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Job Application Optimizer Skill for Claude

Strategic job application planning and Resume SEO optimization. Approaches applications like marketing campaigns with market research, opportunity qualification, and content optimization. Activate on 'optimize resume', 'tailor resume', 'ATS optimization', 'job fit score', 'should I apply'. NOT for initial career narratives (career-biographer), portfolio design (cv-creator), or market positioning (competitive-cartographer).

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
177
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/curiositech/some_claude_skills --skill job-application-optimizer

The instruction itself

14 sections, as written by the author

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:

| SEO Concept | Resume Equivalent |

|-------------|-------------------|

| Search query | Job description |

| Web page | Resume |

| Keywords | Skills & requirements |

| Meta description | Professional summary |

| H1 heading | Job title/headline |

| Content quality | Achievement metrics |

| Keyword density | Skills frequency (2-4% optimal) |

| Backlinks | Referrals & endorsements |

| Page speed | Scan time (<6 seconds) |

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

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

Metrics to Track

| Metric | Target | Alex Chen Example |

|--------|--------|-------------------|

| Applications/week | 20-30 | 25 |

| Response rate | >10% | 16% |

| Interview rate | >5% | 8% |

| Offer rate | >2% | 4% |

| ATS pass rate | >80% | 92% |

| Avg match score | >70% | 78% |

Output Artifacts

When optimizing, produce:

  • Match Analysis Report
  • Score breakdown
  • Matched/missing keywords
  • Gaps and recommendations
  • Tailored Resume
  • Modified summary
  • Reordered skills
  • Keyword-optimized bullets
  • Cover Letter
  • Job-specific opening
  • Achievement highlights
  • Keywords integrated
  • Application Tracker Entry
  • Date applied
  • Version used
  • ATS score
  • Follow-up date

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How to use it

Copy the folder

Take curiositech/job-application-optimizer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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