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>
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Claude Opus 4.5
Claude Opus 4.5
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# Deep Research Skill for Claude Code
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[English](#english) | [中文](#中文)
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---
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## English
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[English](README.md) | [中文](README.zh.md)
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> Inspired by [RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context](https://arxiv.org/abs/2511.18743)
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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.
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### Use Cases
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## Use Cases
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- **Academic Research**: Paper surveys, benchmark reviews, literature analysis
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- **Technical Research**: Technology comparison, framework evaluation, tool selection
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- **Market Research**: Competitor analysis, industry trends, product comparison
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- **Due Diligence**: Company research, investment analysis, risk assessment
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### Installation
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Choose your language version:
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## Installation
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```bash
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# English version
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cp -r skills/research-en ~/.claude/skills/research
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# Chinese version
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cp -r skills/research-zh ~/.claude/commands/research
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# Required: Install agent
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cp agents/web-search-agent.md ~/.claude/agents/
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```
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### Commands
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## Commands
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> **Note**: Use `run /research` instead of `/research` directly, as slash commands conflict with built-in commands.
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### Workflow
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| Command | Description |
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|---------|-------------|
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| `run /research` | Generate research outline with items and fields |
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| `run /research/add-items` | Add more items to existing outline |
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| `run /research/add-fields` | Add more fields to existing outline |
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| `run /research/deep` | Deep research each item with parallel agents |
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| `run /research/report` | Generate markdown report from JSON results |
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#### Phase 1: Generate Outline
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## Workflow
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### Phase 1: Generate Outline
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```
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run /research <topic>
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```
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@@ -47,7 +46,7 @@ run /research <topic>
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- User confirms and adjusts
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- Outputs: `outline.yaml` (items + config) + `fields.yaml` (field definitions)
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#### Phase 2: Deep Research
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### Phase 2: Deep Research
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```
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run /research/deep
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```
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@@ -56,13 +55,13 @@ run /research/deep
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- Supports checkpoint resume
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- Outputs: `results/*.json`
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#### Optional: Expand Outline
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### Optional: Expand Outline
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```
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run /research/add-items # Add research targets via user input or web search
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run /research/add-fields # Add field definitions
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```
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#### Phase 3: Generate Report
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### Phase 3: Generate Report
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```
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run /research/report
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```
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@@ -71,82 +70,10 @@ run /research/report
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- Skips uncertain values automatically
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- Outputs: `report.md`
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---
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## 中文
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> 灵感来源：[RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context](https://arxiv.org/abs/2511.18743)
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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。
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### 使用场景
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- **学术研究**：论文综述、benchmark评测、文献分析
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- **技术研究**：技术对比、框架评估、工具选型
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- **市场研究**：竞品分析、行业趋势、产品比较
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- **尽职调查**：公司研究、投资分析、风险评估
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### 安装
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选择语言版本：
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```bash
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# 英文版
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cp -r skills/research-en ~/.claude/skills/research
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# 中文版
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cp -r skills/research-zh ~/.claude/skills/research
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# 必需：安装agent
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cp agents/web-search-agent.md ~/.claude/agents/
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```
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### 命令
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> **注意**：使用 `run /research` 而非直接 `/research`，因为斜杠命令与内置命令冲突。
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### 工作流
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#### 阶段1：生成Outline
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```
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run /research <topic>
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```
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- 模型知识生成初始items和字段框架
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- 网络搜索补充最新items
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- 用户确认并调整
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- 输出：`outline.yaml`（items + 配置）+ `fields.yaml`（字段定义）
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#### 阶段2：深度调研
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```
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run /research/deep
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```
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- 并行agents调研每个item（batch_size可配置）
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- 每个agent读取fields.yaml并输出结构化JSON
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- 支持断点续传
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- 输出：`results/*.json`
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#### 可选：扩展Outline
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```
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run /research/add-items # 通过用户输入或网络搜索添加调研对象
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run /research/add-fields # 添加字段定义
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```
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#### 阶段3：生成报告
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```
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run /research/report
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```
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- 生成Python脚本将JSON转换为markdown
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- 用户选择目录中显示的摘要字段
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- 自动跳过不确定值
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- 输出：`report.md`
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---
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## References / 参考文献
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## References
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- RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
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## License / 许可证
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## License
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MIT
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@@ -0,0 +1,79 @@
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# Deep Research Skill for Claude Code
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[English](README.md) | [中文](README.zh.md)
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> 灵感来源：[RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context](https://arxiv.org/abs/2511.18743)
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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。
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## 使用场景
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- **学术研究**：论文综述、benchmark评测、文献分析
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- **技术研究**：技术对比、框架评估、工具选型
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- **市场研究**：竞品分析、行业趋势、产品比较
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- **尽职调查**：公司研究、投资分析、风险评估
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## 安装
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```bash
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# 中文版
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cp -r skills/research-zh ~/.claude/skills/research
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# 必需：安装agent
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cp agents/web-search-agent.md ~/.claude/agents/
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```
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## 命令
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> **注意**：使用 `run /research` 而非直接 `/research`，因为斜杠命令与内置命令冲突。
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| 命令 | 描述 |
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|------|------|
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| `run /research` | 生成包含items和fields的调研outline |
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| `run /research/add-items` | 向现有outline添加更多items |
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| `run /research/add-fields` | 向现有outline添加更多fields |
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| `run /research/deep` | 使用并行agents对每个item进行深度调研 |
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| `run /research/report` | 从JSON结果生成markdown报告 |
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## 工作流
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### 阶段1：生成Outline
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```
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run /research <topic>
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```
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- 模型知识生成初始items和字段框架
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- 网络搜索补充最新items
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- 用户确认并调整
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- 输出：`outline.yaml`（items + 配置）+ `fields.yaml`（字段定义）
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### 阶段2：深度调研
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```
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run /research/deep
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```
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- 并行agents调研每个item（batch_size可配置）
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- 每个agent读取fields.yaml并输出结构化JSON
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- 支持断点续传
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- 输出：`results/*.json`
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### 可选：扩展Outline
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```
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run /research/add-items # 通过用户输入或网络搜索添加调研对象
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run /research/add-fields # 添加字段定义
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```
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### 阶段3：生成报告
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```
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run /research/report
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```
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- 生成Python脚本将JSON转换为markdown
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- 用户选择目录中显示的摘要字段
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- 自动跳过不确定值
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- 输出：`report.md`
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## 参考文献
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- RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
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## 许可证
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MIT
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