refactor: flatten skills directory structure
- Restructure skills/research-zh and skills/research-en to flat layout - Each skill now in its own directory (research, research-deep, etc.) - Update installation: cp -r skills/research-zh/* ~/.claude/skills/ - Update command references from /research:deep to /research-deep Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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jilinchen
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Claude Opus 4.5
Claude Opus 4.5
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bb7b8453e2
@@ -17,10 +17,10 @@ A structured research workflow skill for Claude Code, supporting two-phase resea
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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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cp -r skills/research-en/* ~/.claude/skills/
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# Chinese version
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cp -r skills/research-zh ~/.claude/skills/research
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cp -r skills/research-zh/* ~/.claude/skills/
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# Required: Install agent
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cp agents/web-search-agent.md ~/.claude/agents/
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@@ -31,17 +31,17 @@ pip install pyyaml
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## Commands
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> **Claude Code 2.1.0+**: Direct `/research` trigger is now supported!
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> **Claude Code 2.1.0+**: Direct `/skill-name` trigger is now supported!
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>
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> **Older versions**: Use `run /research` format instead.
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> **Older versions**: Use `run /skill-name` format instead.
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| Command (2.1.0+) | Command (older) | Description |
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|------------------|-----------------|-------------|
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| `/research` | `run /research` | Generate research outline with items and fields |
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| `/research:add-items` | `run /research/add-items` | Add more items to existing outline |
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| `/research:add-fields` | `run /research/add-fields` | Add more fields to existing outline |
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| `/research:deep` | `run /research/deep` | Deep research each item with parallel agents |
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| `/research:report` | `run /research/report` | Generate markdown report from JSON results |
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| Command (2.1.0+) | Description |
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|------------------|-------------|
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| `/research` | Generate research outline with items and fields |
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| `/research-add-items` | Add more items to existing outline |
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| `/research-add-fields` | Add more fields to existing outline |
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| `/research-deep` | Deep research each item with parallel agents |
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| `/research-report` | Generate markdown report from JSON results |
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## Workflow & Example
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@@ -51,25 +51,22 @@ pip install pyyaml
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```
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/research AI Agent Demo 2025
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```
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> *Older versions: `run /research AI Agent Demo 2025`*
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💡 **What happens**: Tell it your topic → It creates a research list for you
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**You get**: A list of 17 AI Agents to research (ChatGPT Agent, Claude Computer Use, Cursor, etc.) + what info to collect for each
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### Phase 2: Deep Research
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```
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/research:deep
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/research-deep
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```
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> *Older versions: `run /research/deep`*
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💡 **What happens**: AI automatically searches the web for each item, one by one
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**You get**: Detailed info for each Agent (company, release date, pricing, tech specs, reviews...)
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### Phase 3: Generate Report
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```
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/research:report
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/research-report
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```
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> *Older versions: `run /research/report`*
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💡 **What happens**: All data → One organized report
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**You get**: `report.md` - A complete markdown report with table of contents, ready to read or share
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+13
-16
@@ -17,10 +17,10 @@ Claude Code 的结构化调研工作流技能，支持两阶段调研：outline
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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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cp -r skills/research-zh/* ~/.claude/skills/
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# 英文版
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cp -r skills/research-en ~/.claude/skills/research
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cp -r skills/research-en/* ~/.claude/skills/
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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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@@ -31,17 +31,17 @@ pip install pyyaml
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## 命令
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> **Claude Code 2.1.0+**：现已支持直接 `/research` 触发！
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> **Claude Code 2.1.0+**：现已支持直接 `/skill-name` 触发！
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>
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> **旧版本**：请使用 `run /research` 格式。
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> **旧版本**：请使用 `run /skill-name` 格式。
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| 命令 (2.1.0+) | 命令 (旧版本) | 描述 |
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|---------------|---------------|------|
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| `/research` | `run /research` | 生成包含items和fields的调研outline |
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| `/research:add-items` | `run /research/add-items` | 向现有outline添加更多items |
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| `/research:add-fields` | `run /research/add-fields` | 向现有outline添加更多fields |
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| `/research:deep` | `run /research/deep` | 使用并行agents对每个item进行深度调研 |
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| `/research:report` | `run /research/report` | 从JSON结果生成markdown报告 |
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| 命令 (2.1.0+) | 描述 |
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|---------------|------|
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| `/research` | 生成包含items和fields的调研outline |
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| `/research-add-items` | 向现有outline添加更多items |
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| `/research-add-fields` | 向现有outline添加更多fields |
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| `/research-deep` | 使用并行agents对每个item进行深度调研 |
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| `/research-report` | 从JSON结果生成markdown报告 |
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## 工作流 & 示例
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@@ -51,25 +51,22 @@ pip install pyyaml
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```
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/research AI Agent Demo 2025
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```
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> *旧版本: `run /research AI Agent Demo 2025`*
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💡 **发生了什么**：告诉它你要研究什么 → 它帮你列出调研清单
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**你会得到**：17个待调研的AI Agent清单（ChatGPT Agent、Claude Computer Use、Cursor等）+ 每个要收集哪些信息
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### 阶段2：深度调研
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```
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/research:deep
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/research-deep
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```
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> *旧版本: `run /research/deep`*
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💡 **发生了什么**：AI自动上网搜索每个item的详细信息，逐个完成
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**你会得到**：每个Agent的详细资料（公司、发布日期、定价、技术规格、用户评价...）
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### 阶段3：生成报告
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```
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/research:report
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/research-report
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```
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> *旧版本: `run /research/report`*
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💡 **发生了什么**：所有数据 → 一份整理好的报告
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**你会得到**：`report.md` - 带目录的完整Markdown报告，可直接阅读或分享
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