Building implementations of complex automated workflows
To create a multi-step automation task:
- chained instruction: Enter a natural language description of the complete process, for example:
"在桌面创建‘项目文档’文件夹，下载https://example.com/file.txt保存到该文件夹，然后用TextEdit打开"
LlamaStack is automatically broken down into multiple subtasks. - Script mode::
- exist
custom_commands/Directory Adding Python Scripts - by means of a directive
"运行[脚本名]"Calls (need to follow the plugin interface defined by the project)
- exist
- Scheduled Tasks Integration::
- Save the generated Python code as
.pyfile - utilization
launchdmaybecronSetting up regular implementation
- Save the generated Python code as
Advanced tips: 1) Use&&Connecting multiple base commands 2) Viewexamples/Catalog Reference Official Example 3) By"显示代码"Command learning generates logic.
This answer comes from the articleOpen source tool to control macOS operations with voice and textThe
May not be reproduced without permission:AI productivity tools " How to implement the creation of complex workflows with macOS LLM Controller?
