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    Job Application Tailor

    by mell

    1

    Transforms job postings and resumes into ATS-optimized, human-sounding applications with quantified evidence mapping.

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    See it in action

    You say

    Tailor my resume for this Senior Dev role. Here is the job posting [link/text] and my current resume [text]. Make sure the bullets are ATS-friendly.

    Your agent does

    Requirement-to-Evidence Map

    • SQL Performance: Improved query speed 40% (Candidate context)
    • Stakeholder Mgmt: Led weekly syncs for 15+ devs (Candidate context)

    Tailored Bullets

    • Reduced database latency by 40% through SQL query optimization and indexing...

    What you get

    Extract exact ATS keywords from job descriptions to ensure system visibility.Map real-world achievements to specific job requirements using data.Strip AI writing tells from cover letters to pass human recruiter review.Identify missing qualifications to address gaps before the interview.

    About this skill

    The problem

    Generic AI-generated applications are easily spotted by recruiters and filtered by ATS systems. Job seekers waste hours manually mapping their experience to job descriptions without knowing if they are using the correct keywords or eliminating AI writing patterns.

    What it does

    • Extracts hard and soft requirements from job postings to identify exact ATS keywords.
    • Maps your specific, quantified achievements directly to those requirements using a structured evidence map.
    • Generates resume bullets that lead with outcomes rather than tasks, using the posting's exact terminology.
    • Drafts cover letters under 300 words that bypass common AI vocabulary tells and clichés.
    • Performs a mandatory "de-AI" pass to remove repetitive sentence structures and fluff adjectives.

    Why this beats prompting it yourself

    Most prompts produce "passionate" and "results-driven" fluff that recruiters ignore. This skill forces a rigorous mapping process between your real background and the job requirements, ensuring every claim is backed by evidence rather than generic praise. It includes a specific protocol to strip out the linguistic patterns that reveal a cover letter was written by an LLM.

    Use cases

    • Tailoring an existing resume for a specific high-stakes job application.
    • Converting vague work history into quantified, ATS-optimized resume bullets.
    • Drafting human-sounding cover letters that focus on evidence over enthusiasm.
    • Identifying gaps in your background relative to a specific job description.

    Known limitations

    It will not fabricate experience or invent metrics. You must provide your real background and the full job text for it to function.

    How to install

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

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    Creator

    M
    mell

    5 skills on Agensi

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