adapt

adapt is a skill for Claude Code from kazdenc/builder-skills. It costs 61 tokens per session (1,526 once invoked), scanned A, a copy of adapt, MIT.

A guide for adapting an existing design to different screen sizes, devices, platforms, or situations.

In plain words
What is it for?
Use it to create mobile, tablet, desktop, print, or other versions of a design.
Why use it?
It helps uncover layout and interaction problems that simple resizing cannot solve, such as tiny touch targets or desktop-only controls.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/kazdenc/builder-skills/adapt
Any agent
npx skills add kazdenc/builder-skills --skill adapt
Clone the repo
git clone --depth 1 https://github.com/kazdenc/builder-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for adapt

README.md
[![agentmods](https://agentmods.dev/badge/skills/kazdenc/builder-skills/adapt.svg)](https://agentmods.dev/skills/kazdenc/builder-skills/adapt)
Your own site
<a href="https://agentmods.dev/skills/kazdenc/builder-skills/adapt"><img src="https://agentmods.dev/badge/skills/kazdenc/builder-skills/adapt.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,526 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01526
Opus 5 $0.00030 $0.00763
Sonnet 5 $0.00012 $0.00305
Haiku 4.5 $0.00006 $0.00153

Measured 6d ago against content hash b20962110e84, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

adapt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

83% identical to adapt — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/design/hardening/adapt/SKILL.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

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

Read the full file on GitHub · 203 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 203 lines · 61 tokens per session scan A b20962110e84

Subscribe to this mod's changes

adapt is a skill published in the GitHub repository kazdenc/builder-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 61 tokens to every session and 1,526 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to adapt, differing in 21 lines, and is treated as a copy.

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