diff --git a/README.md b/README.md
index aae9990..8802c3c 100644
--- a/README.md
+++ b/README.md
@@ -1,165 +1,369 @@
 # PhoneClaw
 
-An on-device AI Agent for iPhone, powered by **Gemma 4** and **MLX** (Metal GPU). Fully offline — no network, no cloud, no privacy leaks.
+[English](./README_EN.md)
 
-## Features
+PhoneClaw 是一个运行在 iPhone 上的本地 AI Agent。  
+它使用 **Gemma 4 + MLX + Metal GPU** 在设备端完成推理，不依赖云端，不上传聊天内容，适合做一个真正离线、可调用原生能力的私人助手。
 
-- **Fully Offline** — runs entirely on-device via MLX Metal GPU inference
-- **Multimodal** — supports image input (vision language model)
-- **File-driven Skill System** — define capabilities in plain `SKILL.md` files, no code changes needed
-- **Multi-round Tool Chain** — agent can call multiple tools in sequence (up to 10 rounds)
-- **Memory-safe** — dynamic history depth, GPU cache management for 6 GB jetsam limit
-- **In-app Skill Editor** — view, edit, and hot-reload SKILL.md directly on device
+## 这是什么
 
-## Project Structure
+PhoneClaw 不是普通聊天壳，它是一个 `LLM + SKILL` 的本地 Agent：
 
-```
-PhoneClaw/
-├── App/PhoneClawApp.swift          ← Entry point
-├── Agent/AgentEngine.swift         ← Agent loop (tool detection, multi-round chain)
-├── LLM/
-│   ├── LLMEngine.swift             ← Protocol definition
-│   ├── MLXLocalLLMService.swift    ← MLX GPU inference (Gemma 4)
-│   ├── PromptBuilder.swift         ← Gemma 4 chat template + function calling
-│   └── MLX/                        ← Custom Gemma 4 VLM implementation (9 files)
-├── Skills/
-│   ├── Skills.swift                ← Data models
-│   ├── SkillLoader.swift           ← SKILL.md parser (YAML frontmatter + body)
-│   └── ToolRegistry.swift          ← Native iOS API tool registry
-├── UI/
-│   ├── ContentView.swift           ← Chat UI with skill progress cards
-│   ├── ChatModels.swift            ← UI data models
-│   ├── SkillsManagerView.swift     ← Skills management panel
-│   ├── ConfigurationsView.swift    ← Model parameter settings
-│   └── Theme.swift                 ← Design system
-├── Assets.xcassets/
-├── Info.plist
-└── PhoneClaw.entitlements          ← increased-memory-limit
-```
+- LLM 负责理解用户意图
+- `SKILL.md` 负责描述某项能力该怎么做
+- 原生工具负责真正执行设备内操作
 
-## Requirements
+当前已经打通的原生能力包括：
 
-- Xcode 16+
-- iOS 17.0+
-- iPhone with Apple Silicon (A17 Pro or later recommended for Gemma 4 E2B)
-- CocoaPods (`gem install cocoapods`)
+- 剪贴板读写
+- 设备信息读取
+- 文本处理
+- 日历事件创建
+- 提醒事项创建
+- 通讯录联系人创建/更新
 
-## Model
+## 项目特点
 
-PhoneClaw supports **Gemma 4 E2B** and **Gemma 4 E4B** (4-bit quantized, MLX format).  
-The app only shows models whose directory exists under `Models/` — **place only what you need**.
+- 完全离线运行，默认不联网
+- 支持图片输入
+- 基于文件的 Skill 系统，新增能力不需要重写整个 Agent
+- 支持多轮工具调用
+- 已内置权限管理、System Prompt 编辑、模型切换
+- 针对 iPhone 内存上限做了缓存清理和历史裁剪
 
-### Option A — E2B only (recommended, ~1.5 GB)
+## 运行要求
 
-```
-Models/
-└── gemma-4-e2b-it-4bit/
-```
+- macOS + Xcode 16 或更新版本
+- iOS 17.0 或更新版本
+- CocoaPods
+- 真机调试账号
 
-Download from Hugging Face:
-```
-mlx-community/gemma-4-2b-it-4bit
-```
+模型建议：
 
-### Option B — E4B only (~3 GB, requires iPhone 15 Pro or later)
+- `Gemma 4 E2B`：更稳，更适合默认分发
+- `Gemma 4 E4B`：效果更强，但更吃内存，建议高端机型使用
 
-```
-Models/
-└── gemma-4-e4b-it-4bit/
-```
+## 5 分钟快速开始
 
-Download from Hugging Face:
-```
-mlx-community/gemma-4-4b-it-4bit
-```
-
-### Option C — Both models (user can switch in Settings)
-
-```
-Models/
-├── gemma-4-e2b-it-4bit/
-└── gemma-4-e4b-it-4bit/
-```
-
-> The `Models/` directory is gitignored. Download model files separately and place them before building.
-
-## Getting Started
-
-### 1. Install dependencies
+### 1. 安装依赖
 
 ```bash
 pod install
 ```
 
-### 2. Open the workspace
+### 2. 下载模型
+
+先选择你要打包的模型。PhoneClaw 当前识别的目录名必须和下面保持一致。
+
+推荐先安装 Hugging Face CLI：
+
+```bash
+brew install hf
+```
+
+或者：
+
+```bash
+pip install -U "huggingface_hub"
+```
+
+只下载 `E2B`：
+
+```bash
+mkdir -p ./Models/gemma-4-e2b-it-4bit
+hf download mlx-community/gemma-4-e2b-it-4bit --local-dir ./Models/gemma-4-e2b-it-4bit
+```
+
+只下载 `E4B`：
+
+```bash
+mkdir -p ./Models/gemma-4-e4b-it-4bit
+hf download mlx-community/gemma-4-e4b-it-4bit --local-dir ./Models/gemma-4-e4b-it-4bit
+```
+
+两个都下载：
+
+```bash
+mkdir -p ./Models/gemma-4-e2b-it-4bit
+mkdir -p ./Models/gemma-4-e4b-it-4bit
+hf download mlx-community/gemma-4-e2b-it-4bit --local-dir ./Models/gemma-4-e2b-it-4bit
+hf download mlx-community/gemma-4-e4b-it-4bit --local-dir ./Models/gemma-4-e4b-it-4bit
+```
+
+下载后目录大致如下：
+
+```text
+Models/
+├── gemma-4-e2b-it-4bit/
+│   ├── config.json
+│   ├── tokenizer.json
+│   ├── processor_config.json
+│   ├── chat_template.jinja
+│   ├── model.safetensors
+│   └── model.safetensors.index.json
+└── gemma-4-e4b-it-4bit/
+```
+
+说明：
+
+- `Models/` 已在 `.gitignore` 中忽略，不会被提交到仓库
+- 当前 Hugging Face 模型页显示的仓库体积大约是：`E2B 3.58 GB`、`E4B 5.22 GB`
+- 如果你不想用 CLI，也可以直接从模型页面手动下载后放到对应目录
+
+### 3. 打开工程
 
 ```bash
 open PhoneClaw.xcworkspace
 ```
 
-> ⚠️ Always open `.xcworkspace`, not `.xcodeproj`
+不要打开 `.xcodeproj`，请始终打开 `.xcworkspace`。
 
-### 3. Sign and run
+### 4. 配置签名并运行
 
-1. In Xcode: select the **PhoneClaw** target → **Signing & Capabilities**
-2. Set your **Team** (Apple ID)
-3. Change **Bundle Identifier** to something unique (e.g. `com.yourname.phoneclaw`)
-4. Connect your iPhone via USB
-5. Press **⌘R**
+在 Xcode 中：
 
-First install requires trusting the certificate on iPhone:  
-**Settings → General → VPN & Device Management → Trust**
+1. 选择 `PhoneClaw` target
+2. 打开 `Signing & Capabilities`
+3. 选择你的 `Team`
+4. 把 `Bundle Identifier` 改成你自己的唯一值
+5. 连接 iPhone
+6. 按 `⌘R`
 
-## Built-in Skills
+首次安装后，如果系统要求信任开发者证书，请在手机里完成信任。
 
-| Skill | Tools |
-|-------|-------|
-| Clipboard | `clipboard-read`, `clipboard-write` |
-| Device | `device-info`, `device-name`, `device-model`, `device-system-version`, `device-memory`, `device-processor-count` |
-| Text | `calculate-hash`, `text-reverse` |
+### 5. 首次使用
 
-## Adding Custom Skills
+打开 App 后：
 
-Create a new directory under `ApplicationSupport/PhoneClaw/skills/<skill-name>/SKILL.md`:
+- 右上角拼图按钮：Skill 管理
+- 右上角滑杆按钮：模型设置 / 系统提示词 / 权限
+
+建议先在权限页开启：
+
+- 日历
+- 提醒事项
+- 通讯录
+
+然后直接试下面几句：
+
+- `这台手机的设备信息是什么`
+- `提醒我今晚八点发文件`
+- `帮我存一下王总的电话 13812345678`
+
+## 如何只打包一个模型
+
+这是最常见的发布方式，尤其是你只想发 `E2B` 时。
+
+### 方案 A：只打包 `E2B`
+
+保留：
+
+```text
+Models/gemma-4-e2b-it-4bit
+```
+
+移除：
+
+```text
+Models/gemma-4-e4b-it-4bit
+```
+
+然后做两步：
+
+1. 在 Xcode 的 Project Navigator 里删除不用的模型 folder reference，选择 `Remove Reference`
+2. 在 `PhoneClaw > Build Phases > Copy Bundle Resources` 里确认只剩你要打包的模型
+
+最后，修改 [LLM/MLXLocalLLMService.swift](./LLM/MLXLocalLLMService.swift) 里的 `availableModels`，只保留实际会随 App 分发的模型。  
+否则配置页仍然会显示不存在的模型选项。
+
+### 方案 B：同时打包 `E2B + E4B`
+
+保留两个目录和两个 Xcode 资源引用即可。  
+用户可在 App 的 `模型设置 / Model Settings` 页里切换。
+
+## 内置 Skill
+
+| Skill | 工具 |
+| --- | --- |
+| 剪贴板 | `clipboard-read`, `clipboard-write` |
+| 设备 | `device-info`, `device-name`, `device-model`, `device-system-version`, `device-memory`, `device-processor-count` |
+| 文本 | `calculate-hash`, `text-reverse` |
+| 日历 | `calendar-create-event` |
+| 提醒事项 | `reminders-create` |
+| 通讯录 | `contacts-upsert` |
+
+## 自定义 Skill
+
+新增一个 Skill 的最小成本方式，是在应用目录里增加一个 `SKILL.md`。
+
+示例结构：
+
+```text
+Application Support/PhoneClaw/skills/<skill-id>/SKILL.md
+```
+
+示例：
 
 ```yaml
 ---
 name: MySkill
-description: 'What this skill does'
+name-zh: 我的能力
+description: 这个 Skill 的作用
 version: "1.0.0"
 icon: star
 disabled: false
 
 triggers:
-  - keyword1
+  - 关键词1
 
 allowed-tools:
   - my-tool-name
 
 examples:
-  - query: "example user query"
-    scenario: "what happens"
+  - query: "用户会怎么说"
+    scenario: "什么场景会触发"
 ---
 
-# Skill Instructions
+# Skill 指令
 
-Tell the model what to do and how to call the tools.
+告诉模型何时调用工具、如何组织参数、何时直接回答。
 ```
 
-Then register the native implementation in `ToolRegistry.swift`.
+如果这个 Skill 需要真正调用系统能力，再去 [Skills/ToolRegistry.swift](./Skills/ToolRegistry.swift) 注册对应工具。
 
-## Architecture
+## 关键目录
 
+```text
+PhoneClaw/
+├── App/                         # App 入口
+├── Agent/                       # Agent 循环与多轮工具调用
+├── LLM/                         # MLX 本地推理与 Prompt 构建
+├── Skills/                      # Skill 解析、工具注册、数据模型
+├── UI/                          # 聊天界面、Skill 管理、配置页面
+├── Models/                      # 本地模型目录（默认不入库）
+├── PhoneClaw.xcworkspace
+└── README.md
 ```
-User Input
-  → PromptBuilder (Gemma 4 chat template)
-  → MLX GPU inference (streaming)
-  → Detect <tool_call>
-      ├── load_skill → inject SKILL.md body → re-infer
-      └── tool execution → ToolRegistry → iOS API → re-infer
-  → Final text response
+
+## 实际执行链路
+
+```text
+用户输入
+→ PromptBuilder 组装提示词
+→ Gemma 4 本地推理
+→ 需要能力时调用 load_skill
+→ 读取对应 SKILL.md
+→ 执行原生工具
+→ 返回最终中文结果
 ```
 
+## 常见问题
+
+### 为什么安装后看不到权限弹窗？
+
+通常是因为对应 Skill 还没有真正执行到系统 API。  
+如果之前已经拒绝过一次，iOS 也不会反复弹框，需要到系统设置里手动开启。
+
+### 为什么切模型后加载失败？
+
+先确认：
+
+- 模型目录名和代码里的 `availableModels` 一致
+- 该模型确实被打进了 App 包
+- 设备内存足够
+
+### 为什么提醒事项创建失败？
+
+最新代码会先尝试复用现有提醒列表；如果系统里没有可写列表，会再尝试自动创建一个 `PhoneClaw` 提醒列表。  
+如果这一步仍失败，通常是系统提醒源本身不可写。
+
+## 后续计划
+
+PhoneClaw 接下来的方向，不只是“多加几个工具”，而是把它逐步做成一个真正可用的本地 iPhone Agent。
+
+### 1. 扩展更多 iOS 原生 API
+
+计划继续补充更多系统能力，例如：
+
+- 文件与目录操作
+- 照片读取、整理、描述、检索
+- 备忘录 / Notes
+- 本地通知
+- 地图 / 位置相关能力
+- Safari / URL 打开与上下文传递
+- 更多通讯录、日历、提醒事项的读写能力
+
+### 2. 扩展更多 Skill
+
+后续会继续把能力拆成更清晰的 Skill，而不是把所有逻辑都堆在一个大 Prompt 里。
+
+适合继续追加的 Skill 方向：
+
+- 文件管理
+- 照片理解与整理
+- 日程规划
+- 个人信息管理
+- 本地知识库检索
+- 语音输入 / 语音播报
+
+### 3. 串联更多本地模型
+
+除了主聊天模型之外，后续适合接入的本地模型还包括：
+
+- OCR 模型
+- 语音识别模型
+- 语音合成模型
+- Embedding / Reranker 模型
+- 更小的工具参数提取模型
+- 更强的规划模型或多模型协作链路
+
+这会让 PhoneClaw 从“一个大模型做所有事”，逐渐演进成“多个本地模型协同工作”的架构。
+
+### 4. 跨 App 自动化
+
+这是很重要的方向，但会严格遵守 iOS 的安全边界。  
+PhoneClaw 不会假设自己能像桌面系统那样任意操控所有 App，而是优先走 iOS 真正允许的能力：
+
+- `App Intents`
+- `Shortcuts`
+- `URL Scheme / Deep Link`
+- `Share Sheet / 分享扩展`
+- 剪贴板中转
+- 系统通知与唤起
+
+更现实的目标是：
+
+- 在 App 之间传递内容
+- 拉起指定 App 到指定页面
+- 把本地理解能力和快捷指令工作流串起来
+- 把多步操作压缩成一条自然语言命令
+
+### 5. 外部硬件与视觉扩展
+
+除了手机内部能力之外，PhoneClaw 后续也会探索和外部硬件配合的形态。  
+例如把外部视频输入、屏幕画面理解和本地模型串起来，让 PhoneClaw 不只是“在手机里回答问题”，而是逐步具备更强的现实世界感知与调度能力。
+
+这部分暂时不展开太多，后面会留一些更有意思的玩法。
+
+### 6. 我建议优先做的方向
+
+如果按“最容易尽快做出体验差异”的顺序，我会建议优先做：
+
+1. 文件 / 照片 / 备忘录 三类高频 API
+2. Shortcuts / App Intents 集成
+3. OCR + 语音识别
+4. 本地知识库检索
+5. 更细的自动化 Skill 编排
+
+这样很快就能把 PhoneClaw 从“会聊天的本地模型”推进到“能真正帮用户做事的本地助手”。
+
+## 参考链接
+
+- Hugging Face CLI 文档: <https://huggingface.co/docs/huggingface_hub/guides/cli>
+- Hugging Face 下载文档: <https://huggingface.co/docs/huggingface_hub/en/guides/download>
+- Gemma 4 E2B MLX 模型: <https://huggingface.co/mlx-community/gemma-4-e2b-it-4bit>
+- Gemma 4 E4B MLX 模型: <https://huggingface.co/mlx-community/gemma-4-e4b-it-4bit>
+
 ## License
 
 MIT
diff --git a/README_EN.md b/README_EN.md
new file mode 100644
index 0000000..cd399ba
--- /dev/null
+++ b/README_EN.md
@@ -0,0 +1,324 @@
+# PhoneClaw
+
+[简体中文](./README.md)
+
+PhoneClaw is a local AI agent that runs directly on iPhone.  
+It uses **Gemma 4 + MLX + Metal GPU** for on-device inference, so chats and tool calls stay on the device by default.
+
+## What It Is
+
+PhoneClaw is an `LLM + SKILL` style local agent:
+
+- the LLM decides what the user wants
+- `SKILL.md` files describe how a capability should behave
+- native tools execute the actual device-side action
+
+Built-in native capabilities currently include:
+
+- clipboard read/write
+- device info
+- text utilities
+- calendar event creation
+- reminders creation
+- contacts create/update
+
+## Highlights
+
+- fully offline by default
+- image input supported
+- file-driven skill system
+- multi-step tool calling
+- built-in permissions page, system prompt editor, and model switcher
+- memory-aware MLX runtime management for iPhone limits
+
+## Requirements
+
+- macOS + Xcode 16 or newer
+- iOS 17.0 or newer
+- CocoaPods
+- an Apple developer signing identity for real-device testing
+
+Model guidance:
+
+- `Gemma 4 E2B`: better default choice for distribution
+- `Gemma 4 E4B`: stronger but heavier, better for high-end devices
+
+## Quick Start
+
+### 1. Install dependencies
+
+```bash
+pod install
+```
+
+### 2. Download a model
+
+PhoneClaw expects these exact folder names under `Models/`.
+
+Install the Hugging Face CLI first:
+
+```bash
+brew install hf
+```
+
+or:
+
+```bash
+pip install -U "huggingface_hub"
+```
+
+Download only `E2B`:
+
+```bash
+mkdir -p ./Models/gemma-4-e2b-it-4bit
+hf download mlx-community/gemma-4-e2b-it-4bit --local-dir ./Models/gemma-4-e2b-it-4bit
+```
+
+Download only `E4B`:
+
+```bash
+mkdir -p ./Models/gemma-4-e4b-it-4bit
+hf download mlx-community/gemma-4-e4b-it-4bit --local-dir ./Models/gemma-4-e4b-it-4bit
+```
+
+Download both:
+
+```bash
+mkdir -p ./Models/gemma-4-e2b-it-4bit
+mkdir -p ./Models/gemma-4-e4b-it-4bit
+hf download mlx-community/gemma-4-e2b-it-4bit --local-dir ./Models/gemma-4-e2b-it-4bit
+hf download mlx-community/gemma-4-e4b-it-4bit --local-dir ./Models/gemma-4-e4b-it-4bit
+```
+
+Notes:
+
+- `Models/` is already ignored by Git
+- the current Hugging Face repo sizes are roughly `3.58 GB` for `E2B` and `5.22 GB` for `E4B`
+- you can also download files manually from the model pages if you prefer
+
+### 3. Open the workspace
+
+```bash
+open PhoneClaw.xcworkspace
+```
+
+Always open the workspace, not the project file.
+
+### 4. Configure signing and run
+
+In Xcode:
+
+1. select the `PhoneClaw` target
+2. open `Signing & Capabilities`
+3. choose your `Team`
+4. set a unique `Bundle Identifier`
+5. connect your iPhone
+6. press `⌘R`
+
+### 5. First launch
+
+Inside the app:
+
+- top-right puzzle icon: Skill manager
+- top-right sliders icon: model settings / system prompt / permissions
+
+It is recommended to enable these permissions first:
+
+- Calendar
+- Reminders
+- Contacts
+
+Then try:
+
+- `What is this phone's device information?`
+- `Remind me to send the file tonight at 8 PM`
+- `Save Wang Zong's number 13812345678`
+
+## How to Ship Only One Model
+
+This is the most practical setup for distribution.
+
+### Option A: Ship only `E2B`
+
+Keep:
+
+```text
+Models/gemma-4-e2b-it-4bit
+```
+
+Remove:
+
+```text
+Models/gemma-4-e4b-it-4bit
+```
+
+Then do both of the following:
+
+1. remove the unused model folder reference in Xcode with `Remove Reference`
+2. verify `PhoneClaw > Build Phases > Copy Bundle Resources` only includes the model you want to ship
+
+Finally, update [LLM/MLXLocalLLMService.swift](./LLM/MLXLocalLLMService.swift) so `availableModels` only contains the model(s) you actually distribute.  
+Otherwise the configuration page will still show unavailable options.
+
+### Option B: Ship both `E2B + E4B`
+
+Keep both model folders and both Xcode resource references.  
+Users can switch models from the in-app configuration page.
+
+## Built-in Skills
+
+| Skill | Tools |
+| --- | --- |
+| Clipboard | `clipboard-read`, `clipboard-write` |
+| Device | `device-info`, `device-name`, `device-model`, `device-system-version`, `device-memory`, `device-processor-count` |
+| Text | `calculate-hash`, `text-reverse` |
+| Calendar | `calendar-create-event` |
+| Reminders | `reminders-create` |
+| Contacts | `contacts-upsert` |
+
+## Custom Skills
+
+The smallest way to add a new capability is to add a new `SKILL.md`:
+
+```text
+Application Support/PhoneClaw/skills/<skill-id>/SKILL.md
+```
+
+Example:
+
+```yaml
+---
+name: MySkill
+name-zh: 我的能力
+description: What this skill does
+version: "1.0.0"
+icon: star
+disabled: false
+
+triggers:
+  - keyword
+
+allowed-tools:
+  - my-tool-name
+
+examples:
+  - query: "How a user might ask for it"
+    scenario: "When it should trigger"
+---
+
+# Skill instructions
+
+Tell the model when to call tools, how to build arguments, and when to answer directly.
+```
+
+If the skill needs real native execution, register the tool in [Skills/ToolRegistry.swift](./Skills/ToolRegistry.swift).
+
+## Key Directories
+
+```text
+PhoneClaw/
+├── App/
+├── Agent/
+├── LLM/
+├── Skills/
+├── UI/
+├── Models/
+├── PhoneClaw.xcworkspace
+└── README.md
+```
+
+## Runtime Flow
+
+```text
+User input
+→ PromptBuilder
+→ local Gemma 4 inference
+→ load_skill when needed
+→ read SKILL.md
+→ execute native tool
+→ produce final answer
+```
+
+## Useful Links
+
+- Hugging Face CLI docs: <https://huggingface.co/docs/huggingface_hub/guides/cli>
+- Hugging Face download guide: <https://huggingface.co/docs/huggingface_hub/en/guides/download>
+- Gemma 4 E2B MLX model: <https://huggingface.co/mlx-community/gemma-4-e2b-it-4bit>
+- Gemma 4 E4B MLX model: <https://huggingface.co/mlx-community/gemma-4-e4b-it-4bit>
+
+## Roadmap
+
+PhoneClaw is meant to grow into a genuinely useful on-device iPhone agent, not just a chat UI with a couple of tools.
+
+### 1. More iOS native APIs
+
+Planned areas include:
+
+- files and folders
+- photo reading, organization, and understanding
+- Notes integration
+- local notifications
+- maps and location-related tasks
+- Safari / URL handoff
+- broader calendar, reminders, and contacts workflows
+
+### 2. More Skills
+
+The long-term direction is to keep capabilities modular through Skills instead of pushing everything into one giant prompt.
+
+Likely next skills:
+
+- file management
+- photo understanding and organization
+- schedule planning
+- personal information management
+- local knowledge retrieval
+- voice input / voice output
+
+### 3. More local models working together
+
+Beyond the main chat model, good future additions include:
+
+- OCR models
+- speech recognition models
+- text-to-speech models
+- embedding / reranker models
+- smaller argument-extraction models
+- stronger planners or multi-model orchestration
+
+That would move PhoneClaw from “one model does everything” toward a more practical local multi-model agent stack.
+
+### 4. Cross-app automation
+
+This is a key direction, but it needs to stay realistic within iOS security limits.  
+The project is not assuming unrestricted UI control over every app. Instead, the practical path is:
+
+- `App Intents`
+- `Shortcuts`
+- `URL Schemes / Deep Links`
+- `Share Sheet / Share Extensions`
+- clipboard handoff
+- notification-driven flows
+
+The goal is to make cross-app workflows feel natural while staying inside what iOS actually allows.
+
+### 5. External hardware and visual expansion
+
+Beyond the phone itself, PhoneClaw is also intended to explore workflows that involve external hardware.  
+That may include combining external video input, on-device visual understanding, and local models so PhoneClaw can gradually move from “answering inside the phone” toward richer real-world perception and orchestration.
+
+This part is intentionally kept a little vague for now.
+
+### 6. Suggested priorities
+
+If the goal is to improve real user value quickly, the strongest order is:
+
+1. files / photos / notes
+2. Shortcuts / App Intents integration
+3. OCR + speech recognition
+4. local knowledge retrieval
+5. richer automation-oriented skill composition
+
+## License
+
+MIT