of fixed widths
  • Bottom navigation instead of top/side navigation

Interaction Strategy:

  • Touch targets 44x44px minimum (not hover-dependent)
  • Swipe gestures where appropriate (lists, carousels)
  • Bottom sheets instead of dropdowns
  • Thumbs-first design (controls within thumb reach)
  • Larger tap areas with more spacing

Content Strategy:

  • Progressive disclosure (don't show everything at once)
  • Prioritize primary content (secondary content in tabs/accordions)
  • Shorter text (more concise)
  • Larger text (16px minimum)

Navigation Strategy:

  • Hamburger menu or bottom navigation
  • Reduce navigation complexity
  • Sticky headers for context
  • Back button in navigation flow

Tablet Adaptation (Hybrid Approach)

Layout Strategy:

  • Two-column layouts (not single or three-column)
  • Side panels for secondary content
  • Master-detail views (list + detail)
  • Adaptive based on orientation (portrait vs landscape)

Interaction Strategy:

  • Support both touch and pointer
  • Touch targets 44x44px but allow denser layouts than phone
  • Side navigation drawers
  • Multi-column forms where appropriate

Desktop Adaptation (Mobile → Desktop)

Layout Strategy:

  • Multi-column layouts (use horizontal space)
  • Side navigation always visible
  • Multiple information panels simultaneously
  • Fixed widths with max-width constraints (don't stretch to 4K)

Interaction Strategy:

  • Hover states for additional information
  • Keyboard shortcuts
  • Right-click context menus
  • Drag and drop where helpful
  • Multi-select with Shift/Cmd

Content Strategy:

  • Show more information upfront (less progressive disclosure)
  • Data tables with many columns
  • Richer visualizations
  • More detailed descriptions

Print Adaptation (Screen → Print)

Layout Strategy:

  • Page breaks at logical points
  • Remove navigation, footer, interactive elements
  • Black and white (or limited color)
  • Proper margins for binding

Content Strategy:

  • Expand shortened content (show full URLs, hidden sections)
  • Add page numbers, headers, footers
  • Include metadata (print date, page title)
  • Convert charts to print-friendly versions

Email Adaptation (Web → Email)

Layout Strategy:

  • Narrow width (600px max)
  • Single column only
  • Inline CSS (no external stylesheets)
  • Table-based layouts (for email client compatibility)

Interaction Strategy:

  • Large, obvious CTAs (buttons not text links)
  • No hover states (not reliable)
  • Deep links to web app for complex interactions

Implement Adaptations

Apply changes systematically:

Responsive Breakpoints

Choose appropriate breakpoints:

  • Mobile: 320px-767px
  • Tablet: 768px-1023px
  • Desktop: 1024px+
  • Or content-driven breakpoints (where design breaks)

Layout Adaptation Techniques

  • CSS Grid/Flexbox: Reflow layouts automatically
  • Container Queries: Adapt based on container, not viewport
  • clamp(): Fluid sizing between min and max
  • Media queries: Different styles for different contexts
  • Display properties: Show/hide elements per context

Touch Adaptation

  • Increase touch target sizes (44x44px minimum)
  • Add more spacing between interactive elements
  • Remove hover-dependent interactions
  • Add touch feedback (ripples, highlights)
  • Consider thumb zones (easier to reach bottom than top)

Content Adaptation

  • Use display: none sparingly (still downloads)
  • Progressive enhancement (core content first, enhancements on larger screens)
  • Lazy loading for off-screen content
  • Responsive images (srcset, picture element)

Navigation Adaptation

  • Transform complex nav to hamburger/drawer on mobile
  • Bottom nav bar for mobile apps
  • Persistent side navigation on desktop
  • Breadcrumbs on smaller screens for context

IMPORTANT: Test on real devices, not just browser DevTools. Device emulation is helpful but not perfect.

NEVER:

  • Hide core functionality on mobile (if it matters, make it work)
  • Assume desktop = powerful device (consider accessibility, older machines)
  • Use different information architecture across contexts (confusing)
  • Break user expectations for platform (mobile users expect mobile patterns)
  • Forget landscape orientation on mobile/tablet
  • Use generic breakpoints blindly (use content-driven breakpoints)
  • Ignore touch on desktop (many desktop devices have touch)

Verify Adaptations

Test thoroughly across contexts:

  • Real devices: Test on actual phones, tablets, desktops
  • Different orientations: Portrait and landscape
  • Different browsers: Safari, Chrome, Firefox, Edge
  • Different OS: iOS, Android, Windows, macOS
  • Different input methods: Touch, mouse, keyboard
  • Edge cases: Very small screens (320px), very large screens (4K)
  • Slow connections: Test on throttled network

Remember: You're a cross-platform design expert. Make experiences that feel native to each context while maintaining brand and functionality consistency. Adapt intentionally, test thoroughly.

Frequently asked questions

What does the Adapt AI skill do?

Adapt designs to work across different screen sizes, devices, contexts, or platforms. Implements breakpoints, fluid layouts, and touch targets. Use when the user mentions responsive design, mobile layouts, breakpoints, viewport adaptation, or cross-device compatibility.

Why use Adapt on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fengshao1227/ccg-workflow/tree/main/templates/skills/impeccable/adapt. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Adapt?

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 Adapt?

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

Is the Adapt AI skill free?

Yes. It is published on GitHub by fengshao1227 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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