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    Resume ATS Optimizer

    by Arnstein Larsen

    1

    Professional resume optimization engine that generates ATS-safe rewrites, keyword gap audits, and LinkedIn alignment.

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    See it in action

    You say

    Rewrite my resume for this Senior Project Manager role. I've attached my current CV and the job description. I need it to pass ATS and have better metrics.

    Your agent does

    1. === OPTIMIZED RESUME (ATS-READY) ===

    [Full rewrite provided]

    3. === JOB-MATCH SCORE & KEYWORD GAPS ===

    Match Score: 82% Present: PMP, Agile, Budgeting >$1M Missing: SaaS Implementation, Stakeholder Mapping

    5. === SECTION-BY-SECTION REWRITE ===

    Before: Managed a team to deliver software. After: Led a 12-person cross-functional squad to deploy 4 SaaS modules 15% ahead of schedule, resulting in $200k early-realization savings.

    What you get

    Pass ATS filters by removing problematic tables and non-standard formatting.Quantify professional achievements using the industry-standard X-Y-Z formula.Identify and bridge keyword gaps between a resume and a target job posting.Sync LinkedIn profiles with targeted resumes for professional consistency.

    About this skill

    The problem

    Standard resumes often fail at the first hurdle: the Applicant Tracking System (ATS). Tables, multi-column layouts, and generic descriptions cause parsers to discard applications before a human ever see them.

    What it does

    • Converts complex resume layouts into ATS-safe, single-column plain text structures.
    • Extracts hard requirements from job postings to calculate a precise keyword match score.
    • Rewrites experience bullets using the X-Y-Z framework (result, action, metric) to mirror recruiter preferences.
    • Generates a keyword integration map showing exactly where target terms were placed for maximum impact.
    • Aligns LinkedIn headlines and "About" sections with the optimized resume for a consistent professional brand.

    Why this beats prompting it yourself

    Generic prompts often hallucinate metrics or use flowery language that recruiters ignore. This skill follows a rigid 13-section methodology that prioritizes data-driven results over adjectives and strictly enforces ATS formatting rules that manual prompting frequently misses.

    Use cases

    • Tailoring a generic CV for a specific high-value job application.
    • Modernizing an outdated resume after a long period of employment.
    • Optimizing a LinkedIn profile to match a high-priority job target.
    • Auditing a current resume for ATS compatibility and keyword gaps.

    Known limitations

    This skill will not fabricate experience or certifications. It flags missing metrics for the user to fill in rather than making up numbers.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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