job-application-optimizer（职位申请优化器）

Job Application Optimizer

Strategic job application planning and "Resume SEO" optimization. This skill teaches Claude to approach job applications like a marketing campaign - researching the market, qualifying opportunities, and optimizing content for maximum conversion.

When to Activate

Activate on:

• "optimize my resume for this job"
• "should I apply to this job"
• "tailor my resume"
• "ATS optimization"
• "keyword optimization"
• "job search strategy"
• "application strategy"
• "resume SEO"
• "job fit score"

NOT for:

• Initial career narrative creation (use career-biographer)
• Portfolio website design (use cv-creator directly)
• Market positioning analysis (use competitive-cartographer)
• General resume formatting (use cv-creator directly)

Core Philosophy: Resume SEO

Treat job applications like search engine optimization:

Strategic Framework

1. Opportunity Qualification

Before optimizing, determine if the job is worth applying to:

APPLY signals:

• Match score >65% on core requirements
• <3 years experience gap
• Transferable skills cover >50% of gaps
• Company culture aligns (green flags)
• Compensation in range

SKIP signals:

• Match score <50% with hard blockers
• >5 years experience gap
• Required certifications you don't have
• Multiple red flags (rockstar, wear many hats)
• Major relocation required (if not willing)

2. Keyword Research

Like SEO keyword research, extract and prioritize:

Primary Keywords (must include):

• Job title (exact match)
• Top 5 required skills
• Required certifications
• Industry/domain terms

Secondary Keywords (should include):

• Preferred skills
• Technology stack specifics
• Methodology terms (Agile, Scrum)

Long-tail Keywords (nice to have):

• Specific tools mentioned
• Soft skills emphasized
• Cultural values expressed

3. Tailoring Levels

LIGHT Tailoring (match >80%)

• Time: 15 minutes
• Reorder skills to match job priority
• Add 2-3 missing keywords to summary
• Ensure job title alignment
• Risk: None

MEDIUM Tailoring (match 60-80%)

• Time: 30 minutes
• Rewrite summary with top keywords
• Add skills section entries
• Emphasize relevant experience bullets
• Add 1-2 relevant projects
• Risk: Low

AGGRESSIVE Tailoring (match 50-65%)

• Time: 1 hour
• Complete summary rewrite
• Restructure skills by relevance
• Modify experience bullets with keywords
• Add quantifiable metrics
• Create variant resume
• Risk: Medium (over-optimization possible)

4. ATS Optimization Checklist

Before submitting, verify:

Format:

• Single-column layout
• Standard fonts (Arial, Calibri, Georgia)
• No tables, columns, text boxes
• No headers/footers (info gets lost)
• PDF or DOCX (DOCX preferred for ATS)
• No images or graphics

Structure:

• Contact info at top (not in header)
• Standard section headers
• Reverse chronological order
• Consistent date format (Month YYYY)
• 1-2 pages maximum

Content:

• Word count 400-800
• 5+ quantifiable achievements
• Action verbs at bullet start
• No buzzwords/clichés
• Keywords in first 1/3 of resume

Keywords:

• Keyword density 2-4%
• Both acronyms and full forms (AWS/Amazon Web Services)
• Skills in dedicated section
• Keywords in summary
• Exact match for proper nouns

5. Application Batch Strategy

For job search campaigns:

Daily:

• Apply to 5-10 jobs (quality over quantity)
• Track applications in spreadsheet
• Follow up on week-old applications

Weekly:

• Review which resumes got responses
• A/B test resume variants
• Adjust keyword strategy based on results

Monthly:

• Analyze conversion rates
• Update master resume with new achievements
• Refresh networking outreach

Tool Integration

This skill works with:

cv-creator-mcp:

analyze_job → score_match → suggest_tailoring → score_ats

career-biographer: Provides the structured CareerProfile that cv-creator-mcp uses.

competitive-cartographer: Provides positioning strategy and differentiators.

Example Workflow: Alex Chen

## Job: Senior Backend Engineer at TechCorp

### Step 1: Analyze Job
- Required: Go, Kubernetes, PostgreSQL, 5+ years
- Preferred: Kafka, gRPC, AWS
- Signals: Remote-friendly ✓, Equity ✓

### Step 2: Score Match
- Overall: 78/100 (GOOD_MATCH)
- Matched: Go, Kubernetes, PostgreSQL, Kafka, gRPC
- Missing: None critical
- Gap: 0 years (8 > 5 required)

### Step 3: Recommendation
- Apply: YES
- Tailoring Level: LIGHT
- Estimated Time: 15 minutes

### Step 4: Tailoring Actions
1. Reorder skills: Go first, then K8s, PostgreSQL
2. Add to summary: "Specialized in event-driven microservices"
3. Ensure "Senior Backend Engineer" exact match in headline

### Step 5: ATS Check
- Score: 85/100 ✓
- Quick wins: Add AWS certification date

### Step 6: Apply
- Resume: alex-chen-techcorp-v1.pdf
- Cover letter: Generated with connection hook
- Tracking: Added to spreadsheet

Common Mistakes to Avoid

1. Keyword Stuffing - >4% density triggers spam filters
2. Generic Resume - Same resume for every application
3. Ignoring ATS - Pretty resumes that machines can't read
4. Over-tailoring - Claims that can't be backed up
5. Skipping Cover Letter - Many ATS weight it heavily
6. Wrong File Format - PNG/JPG images of resumes
7. Missing Contact - Email in header that ATS loses

Metrics to Track

Output Artifacts

When optimizing, produce:

1. Match Analysis Report

- Score breakdown - Matched/missing keywords - Gaps and recommendations

1. Tailored Resume

- Modified summary - Reordered skills - Keyword-optimized bullets

1. Cover Letter

- Job-specific opening - Achievement highlights - Keywords integrated

1. Application Tracker Entry

- Date applied - Version used - ATS score - Follow-up date