Cv Tailor
Optimize resumes by matching keywords to the job description, rewriting experience with...
Install
npx skills add zebbern/claude-code-guide --skill cv-tailor -g -a claude-code -y- Repository
- zebbern/claude-code-guide4.7k
- Category
- Engineering
- Updated
- 4d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Optimize 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.
CV Tailor
Three pillars of resume optimization: Analyze keyword alignment against the target JD, rewrite experience bullets using the STAR method with quantified results, and run an ATS compatibility check, producing a highly targeted, high-pass-rate optimized resume.
Quick Start
The user provides their resume (content or file) and the target JD. The agent then automatically completes the optimization following the workflow below:
User: Help me optimize my resume, I'm applying for this role [attaches JD + resume]
Agent: [Follows the SOP workflow and outputs optimization recommendations plus a rewritten resume]
SOP Workflow
Phase 1: Input Collection & Initial Analysis
Goal: Gather the user's resume and target JD; establish an optimization baseline.
Steps:
-
Collect materials:
- Obtain the user's resume content (pasted text or file path)
- Obtain the target JD (pasted text or role description)
- If no JD is provided, ask about the target role direction (industry + position + level)
-
Resume baseline parsing:
- Identify resume sections (education, work experience, projects, skills, etc.)
- Count resume length, number of experience entries, and time span
- Note the current resume format type (reverse-chronological / functional / hybrid)
-
JD core element extraction:
- Job title and level
- Core responsibilities (Top 5)
- Hard requirements (must-haves)
- Nice-to-haves
- Key skill terms and industry jargon
Output: Resume status summary + JD element checklist
Phase 2: JD Keyword Match Analysis
Goal: Systematically compare keyword coverage between the resume and JD to identify match gaps.
Steps:
- Categorized keyword extraction: Extract three categories of keywords from the JD:
