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diya-thabet/ats-slayer

Domain:

natural language processing
Creator:
diy
Host:
Battle-tested AI prompts, LaTeX workflows, and resume strategies for Tunisian internship/job seekers to defeat ATS filters and land interviews. # ats-slayer > Beating automated ATS filters with LaTeX precision and targeted LLM prompts. --- ## The Story Behind This (Why I Built This) I'm a software engineer from Tunisia, and I got tired of watching automated ATS filters treat applicants like numbers. I kept seeing genuinely brilliant candidates people with real, hard-earned technical skills, get blocked by a corporate bot long before a human ever laid eyes on their work. Their resumes were being shredded by default rules: overused verbs, missing metrics, non-standard formatting, forgotten keywords. And none of it had anything to do with their actual ability. So I spent a month in 2024 doing the one thing: brute-forcing the system. I reverse-engineered ATS rules, tweaked formatting obsessively, and used **Resume Worded** as my primary ground-truth benchmark — treating it like a test suite I had to make pass. The results changed things for me. After consistently hitting **95+ scores**, this exact method landed me multiple internships and more job interviews than I can count. I want to be crystal clear about one thing: **this method doesn't replace real technical skills.** It never pretends to. What it does is simple and honest — it **destroys the bot barrier** so that your true, hard-earned work finally gets seen by an actual human being. Your skills were always there. This just clears the way. --- ## Core Philosophy - **Technology should serve human well-being** — not reduce people to keywords on a page. - **Applicants deserve to be evaluated fairly and with human dignity** — a bot's parsing quirk should never be the reason a talented person misses an opportunity. This project exists to level that playing field. --- ## Quick Start Guide 1. **Copy** `prompts/prompt_v1.txt`. 2. **Paste** your raw CV details into the prompt (in the INPUT TARGET section). 3. **Run** it through your preferred LLM (ChatGPT, Claude, etc.). 4. **Compile** using `templates/resume.tex` locally, or set up `ci/compile- …

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