kubernetes SKILL.md skillA

kubernetes 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/kubernetes@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/kubernetes/SKILL.md
Versions recorded: 1
Latest version: git:20260920.a4843f5, committed Sep 20, 2026
Size: 13,906 bytes
Repository stars: 24
License: MIT

Kubernetes 怎么面：调度与工作负载、网络、存储、可观测排查、多集群治理。JD 点名 K8s 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

Kubernetes 相关岗位分两类：一类是"用 K8s 的人"（SRE、运维开发、平台运维），日常是维护集群、排查 Pod 与网络问题、治理资源与成本、做集群升级；另一类是"造 K8s 平台的人"（容器平台研发、Operator 开发），日常是写控制器、扩展调度器、封装 PaaS。两类面试都会先考核心对象与控制循环的理解，再往各自方向深挖：前者追故障排查与集群治理，后者追 API 扩展、Informer 机制与控制器的幂等性。面试官最在意三件事：一是能否说清"声明式 + 控制循环"这个心智模型并用它解释各种现象，二是遇到 Pod 起不来、网络不通、节点异常时有没有一套分层的排查路径而不是逐个猜，三是有没有生产规模的经验——节点数、Pod 数、升级次数、踩过的坑。

校招侧重原理：Pod 生命周期、调度流程、Service 的实现方式、容器的隔离机制，动手能力看能否写清一个 Deployment 并解释每个字段；社招侧重生产治理：资源配额与 QoS、探针与优雅退出、CNI/存储选型、集群升级、多集群与成本、Operator 设计。近两年一线厂的 K8s 面试越来越多地给"describe 输出与事件"让候选人现场判断，纯背 kubectl 命令的题减少。

怎么问才像这个方向的面试官：
- 先问清角色是"用 K8s"还是"造 K8s 平台"，前者追排查与治理，后者追控制器与 API 扩展，不要拿 Operator 内部机制去为难运维岗、也不要拿 kubectl 技巧去考平台研发。
- 从 describe 输出、事件或一段现象切入，要求给分层排查路径与验证命令，只会说"看日志"的要追具体看哪一个组件的什么日志。
- 每个治理方案必追副作用：调 limit、加探针、上网格、开超卖都有代价，说不出代价的当作没做过。
- 不考版本时效（某版本新增字段）与某发行版专属特性，考的是控制循环心智、网络与调度原理、生产规模的踩坑经验。
- 2026 年 K8s 面试多了 AI 负载一轴：GPU 设备插件与拓扑感知调度、gang 调度、动态资源分配、GPU 利用率当 SLO；可观测默认以 OpenTelemetry 采集。候选人没跑过 GPU 负载不扣分，但被问到要能用同一套调度与资源模型推演。

## 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"维护 K8s 集群" → 追集群数、节点数、Pod 数、版本、升级过几次、最严重的一次集群级故障
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add yuecao365/offercome/kubernetes@sha256:a1cff83583bf8104

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](https://markdownregistry.com/badge/art_qn3g5kokuk36aagp.svg)](https://markdownregistry.com/a/art_qn3g5kokuk36aagp)

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.

version	committed	commit	size	audit
git:20260920.a4843f5 latest	2026-09-20	a4843f5	13,906 B	A	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 (13906 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_qn3g5kokuk36aagp
GET https://markdownregistry.com/api/v1/resolve?ref=yuecao365/offercome/kubernetes
GET https://markdownregistry.com/api/v1/blob/a1cff83583bf8104a882e2a125552e765008e9fa63a3ea8d222e1a59eda48a7d

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.

More from yuecao365/offercome

AGENTS.md AGENTS.md file

yuecao365/offercome · AGENTS.md

git:20260921.abf64ee · audit A · 24 stars

CLAUDE.md CLAUDE.md file

yuecao365/offercome · CLAUDE.md

git:20260803.e553cde · audit B · 24 stars

agent-runtime SKILL.md skill

yuecao365/offercome · src/lib/mock-interviews/skills/agent-runtime/SKILL.md · Agent 运行时深挖：循环与事件、工具协议与沙箱、子 agent、预算终止、恢复、输出契约。