cv-optimize

name	cv-optimize
description	Resume/CV optimization. Analyze a resume, reposition strengths, and produce an optimized PDF tailored to a target role.
argument-hint	<resume_file_path> [target role or company name] [emphasis points]
allowed-tools	Bash, Read, Write, Edit, Glob, Grep, WebSearch, Agent
author	Maki
version	1.0.0
tags	["career","resume","cv","job-search","pdf"]
required_env	[]
required_bins	["uv"]
platforms	["macos","linux"]
safety_level	safe

/cv-optimize — Resume Analysis & Optimization

Read a resume file (PDF / Markdown / DOCX), perform structured analysis, and produce a target-role-optimized PDF.

---

Phase 0: Collect Input

1. Resume file: Read from user-provided path (supports PDF / Markdown)
2. Target info (from arguments or ask user):
   • Target role (e.g., "AI Engineer", "PM", "Data Scientist")
   • Target company name (optional, for tailoring)
   • JD content or link (optional, for keyword alignment)
   • Emphasis points (e.g., "leadership", "bilingual", "career transition")

If no target role is provided, ask once:

What role are you optimizing for? (e.g., AI Engineer / PM / Data Scientist / general)
Any specific strengths you want to emphasize?

---

Phase 1: Resume Analysis

After reading the full resume, output a structured analysis:

## Resume Analysis — {Name}

### Basic Info
- Name / Target title / Total experience / Education

### Strengths (Keep)
1. ... (list 3-5 highlights worth keeping, especially quantified achievements)

### Issues (Needs Optimization)
| # | Issue | Severity | Description |
|---|-------|----------|-------------|
| 1 | ... | High/Med/Low | ... |

### Target Role Match Analysis
| Requirement | Candidate's Experience | Match Level |
|-------------|----------------------|-------------|
| ... | ... | Strong/Medium/Weak/Gap |

Mandatory checks (every resume):

• Title vs target alignment
• Summary is focused (no more than 3 key positioning statements)
• Each experience has quantified results
• Skills section aligned with target role (flag outdated skills)
• Timeline is clear and consistent
• Structure depth doesn't exceed 2 levels
• Space allocation proportional to relevance
• Each role includes Tech Stack

---

Phase 2: Reposition & Optimize

2.1 Positioning Adjustment

• Redefine subtitle (role positioning statement)
• Rewrite Summary (focus on 2-3 key differentiators with numbers)