chore: initialize sandbox and overwrite remote content

examples/functionality/agent_skill/main.py

@@ -0,0 +1,79 @@
+# -*- coding: utf-8 -*-
+"""The main entry point of the agent skill example."""
+import asyncio
+import os
+
+from agentscope.agent import ReActAgent
+from agentscope.formatter import DashScopeChatFormatter
+from agentscope.memory import InMemoryMemory
+from agentscope.message import Msg
+from agentscope.model import DashScopeChatModel
+from agentscope.tool import (
+    Toolkit,
+    execute_shell_command,
+    execute_python_code,
+    view_text_file,
+)
+
+
+async def main() -> None:
+    """The main entry point for the ReAct agent example."""
+    toolkit = Toolkit()
+
+    # To use agent skills, your agent must be equipped with text file viewing
+    # tools.
+    toolkit.register_tool_function(execute_shell_command)
+    toolkit.register_tool_function(execute_python_code)
+    toolkit.register_tool_function(view_text_file)
+
+    # Register the agent skill
+    toolkit.register_agent_skill(
+        "./skill/analyzing-agentscope-library",
+    )
+
+    agent = ReActAgent(
+        name="Friday",
+        sys_prompt="""You are a helpful assistant named Friday.
+
+# IMPORTANT
+- Don't make any assumptions. All your knowledge about AgentScope library must come from your equipped skills.
+""",  # noqa: E501
+        model=DashScopeChatModel(
+            api_key=os.environ.get("DASHSCOPE_API_KEY"),
+            model_name="qwen3-max",
+            enable_thinking=False,
+            stream=True,
+        ),
+        formatter=DashScopeChatFormatter(),
+        toolkit=toolkit,
+        memory=InMemoryMemory(),
+    )
+
+    # First, let's take a look at the agent's system prompt
+    print("\033[1;32mAgent System Prompt:\033[0m")
+    print(agent.sys_prompt)
+    print("\n")
+
+    print(
+        "\033[1;32mResponse to Question 'What skills do you have?':\033[0m",
+    )
+    # We prepare two questions
+    await agent(
+        Msg("user", "What skills do you have?", "user"),
+    )
+
+    print(
+        "\n\033[1;32mResponse to Question 'How to create my own tool function "
+        "for the agent in agentscope?':\033[0m",
+    )
+    # The second question
+    await agent(
+        Msg(
+            "user",
+            "How to custom tool function for the agent in agentscope?",
+            "user",
+        ),
+    )
+
+
+asyncio.run(main())