docs: split README into separate EN/ZH files

- README.md for English (default)
- README.zh.md for Chinese
- Add language switch links at top

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

README.md

@@ -1,44 +1,43 @@
 # Deep Research Skill for Claude Code
 
-[English](#english) | [中文](#中文)
+[English](README.md) | [中文](README.zh.md)
-
----
-
-## English
 
 > Inspired by [RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context](https://arxiv.org/abs/2511.18743)
 
 A structured research workflow skill for Claude Code, supporting two-phase research: outline generation (extensible) and deep investigation. Human-in-the-loop design ensures precise control at every stage.
 
-### Use Cases
+## Use Cases
 
 - **Academic Research**: Paper surveys, benchmark reviews, literature analysis
 - **Technical Research**: Technology comparison, framework evaluation, tool selection
 - **Market Research**: Competitor analysis, industry trends, product comparison
 - **Due Diligence**: Company research, investment analysis, risk assessment
 
-
+## Installation
-### Installation
-
-Choose your language version:
 
 ```bash
 # English version
 cp -r skills/research-en ~/.claude/skills/research
 
-# Chinese version
-cp -r skills/research-zh ~/.claude/commands/research
-
 # Required: Install agent
 cp agents/web-search-agent.md ~/.claude/agents/
 ```
-### Commands
+
+## Commands
 
 > **Note**: Use `run /research` instead of `/research` directly, as slash commands conflict with built-in commands.
 
-### Workflow
+| Command | Description |
+|---------|-------------|
+| `run /research` | Generate research outline with items and fields |
+| `run /research/add-items` | Add more items to existing outline |
+| `run /research/add-fields` | Add more fields to existing outline |
+| `run /research/deep` | Deep research each item with parallel agents |
+| `run /research/report` | Generate markdown report from JSON results |
 
-#### Phase 1: Generate Outline
+## Workflow
+
+### Phase 1: Generate Outline
 ```
 run /research <topic>
 ```
@@ -47,7 +46,7 @@ run /research <topic>
 - User confirms and adjusts
 - Outputs: `outline.yaml` (items + config) + `fields.yaml` (field definitions)
 
-#### Phase 2: Deep Research
+### Phase 2: Deep Research
 ```
 run /research/deep
 ```
@@ -56,13 +55,13 @@ run /research/deep
 - Supports checkpoint resume
 - Outputs: `results/*.json`
 
-#### Optional: Expand Outline
+### Optional: Expand Outline
 ```
 run /research/add-items    # Add research targets via user input or web search
 run /research/add-fields   # Add field definitions
 ```
 
-#### Phase 3: Generate Report
+### Phase 3: Generate Report
 ```
 run /research/report
 ```
@@ -71,82 +70,10 @@ run /research/report
 - Skips uncertain values automatically
 - Outputs: `report.md`
 
----
+## References
-
-## 中文
-
-> 灵感来源：[RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context](https://arxiv.org/abs/2511.18743)
-
-Claude Code 的结构化调研工作流技能，支持两阶段调研：outline生成（可扩展）和深度调查。人在回路设计确保每个阶段的精确控制。
-
-### 使用场景
-
-- **学术研究**：论文综述、benchmark评测、文献分析
-- **技术研究**：技术对比、框架评估、工具选型
-- **市场研究**：竞品分析、行业趋势、产品比较
-- **尽职调查**：公司研究、投资分析、风险评估
-
-
-
-### 安装
-
-选择语言版本：
-
-```bash
-# 英文版
-cp -r skills/research-en ~/.claude/skills/research
-
-# 中文版
-cp -r skills/research-zh ~/.claude/skills/research
-
-# 必需：安装agent
-cp agents/web-search-agent.md ~/.claude/agents/
-```
-### 命令
-
-> **注意**：使用 `run /research` 而非直接 `/research`，因为斜杠命令与内置命令冲突。
-
-### 工作流
-
-#### 阶段1：生成Outline
-```
-run /research <topic>
-```
-- 模型知识生成初始items和字段框架
-- 网络搜索补充最新items
-- 用户确认并调整
-- 输出：`outline.yaml`（items + 配置）+ `fields.yaml`（字段定义）
-
-#### 阶段2：深度调研
-```
-run /research/deep
-```
-- 并行agents调研每个item（batch_size可配置）
-- 每个agent读取fields.yaml并输出结构化JSON
-- 支持断点续传
-- 输出：`results/*.json`
-
-#### 可选：扩展Outline
-```
-run /research/add-items    # 通过用户输入或网络搜索添加调研对象
-run /research/add-fields   # 添加字段定义
-```
-
-#### 阶段3：生成报告
-```
-run /research/report
-```
-- 生成Python脚本将JSON转换为markdown
-- 用户选择目录中显示的摘要字段
-- 自动跳过不确定值
-- 输出：`report.md`
-
----
-
-## References / 参考文献
 
 - RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
 
-## License / 许可证
+## License
 
 MIT

README.zh.md

@@ -0,0 +1,79 @@
+# Deep Research Skill for Claude Code
+
+[English](README.md) | [中文](README.zh.md)
+
+> 灵感来源：[RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context](https://arxiv.org/abs/2511.18743)
+
+Claude Code 的结构化调研工作流技能，支持两阶段调研：outline生成（可扩展）和深度调查。人在回路设计确保每个阶段的精确控制。
+
+## 使用场景
+
+- **学术研究**：论文综述、benchmark评测、文献分析
+- **技术研究**：技术对比、框架评估、工具选型
+- **市场研究**：竞品分析、行业趋势、产品比较
+- **尽职调查**：公司研究、投资分析、风险评估
+
+## 安装
+
+```bash
+# 中文版
+cp -r skills/research-zh ~/.claude/skills/research
+
+# 必需：安装agent
+cp agents/web-search-agent.md ~/.claude/agents/
+```
+
+## 命令
+
+> **注意**：使用 `run /research` 而非直接 `/research`，因为斜杠命令与内置命令冲突。
+
+| 命令 | 描述 |
+|------|------|
+| `run /research` | 生成包含items和fields的调研outline |
+| `run /research/add-items` | 向现有outline添加更多items |
+| `run /research/add-fields` | 向现有outline添加更多fields |
+| `run /research/deep` | 使用并行agents对每个item进行深度调研 |
+| `run /research/report` | 从JSON结果生成markdown报告 |
+
+## 工作流
+
+### 阶段1：生成Outline
+```
+run /research <topic>
+```
+- 模型知识生成初始items和字段框架
+- 网络搜索补充最新items
+- 用户确认并调整
+- 输出：`outline.yaml`（items + 配置）+ `fields.yaml`（字段定义）
+
+### 阶段2：深度调研
+```
+run /research/deep
+```
+- 并行agents调研每个item（batch_size可配置）
+- 每个agent读取fields.yaml并输出结构化JSON
+- 支持断点续传
+- 输出：`results/*.json`
+
+### 可选：扩展Outline
+```
+run /research/add-items    # 通过用户输入或网络搜索添加调研对象
+run /research/add-fields   # 添加字段定义
+```
+
+### 阶段3：生成报告
+```
+run /research/report
+```
+- 生成Python脚本将JSON转换为markdown
+- 用户选择目录中显示的摘要字段
+- 自动跳过不确定值
+- 输出：`report.md`
+
+## 参考文献
+
+- RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
+
+## 许可证
+
+MIT