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feat: support direct slash command trigger (Claude Code 2.1.0+)

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- Add user-invocable: true to all SKILL.md files (10 files)
- Update README with new command format (/research:deep)
- Keep backward compatibility notes for older versions

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
jilinchen
2026-01-08 10:55:57 +08:00
co-authored by Claude Opus 4.5
parent e9dd17b291
commit 46529e4b88
12 changed files with 42 additions and 22 deletions
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README.md
+16 -11
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@@ -31,15 +31,17 @@ pip install pyyaml
## Commands
> **Note**: Use `run /research` instead of `/research` directly, as slash commands conflict with built-in commands.
> **Claude Code 2.1.0+**: Direct `/research` trigger is now supported!
>
> **Older versions**: Use `run /research` format instead.
| 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 |
| 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 |
## Workflow & Example
@@ -47,24 +49,27 @@ pip install pyyaml
### Phase 1: Generate Outline
```
run /research AI Agent Demo 2025
/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
```
run /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
```
run /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