jilinchenandClaude Opus 4.5
013cc823b6
- Show actual outline.yaml, JSON output, and report - Keep examples concise and elegant 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
92 lines
2.4 KiB
Markdown
92 lines
2.4 KiB
Markdown
# 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 & 示例
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> 示例：调研 "AI Agent Demo 2025"
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### 阶段1：生成Outline
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```
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run /research AI Agent Demo 2025
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```
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**输出：** `ai-agent-demo/outline.yaml`
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```yaml
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topic: "AI Agent Demo & 测评 (2025.9-2025.12)"
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items:
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- name: "ChatGPT Agent"
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category: "浏览器Agent"
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brief: "OpenAI统一Agent，2025年7月发布"
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- name: "Claude Computer Use"
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category: "桌面Agent"
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brief: "Anthropic桌面操控Agent"
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# ... 另外15个items
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```
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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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**输出：** `ai-agent-demo/results/ChatGPT_Agent.json`
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```json
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{
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"basic_info": {
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"name": "ChatGPT Agent",
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"company": "OpenAI",
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"release_date": "2025-07-17",
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"pricing": "Pro $200/月, Plus $20/月"
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},
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"tech_specs": {
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"underlying_model": "GPT-5系列",
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"agent_type": "统一型自主Agent"
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}
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}
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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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**输出：** `ai-agent-demo/report.md` - 带目录和所有item的Markdown报告
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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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