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    career driven

    1

    Local job search engine for fact-based resume tailoring, lead ranking, and multi-board discovery.

    $29

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    career driven

    career driven

    Example session with this skill installed

    Tailor my Senior Software Engineer resume for the Backend role at Stripe. I have the job description saved in my clipboard.

    • Read your context and instructions
    • Compiled the career driven

    I have initialized a new application folder for Stripe and saved the job description. I matched the requirements against your backend-eng variant and generated the tailored materials.

    Application Tailoring: Stripe - Senior Software Engineer (Backend)

    AssetPathStatus
    Job Descriptionapplications/2024-10-24-stripe/jd.txtSaved
    Tailored Resumeout/jdoe/backend-eng--stripe.pdfRendered (Typst)
    ATS Resumeout/jdoe/backend-eng--stripe.docxGenerated
    Cover Letterout/jdoe/cover--stripe.pdfDrafted
    Application Stateapplications/2024-10-24-stripe/application.jsonStatus: draft

    Fact Matches & Adjustments:

    • Signal: Highlighted your distributed-systems and golang experience from the content/ bank.
    • Adjustment: Included the specific "High-availability API design" project as it matched the JD keywords.
    • Omission: Removed the frontend-react section to prioritize backend depth.

    Next steps

    1. Review the generated PDF in the out/ directory for any final tweaks.
    2. Submit the application manually on the Stripe careers site.
    3. Run career build --target 2024-10-24-stripe to move this to the applied state and archive the files.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Managing a multi-lane job search across dozens of disparate job boards and careers sites is a manual, fragmented mess. This skill localizes your entire search pipeline, providing a command-line engine to ingest your history, crawl niche job boards, rank leads by your specific criteria, and generate tailored, submission-ready PDFs.

    What it does

    • Local fact banking maintains a single source of truth for your professional history in content/ to prevent fact invention.
    • Automated job discovery crawls Greenhouse, Lever, Ashby, Workday, and other public APIs to aggregate new leads.
    • Lead ranking scores job postings against your profile.yaml keywords, target titles, and lane signals.
    • Tailored document generation renders role-specific resumes and cover letters using Typst for high-quality PDFs and Word for ATS compatibility.
    • Application tracking logs every sent document and interview stage in a structured local file system.

    How it works

    1. Initialize the system by running career init and career onboard ingest to transcribe existing resumes into the local fact bank.
    2. Configure your search by defining target companies and job board watchers in watch.yaml and setting ranking signals in profile.yaml.
    3. Run discovery with career discover run to fetch new postings and update your REVIEW-QUEUE.md.
    4. Tailor and promote leads using career build to generate a job-specific overlay and draft your application materials.

    Frameworks & tools

    The engine is a uv script requiring Python dependencies like pyyaml and python-docx. It uses typst for PDF rendering, poppler for PDF parsing, and optional playwright for HAR-based site discovery.

    Why this beats prompting it yourself

    Standard LLM prompting often results in "hallucinated" achievements or generic buzzwords that fail ATS screens. This skill enforces a "content-first" rule where every resume line must map back to a verified fact bank, ensuring 100% accuracy while automating the repetitive crawl-and-format loop.

    Use cases

    • Manage high-volume applications across multiple career "lanes" like Product Management and Engineering.
    • Fix broken job board integrations by importing browser HAR files to bypass fingerprinting issues.
    • Maintain a permanent, immutable record of exactly which resume version was sent to which company.
    • Prepare for interviews by instantly retrieving facts and notes associated with a specific application folder.

    Known limitations

    Does not support one-off resume advice or OCR for image-only PDFs. Requires local installation of uv, Typst, and poppler. Cannot bypass robots.txt or site-wide bot screening.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 3 days ago

    • Passed all security checks, Safe to install

    Requires

    macOS or Linux (Windows via WSL2, untested)
    Claude Code
    uv 0.4.19+
    Python 3.12+ (installed by uv)
    Typst 0.11+
    poppler (pdftotext, pdfinfo)
    rsync (optional, for backups)
    Playwright 1.64+ with Chromium headless shell (optional, only for `career har capture`)
    macOS
    Python
    uv (Python tool runner)

    Listed3 days ago

    What's inside

    Frequently Asked Questions