by jennifer88huang · Codex Skill · ★ 115
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Big Tech AI Mock Interviewer Skill 大厂 AI 模拟面试官 Skill Interview Skills is an AI mock interview coach for job seekers. It generates targeted mock interview questions from a real job description and a candidate resume. This skill simulates company-specific interview styles across technical rounds, behavioral rounds, HR interviews, salary negotiation, and full multi-round interview loops. 大厂 AI 模拟面试官：基于 生成专属面试问题，模拟更接近真实大厂风格的技术面、HR 面与薪资谈判。现已支持国内外大厂，如字节、腾讯、阿里、美团、Google、Meta、Amazon、Microsoft 等。 []() []() Live Demo / 在线体验： Interview Skills AI Mock Interview Coach GitHub Pages UI： Start a mock interview from JD and resume "面经是别人的经历，JD 是你要面的岗位，简历是你走过的路。" 这个 Skill 不是给你一套通用题库，而是根据你的目标岗位和个人背景，生成更像真实面试官会问的问题。 不仅出题，还会分析 、识别简历薄弱点，并支持追问、HR 面和谈薪模拟。 把你自己的简历 + 真实 JD 丢进来，AI 当面试官，专属你的模拟面试开始了。 如果你正在准备大厂面试，可以 Star 收藏： 后续会持续补充公司题型 持续更新 HR / 谈薪 / 多轮模拟模板 支持更多海外大厂和岗位场景 🌟 祝所有在通往大厂路上的小伙伴早日上岸，拿到心仪的 offer！ News · 快速开始 · 适合谁 · 解决什么问题 · 功能亮点 · 支持公司 · 真实 Demo · 输出示例 · [FAQ](#-fa
| Stars | 115 |
| Forks | 2 |
| Language | JavaScript |
| Category | Codex Skill |
| Quality Score | 40.7/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-03 |
| Created | 2026-04-05 |
| Platforms | node |
| Est. Tokens | ~261k |
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interview-skills is 大厂 AI 模拟面试官 Skill。AI mock interview prep from JD + resume, for 字节、阿里、腾讯、美团、Google, Meta, Amazon, Microsoft, OpenAI.... It is categorized as a Codex Skill with 115 GitHub stars.
interview-skills is primarily written in JavaScript. It covers topics such as ai-interview, amazon-interview, big-tech.
You can find installation instructions and usage details in the interview-skills GitHub repository at github.com/jennifer88huang/interview-skills. The project has 115 stars and 2 forks, indicating an active community.
The top alternatives to interview-skills on Agent Skills Hub include get-job.skill, auto-commenter, latex-document-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.