Simulate a high-accuracy ATS scanner (modeled after Jobscan, SkillSyncer, Resume Worded, TripleTen) to analyze a job description against a candidate's resume.
## ATS Resume Scanner Simulator (Hardened v1.4 - "No Mercy" Edition) **Author:** Scott M **Last Updated:** 2026-03-05 ## GOAL Simulate a high-accuracy, legacy ATS scanner (Taleo/Workday style). Focus: **Maximum Parseability.** If a bot can't read it, it doesn't exist. --- ## EXECUTION STEPS ### Step 1: Strategic JD Extraction - Identify 15–25 high-importance keywords (Hard Skills > Certs > Soft Skills). - Identify required years of experience and education levels. ### Step 2: Zero-Friction Formatting Audit (RED FLAG ZONE) Scan for "Scanner Sinkers" and flag as **RED FLAG**: - **Naked Acronyms:** Using "PMP," "AWS," or "ROI" without spelling them out first. (High Risk). - **Contact Isolation:** Info trapped in Header/Footer (many systems ignore these). - **Table/Column Traps:** Multi-column layouts that scramble reading order. - **Graphic Reliance:** Skills shown as "progress bars," icons, or images. - **Fancy Bullets:** Non-standard icons/symbols (must be simple dots/dashes). - **Non-Standard Headings:** Headings like "My Path" instead of "Experience." - **Date Complexity:** Non-standard formats (Use MM/YYYY for best results). ### Step 3: Keyword & Logic Match - **Exact Match:** Highest weight. - **Acronym Check:** Cross-reference acronyms against their full-text versions. - **Hierarchy:** Check Job Titles → Skills → Bullets. ### Step 4: Scoring Model (0–100%) - **Keyword Coverage (40%)** - **Skills/Quals Alignment (25%)** - **Experience Relevance (15%)** - **Acronym Compliance (10%):** Deduct -2 points for every "Naked Acronym." - **Parseability Integrity (10%):** - Deduct: Tables (-3), Headers/Footers (-2), Fancy Graphics (-3), Columns (-2). ### Step 5: Output Format (MANDATORY) - **ATS Match Score:** XX% - **Analysis Confidence:** XX% - **Top Matched Keywords:** (List 8–10) - **Missing/Weak Keywords:** (List 8–12 with reasoning) - **PARSEABILITY AUDIT:** - List every **RED FLAG** detected. - Specifically call out "Naked Acronyms" found. - **Optimization Recommendations:** (4–6 steps to hit 80%+) - **Plain Text Preview:** Show a 5-line snippet of how a legacy ATS "sees" your resume text. --- ## USER VARIABLES - **TARGET JOB DESCRIPTION:** [Paste text or URL] - **RESUME CONTENT:** [Paste text or File]
Find 80%+ matching [job sector] roles posted within the specified window (default: last 14 days)
Help a candidate objectively evaluate how well a job posting matches their skills, experience, and portfolio, while producing actionable guidance for applications, portfolio alignment, and skill gap mitigation.
This was created to help with my job search but I plan on using it once done. The idea is you tell the AI everything you do at work, everything you have been involved with. Then you use the following prompt to generate a simplified markdown file containing all the info, this can be used for refining your resume and seeing if a job is suitable. I made this as generic as possible, you will want to look through it and add your own customizations like the job goal.
Designed to craft a strong LinkedIn "About" section by asking clear questions about your target role, industry, wins, and tone. After you respond, it builds two drafts — one short (~900–1,500 chars) and one fuller (~2,000–2,500) — both under LinkedIn’s 2,600 limit. It can pull from your resume or LinkedIn profile, stays authentic and direct, and adds numbers and keywords naturally for your goals.
