cv-tailor
FeaturedOptimize resumes by matching keywords to the job description, rewriting experience with the quantified STAR method, and checking ATS compatibility. Triggered when users ask for resume help, review, or polishing, mention JD matching, STAR method, ATS, or want to tailor their resume for a specific role.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- zebbern
- Repository
- zebbern/claude-code-guide
- Created
- 1 years ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
resume-tailor
Use when the user wants to tailor a resume to a job description, convert experience into quantified bullets, improve how a resume parses and scans, fix a resume that gets no responses, or prepare resume evidence for AI-company applications.
resume-builder
Tailors and customizes a resume for a specific job. Triggers on: tailor my resume, customize my CV, optimize my resume for a job, apply to this role, help me apply, beat ATS, get through applicant tracking, keyword-optimize my resume, rewrite my resume for this job, match my resume to a job description, job-specific resume, rewrite bullets for this role, resume for this position, prepare my resume, make my resume fit this job. Accepts a job description as pasted text, a local file path (.txt or .md), a LinkedIn or job-board URL (fetched automatically), or a plain-language role description (company, title, key requirements). Reads the base resume from ~/resume/base-resume.md or a custom path; supports .md, .txt, .pdf, and .docx resume formats. Produces a tailored resume saved to ./tailored/<company>-<role>-YYYY-MM-DD.md plus a separate *-report.md with ATS coverage, gaps, confidence scores, and interview prep; optionally generates DOCX and/or PDF alongside Markdown.
resume-ats-linkedin-optimizer
Build, rewrite, tailor, and audit a world-class resume/CV and LinkedIn profile that wins interviews — optimized at the same time for ATS parsing (Workday, Greenhouse, Lever, Taleo, iCIMS, Ashby), fast recruiter skim-reading, and LinkedIn recruiter search. Use when the user wants to create, improve, fix, or review a resume or CV; tailor a resume to a specific job description; run an ATS check or audit; write or strengthen achievement bullet points; quantify accomplishments; optimize a LinkedIn headline, About, skills, or experience; write a tailored cover letter; or generally maximize their chances of getting hired. Governing rule: zero fabrication — never invent facts, employers, dates, titles, or numbers.