Task Router Skill
Task Router
Bi-directional control of Trae via macOS AppleScript with built-in feedback mechanism. Use when needing to execute code/commands in Trae IDE and wait for completion confirmation.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 88901111hz-lang/nerve-bridge-skill打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Direct neural link to Trae with closed-loop feedback via macOS AppleScript.
Send instruction and wait for confirmation:
python3 nerve_bridge.py "<instruction>"
Example:
python3 nerve_bridge.py "Create a new Python file and add a simple 'Hello World' function. After creating, add a print statement to test it."
Signal Injection:
pbcopy
Feedback Loop:
~/.openclaw/workspace/trae_feedback.json when doneWhen crafting instructions, include this pattern at the end:
import json, time
with open("~/.openclaw/workspace/trae_feedback.json", "w") as f:
json.dump({"status": "success", "timestamp": time.time()}, f)
python3), AppleScript (osascript)~/.openclaw/workspace/trae_feedback.json (created by the script)这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Nerve Bridge (v2)
Direct neural link to Trae with closed-loop feedback via macOS AppleScript.
## Quick Start
Send instruction and wait for confirmation:
```bash
python3 nerve_bridge.py "<instruction>"
```
Example:
```bash
python3 nerve_bridge.py "Create a new Python file and add a simple 'Hello World' function. After creating, add a print statement to test it."
```
## How It Works
1. **Signal Injection**:
- Payload is copied to system clipboard via `pbcopy`
- AppleScript activates Trae and simulates: Space (wake) → Delete → Cmd+V → Enter
2. **Feedback Loop**:
- Instruction must include a Python hook that writes to `~/.openclaw/workspace/trae_feedback.json` when done
- Script waits up to 5 minutes (300 seconds) for the signal file
- Returns JSON feedback when received
## Required Hook Pattern
When crafting instructions, include this pattern at the end:
```python
import json, time
with open("~/.openclaw/workspace/trae_feedback.json", "w") as f:
json.dump({"status": "success", "timestamp": time.time()}, f)
```
## Environment
- **Platform**: macOS only
- **Dependencies**: System Python (`python3`), AppleScript (`osascript`)
- **Permissions**: System Events and Terminal must have "Accessibility" permissions
- **Output File**: `~/.openclaw/workspace/trae_feedback.json` (created by the script)
## Troubleshooting
- **No output from Trae**: Check if Trae window is active and input is focused
- **Timeout**: Trae didn't complete within 5 minutes
- **Permission denied**: macOS may need to grant Terminal System Events permissionTask Router
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