在 Deep Agents 中引入 Anthropic Skills 非常简单,因为 Deep Agents 原生支持 Agent Skills 规范(由 Anthropic 提出并开源的标准)。你不需要任何适配层,直接把符合规范的 Skill 目录传给 create_deep_agent 即可。
DeepAgent集成skills
my_project/
└── skillsRepo
└── skills/
└── pptx/
├── SKILL.md # 技能的核心说明与工作流定义
└── scripts # 该技能配套使用的辅助脚本
└── main.py
from dotenv import dotenv_values
from langchain_openai import ChatOpenAI
from deepagents import create_deep_agent
from deepagents.backends.filesystem import FilesystemBackend
env_vars = dotenv_values('.env')
OPENAI_KEY = env_vars['OPENAI_API_KEY']
OPENAI_BASE_URL = env_vars['OPENAI_API_BASE']
llm = ChatOpenAI(model="gpt-5.4-mini", api_key=OPENAI_KEY, base_url=OPENAI_BASE_URL)
# 创建后端(从本地文件系统加载 skills)
backend = FilesystemBackend(root_dir="./skillsRepo")
agent = create_deep_agent(model=llm, backend=backend, skills=["./skills"])
# 指向skills目录,或直接指定 ./skills/pptx
result = agent.invoke({"messages": [{"role": "user", "content": "有哪些skills"}]})
print(111, result["messages"][-1].content)
from deepagents import create_deep_agent, FilesystemPermission
from deepagents.backends.filesystem import FilesystemBackend
backend = FilesystemBackend(root_dir="./skillsRepo")
agent = create_deep_agent(
model=llm,
backend=backend,
skills=["./skills/frontend-design"],
permissions=[
FilesystemPermission(
operations=["write"], # 限制的操作类型
paths=["/skills/**"], # 限制的路径模式
mode="deny", # 模式:deny(禁止)/ interrupt(审批)
),
FilesystemPermission(
operations=["write"],
paths=["/output/**"],
mode="allow", # 允许写入 output 目录
),
]
)