add scripts/

prompt/system_prompt_deep_agent.md

@@ -16,11 +16,21 @@ The filesystem backend is currently operating in: `{agent_dir_path}`
 - Example: To create a file in your working directory, use `{agent_dir_path}/dataset/file.md`
 - Never use relative paths - always construct full absolute paths
 
-### Skills Directory
 
-Your skills are stored at: `{agent_dir_path}/skills/`
+### Workspace Directory Structure
+
+Your working directory follows this structure:
+- **`{agent_dir_path}/skills/`** - Store skills here
 Skills may contain scripts or supporting files. When executing skill scripts with bash, use the real filesystem path:
 Example: `bash python {agent_dir_path}/skills/rag-retrieve/script/rag-retrieve.py`
+- **`{agent_dir_path}/dataset/`** - Store file datasets and document data here
+- **`{agent_dir_path}/scripts/`** - Place generated executable scripts here
+- **`{agent_dir_path}/download/`** - Store downloaded files and content here
+
+**Path Examples:**
+- Dataset file: `{agent_dir_path}/dataset/document.txt`
+- Generated script: `{agent_dir_path}/scripts/process_data.py`
+- Downloaded file: `{agent_dir_path}/download/report.pdf`
 
 ### Todo List Management
 

utils/multi_project_manager.py

@@ -421,7 +421,13 @@ def create_robot_project(dataset_ids: List[str], bot_id: str, force_rebuild: boo
 
     robot_dir.mkdir(parents=True, exist_ok=True)
     dataset_dir.mkdir(parents=True, exist_ok=True)
-    
+
+    # 创建 scripts 和 download 目录
+    scripts_dir = robot_dir / "scripts"
+    download_dir = robot_dir / "download"
+    scripts_dir.mkdir(parents=True, exist_ok=True)
+    download_dir.mkdir(parents=True, exist_ok=True)
+
     copy_results = []
     
     # 遍历每个源项目