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AI Engineering

Mobile Adaptation

by kangarooking

Mobile Adaptation is an AI Engineering skill for Claude Code, published by kangarooking in system-prompt-skills.

182 stars40 forkson kangarooking/system-prompt-skillsAdded 2026/09/06+3% in starsRepository updated 2026/05/04
agent-designagent-skillsai-agentscangjie-skillcontext-managementprompt-engineeringprompt-injectionsystem-prompttool-use
Install in seconds
Install Mobile Adaptation
Copy Mobile Adaptation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/kangarooking/system-prompt-skills/tree/main/mobile-adaptation ~/.claude/skills/mobile-adaptation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/kangarooking/system-prompt-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
mobile-adaptation/SKILL.md in kangarooking/system-prompt-skills
Installs to
~/.claude/skills/mobile-adaptation
Collection
One of 15 skills cataloged from this repository
Category
AI Engineering3278 skills

What Mobile Adaptation does

Mobile Adaptation shapes system prompts for phone and tablet screens. It sets length limits, scan-friendly formatting, and answer-first structure, and it can account for mobile-native tools like calendar, reminders, and location.

Mobile Adaptation is cataloged under AI Engineering on DirSkills. Mobile Adaptation comes from a repository tagged agent-design, agent-skills, ai-agents, cangjie-skill and context-management.

Documentation

README

移动端适配

R — 原文 (Reading)

Claude Mobile iOS 基于屏幕尺寸设定响应层级:手机一次显示 6-8 句话,简单问题 1-2 句、操作指南短列表、实质问题 2-3 段、复杂问题不超过 2 屏。集成移动原生工具(日历、提醒、位置、图表)。Claude for Word 禁止管道分隔的 Markdown 表格(任务窗格太窄)。Gemini 实现移动端专项输出压缩。核心模式:屏幕尺寸响应分级、移动原生工具集成、格式限制、答案优先策略。

I — 方法论骨架 (Interpretation)

  1. 屏幕尺寸感知分级:根据目标设备屏幕容量将回答分为 4 个层级,每个层级有明确的长度上限(句数、段数或屏数)。
  2. 答案优先策略:移动端用户注意力碎片化,回答结构必须"结论先行、细节后置",禁止铺垫性开场白。
  3. 格式限制清单:在窄屏场景中禁用特定格式——管道表格、深层嵌套列表、宽代码块、大段引用。
  4. 移动原生工具集成:利用移动设备独有能力(日历、提醒事项、地理位置、本地时间、图表显示)增强交互。
  5. 扫描友好结构:使用短列表、加粗关键词、分段标题等格式,使用户在 3-5 秒内定位核心信息。

A1 — 案例分析 (Past Application)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Mobile Adaptation

  • What else does kangarooking publish alongside Mobile Adaptation?

    Mobile Adaptation is one of 15 skills that DirSkills catalogs from kangarooking/system-prompt-skills, the repository it ships in. Its siblings there include Agent Delegation, Citation System and Code Engineering. Each one is a separate skill with its own page in this directory, installs the same way Mobile Adaptation does, and is maintained by kangarooking in that same repository. The rest of the collection is listed on the kangarooking/system-prompt-skills page.

  • How does Mobile Adaptation compare to other AI Engineering skills?

    Mobile Adaptation ranks #3050 by stars among the 3278 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Mobile Adaptation against them. Open each page to compare what they document and how they install.

More from kangarooking/system-prompt-skills

Mobile Adaptation is one of 15 skills cataloged on DirSkills from kangarooking/system-prompt-skills.

See all 15 skills
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Agent Delegation

Agent Delegation describes how to split work across specialized sub-agents with isolated context, briefing-based handoffs, and validation gates. Use it when designing multi-agent systems, task lifecycles, or cross-tool coordination; not for single-agent routing.
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Citation System

Citation System defines inline citation formats and source-tracking rules for answers that need traceable evidence. Use it for document Q&A, RAG, code references, and other outputs where users must verify where information came from.
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18240
🛠️
5h ago

Code Engineering

Code Engineering defines system-prompt rules for coding agents that edit files, manage Git workflows, and verify changes. Use it for autonomous or guided code modification tasks, not for pure code Q&A or infrastructure setup.
AI Engineering
18240
🧠
5h ago

Context Management

Context Management helps design token budgets, compression strategies, lazy loading, and persistent memory for long-running AI assistants and multi-session systems. Use it when conversation history, large files, or user preferences need to stay usable without overflowing the context window.
AI Engineering
18240
🧭
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Conversation Flow

Conversation Flow defines how an AI classifies user intent, routes requests into task-specific paths, and chooses when to ask clarifying questions versus proceed autonomously. Use it for multi-step assistants and agents that need structured dialogue management.
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🛡️
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Injection Defense

Injection Defense helps design system prompts that resist prompt injection, jailbreaks, social engineering, and trust-boundary breaks. Use it for agents or chatbots that process external content like documents, web pages, email, or memory.
AI Engineering
18240