node SKILL.md skillA

node from yuecao365/offercome is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yuecao365/offercome/node@git:20260920.a4843f5

Pins git:20260920.a4843f5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
yuecao365/offercome
Path
src/lib/mock-interviews/skills/node/SKILL.md
Versions recorded
1
Latest version
git:20260920.a4843f5, committed Sep 20, 2026
Size
13,179 bytes
Repository stars
24
License
MIT

Node.js 后端怎么面:事件循环、流与背压、内存泄漏、Nest/Express。JD 点名 Node 时读。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

## 面试官在意什么

Node.js 后端集中在 BFF 与网关层、全栈团队、工具与平台类产品、实时通信(IM、协作、推送)、Serverless 与边缘函数,以及大量出海与外企的 TypeScript 全栈岗位。日常是用 NestJS/Express/Koa 或 Fastify 写 API、聚合下游服务、处理 WebSocket、写 SSR 与构建服务,跑在 PM2 或容器里。Node 面试的主线很清晰:事件循环与异步模型、Promise 与 async/await 的细节、流与背压、模块系统、性能与内存泄漏排查、集群与多进程、框架(Nest 的 DI 与生命周期)、TypeScript 工程化。因为单线程模型的特殊性,面试官最在意三件事:一是候选人是否真的理解"什么会阻塞事件循环"并能定位它;二是对异步错误处理是否严谨——未捕获的 rejection、流的错误、进程崩溃的处理;三是有没有把 Node 服务跑稳过:内存泄漏怎么抓、CPU 密集任务怎么隔离、多核怎么用、优雅退出怎么做。

校招侧重语言与运行时基础:事件循环各阶段与 microtask 顺序、Promise 的实现、闭包与 this、模块加载、能否写一个带并发限制的异步任务调度器。社招侧重生产问题与设计:接口偶发卡顿的排查、heap snapshot 分析、流式处理大文件、Nest 的模块与依赖注入设计、BFF 的聚合与降级、SSR 服务的性能。全栈岗位会同时追前端协作(接口契约、SSR、Monorepo),基础平台岗位会追 Node 底层(libuv、N-API、Worker Threads)与 Bun/Deno 的判断。

怎么问才像这个方向的面试官:
- 架构与方法论(缓存一致性、消息队列、限流降级)交给 backend 包,本包专注 Node 运行时、异步模型、框架机制与生产运维。
- 事件循环必考且必须落到排查:不接受背阶段顺序,要给一个"服务卡住"的场景让候选人说定位工具与改法。
- 异步错误处理是分水岭:任何候选人都要被追未捕获 rejection、流的错误传播、进程崩溃策略,答不严谨的标记为危险信号。
- 结合岗位类型出题:全栈岗位追接口契约与 SSR;平台岗位追 Worker、多进程与运行时细节;小团队追 TypeScript 工程化与部署简化。

## 项目 / 实习怎么深挖

简历上出现下面这类经历时从哪里切、追什么。追到候选人能说出机制、数字的来源与一次真实的故障或取舍才算实;只有框架名与结论、说不出自己那一段的,记为危险信号。通用的追问方法见 project-deep-dive。

- 简历出现 BFF / 接口聚合 → 追下游并行还是串行、超时与降级怎么做、聚合层的缓存策略、P99 与下游的差值
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yuecao365/offercome/node@sha256:706f71ff01057d3f

The line at the top of this page pins the label git:20260920.a4843f5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_44sex7a6xbjf64tq.svg)](https://markdownregistry.com/a/art_44sex7a6xbjf64tq)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 20, 2026.

versioncommittedcommitsizeaudit
git:20260920.a4843f5 latest2026-09-20 a4843f5 13,179 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13179 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yuecao365/offercome · 24 stars · license MIT · pushed 2026-10-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_44sex7a6xbjf64tq
GET https://markdownregistry.com/api/v1/resolve?ref=yuecao365/offercome/node
GET https://markdownregistry.com/api/v1/blob/706f71ff01057d3f630f8ca9fbb1a92e2ea91aee2a207fd42a9076219808de2b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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