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refactor: flatten skills directory structure

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- 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>
This commit is contained in:
jilinchen
2026-01-08 11:30:50 +08:00
co-authored by Claude Opus 4.5
parent 46529e4b88
commit bb7b8453e2
14 changed files with 26 additions and 32 deletions
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README.md
+13 -16
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@@ -17,10 +17,10 @@ A structured research workflow skill for Claude Code, supporting two-phase resea
```bash
# English version
cp -r skills/research-en ~/.claude/skills/research
cp -r skills/research-en/* ~/.claude/skills/
# Chinese version
cp -r skills/research-zh ~/.claude/skills/research
cp -r skills/research-zh/* ~/.claude/skills/
# Required: Install agent
cp agents/web-search-agent.md ~/.claude/agents/
@@ -31,17 +31,17 @@ pip install pyyaml
## Commands
> **Claude Code 2.1.0+**: Direct `/research` trigger is now supported!
> **Claude Code 2.1.0+**: Direct `/skill-name` trigger is now supported!
>
> **Older versions**: Use `run /research` format instead.
> **Older versions**: Use `run /skill-name` format instead.
| Command (2.1.0+) | Command (older) | Description |
|------------------|-----------------|-------------|
| `/research` | `run /research` | Generate research outline with items and fields |
| `/research:add-items` | `run /research/add-items` | Add more items to existing outline |
| `/research:add-fields` | `run /research/add-fields` | Add more fields to existing outline |
| `/research:deep` | `run /research/deep` | Deep research each item with parallel agents |
| `/research:report` | `run /research/report` | Generate markdown report from JSON results |
| Command (2.1.0+) | Description |
|------------------|-------------|
| `/research` | Generate research outline with items and fields |
| `/research-add-items` | Add more items to existing outline |
| `/research-add-fields` | Add more fields to existing outline |
| `/research-deep` | Deep research each item with parallel agents |
| `/research-report` | Generate markdown report from JSON results |
## Workflow & Example
@@ -51,25 +51,22 @@ pip install pyyaml
```
/research AI Agent Demo 2025
```
> *Older versions: `run /research AI Agent Demo 2025`*
💡 **What happens**: Tell it your topic → It creates a research list for you
**You get**: A list of 17 AI Agents to research (ChatGPT Agent, Claude Computer Use, Cursor, etc.) + what info to collect for each
### Phase 2: Deep Research
```
/research:deep
/research-deep
```
> *Older versions: `run /research/deep`*
💡 **What happens**: AI automatically searches the web for each item, one by one
**You get**: Detailed info for each Agent (company, release date, pricing, tech specs, reviews...)
### Phase 3: Generate Report
```
/research:report
/research-report
```
> *Older versions: `run /research/report`*
💡 **What happens**: All data → One organized report
**You get**: `report.md` - A complete markdown report with table of contents, ready to read or share