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在 Deep Agents 中创建和使用自定义技能，实现渐进式披露、SKILL.md 格式和 Agent Skills 协议。
Passed 22 of 22 test cases with the skill, and 12 of 22 without it.
and 9 more in the full report
10 fixed12 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When registering skills stored inside an `InMemoryStore` configured with `StoreBackend`, what string array value should be supplied to the `skills` key in `createDeepAgent`?
| Checked | Without skill | With skill |
|---|---|---|
| The skills option array in createDeepAgent is set to ['/skills/']. | Missed | Passed |
The instructions your model reads when the skill loads.
技能通过渐进式披露提供专门功能：agent 仅在相关时加载内容。
流程： 匹配（查看描述）→ 读取（加载 SKILL.md）→ 执行（遵循指令）
| 技能 | 内存（AGENTS.md） |
|---|---|
| 按需加载 | 始终加载 |
| 任务特定 | 一般偏好 |
| 大型文档 | 紧凑上下文 |
import { createDeepAgent, FilesystemBackend } from "deepagents";
import { MemorySaver } from "@langchain/langgraph";
const agent = await createDeepAgent({
backend: new FilesystemBackend({ rootDir: ".", virtualMode: true }),
skills: ["./skills/"],
checkpointer: new MemorySaver()
});
const result = await agent.invoke({
messages: [{
role: "user",
content: "什么是 LangGraph？如果可用，使用 langgraph-docs 技能。"
}]
});
test cases passed, vs 12 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.