agentenatalie

实习.skill — 双非也能拿大厂 offer。帮你改简历、抠面经、准备面试,把真实背景翻译成面试官想要的样子。

19
1
89% credibility
Found Jun 01, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A career coaching tool that helps job seekers from any background translate their real experiences into compelling resumes and interview preparation materials, focusing on honest translation rather than fabrication.

How It Works

1
💼 You discover a job-hunting helper

You find a tool that promises to help translate your real experiences into language that impresses hiring managers, even if you come from a non-elite background.

2
🔧 You connect it to your AI assistant

You add this skill to your AI assistant so it can help you throughout your job search journey with specialized knowledge about resumes and interviews.

3
📄 You share your resume and dream job

You simply paste your current resume and the job listing you're interested in, telling your assistant which company and position you want.

4
🔍 Your background gets researched

Your assistant searches the web to understand what this company really looks for, uncovering hidden requirements and the latest news about their hiring process.

5
✍️ Your resume gets translated

Your real experiences are rewritten to speak the language of your target job, showing how your background connects to what they actually need.

6
You review and approve the changes
Looks good, let's continue

You approve the resume and move on to interview prep

🔄
I want to adjust something

You ask for changes to better match your voice or experience

7
🎯 You get interview talking points

Your assistant creates a preparation document with likely questions, your key stories to tell, and flags any risky areas that might need careful answers.

🚀 You feel confident and ready

You walk into your interview knowing exactly how to present your background in a way that resonates, without having to lie or exaggerate.

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Star Growth

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AI-Generated Review

What is get-job.skill?

This is an AI-powered job application toolkit built in Python that guides you through the entire job-seeking process: researching target positions, rewriting your resume, and preparing for interviews. The core idea is "translation, not fabrication" — it helps you reframe your real experiences in language that hiring managers actually want to hear. It runs as a skill compatible with Claude Code, Cursor, and other AI coding agents, accepting your raw resume and job description as input and outputting polished documents including a formatted docx resume and interview prep materials.

Why is it gaining traction?

The job market in China is brutally competitive, and this tool addresses a real pain point: qualified candidates with non-elite backgrounds getting filtered out despite having genuine skills. Unlike generic resume templates, it reverses-engineers what each specific job posting actually wants and systematically re-aligns your experience to match — including preparing you for the follow-up questions that reveal gaps. The three-phase pipeline (research, rewrite, interview prep) connects logically so each output feeds the next, and it explicitly warns against lying, which builds trust. The "translation not fabrication" ethic is genuinely useful framing.

Who should use this?

Career switchers re-entering the job market — especially people moving from humanities, education, or non-technical backgrounds into tech, AI, or product roles. Developers with strong technical skills but weak communication who struggle to explain their background in interviews. Chinese-speaking job seekers who need help bridging the gap between what they've done and what companies are actually hiring for.

Verdict

At 19 stars this is early-stage and niche, but the methodology is solid and the problem it solves is widespread. The documentation is thorough with multiple worked examples, and the open skill protocol means you can try it today in any compatible AI runtime. Worth installing if you're on the job market and struggling to get callbacks — just don't expect community support or frequent updates. The credibility score of 0.9% reflects a small user base, but the thinking behind the tool is more mature than its star count suggests.

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