別讓你的 AI 寫出 2018 年的 Kotlin:Compose-Kotlin-Agent-Skills 的革命性對齊 / Stop Your AI from Writing 2018-era Kotlin: The Revolutionary Alignment of Compose-Kotlin-Agent-Skills

將 AI 從『會寫程式碼』提升到『懂現代 Android 架構』的知識注入方案 / Elevating AI from 'writing code' to 'understanding modern Android architecture' via knowledge injection.

🔎 工具速覽 / AT A GLANCE

CategoryAI Agent Knowledge Base / LLM Alignment
PricingOpen Source (MIT)
BestForAndroid/KMP Developers using Cursor, Claude Code, or Gemini
GitHub Stars⭐ 23

🚀 引言 / Introduction

各位肝指數快爆表的 Android 工程師們,你們一定遇過這種情況:請 Cursor 或 Claude 幫你寫個 Compose 畫面,結果它給你的代碼竟然還在用三年前的過時語法,甚至把 State 搞得一團亂,最後你得花兩小時在那邊修 Bug,還得面對老闆問你『為什麼這個簡單的功能要這麼久?』。這就是典型的『AI 幻覺』與『知識滯後』。AI 雖然讀過整個 GitHub,但它並不真正『理解』現代 Android 的嚴格規範(如 K2 編譯器或 Compose 2026 的預期方向)。

Today, we're talking about a game-changer: `compose-kotlin-agent-skills`. This isn't just another prompt library; it's a systemic 'knowledge injection' framework. Instead of begging your AI to 'please use MVI' in every single chat, this project allows you to clone a set of strict, CI-validated skills directly into your agent's brain (be it Cursor, Claude Code, or Gemini). It effectively bridges the gap between a generic LLM and a Senior Android Architect who actually knows what they're doing.

🛠️ 核心功能 / Key Features

這套工具最猛的地方在於它不跟你玩『建議』,它給的是『標準』。首先,它支持超過 27 種 AI Agent,不管是你現在最愛的 Cursor 還是剛出的 Claude Code 都能無縫接軌。其次,它強推 Strict MVI (Model-View-Intent) 架構,讓 AI 生成的代碼不再是亂燉雜燴,而是有跡可循的狀態機。最重要的是,它針對 Kotlin 2.x K2 編譯器和 Compose 2026 的前瞻技術進行了對齊,意味著 AI 寫出來的東西直接就是『未來式』,你不用在下午茶時間還在對著螢幕崩潰。

The core strength lies in its 'Strictness'. It implements a rigorous MVI pattern, ensuring that AI-generated code follows a predictable state-flow rather than chaotic spaghetti logic. By supporting 27+ agents, it creates a universal 'Skill Layer' that transcends specific tools. Moreover, its alignment with the Kotlin 2.x K2 compiler and the 'Compose 2026' vision means your agent is no longer hallucinating deprecated APIs but is instead utilizing the most cutting-edge, CI-validated patterns.

💡 技術亮點 / Tech Highlights

從系統設計的角度來看,這是一個典型的『外部記憶體注入』方案。它透過 `AGENTS.md` 和 `SKILL.md` 定義了一套 Domain-Specific Language (DSL) 給 AI 讀取。這就像是給 AI 裝了一本『Android 開發聖經』,讓它在生成代碼前先查閱標準。對於我們這種常被要求『明天就要出 Demo』的工程師來說,這能大幅減少 Review 代碼時的血壓升高程度。再也不用對著 AI 說:『拜託,不要用這種寫法,請看最新的官方文檔!』因為它現在就拿著文檔在寫。

Architecturally, this project treats AI alignment as a configuration problem. By utilizing a structured skill-linting process and CI validation, it ensures that the 'knowledge' provided to the LLM is not just a collection of hints, but a verified set of constraints. For the weary developer, this translates to a massive reduction in 'cognitive load' during the PR review process. It transforms the AI from a junior intern who guesses everything into a specialized consultant who adheres to the project's architectural integrity.

📦 快速上手 / Quick Start

快速上手(快到你還沒拿完雞排就裝好了):

1. **Cursor 使用者**:

`git clone https://github.com/haidrrrry/compose-kotlin-agent-skills.git .cursor/skills/compose-kotlin-agent-skills`

2. **Claude Code 使用者**:

`git clone https://github.com/haidrrrry/compose-kotlin-agent-skills.git ~/.claude/skills/compose-kotlin-agent-skills`

3. **其他 Agent (Gemini/Copilot)**: 參考專案中的 `AGENTS.md` 將對應區塊加入你的設定檔即可。

Quick Start (Faster than your afternoon snack delivery):1. **For Cursor**: `git clone https://github.com/haidrrrry/compose-kotlin-agent-skills.git .cursor/skills/compose-kotlin-agent-skills`2. **For Claude Code**: `git clone https://github.com/haidrrrry/compose-kotlin-agent-skills.git ~/.claude/skills/compose-kotlin-agent-skills`3. **For Others (Gemini/Copilot)**: Refer to `AGENTS.md` and add the specified block to your agent configuration.

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