resume-ats-optimizer

---name: Resume ATS Optimizer description: Optimize resumes for Applicant Tracking Systems, check ATS compatibility, and analyze keyword match

version: 2.0.0 author: Eric Andrade category: career risk: safe platforms: [github-copilot, claude-code, codex, opencode, gemini, antigravity, cursor, adal]

Resume ATS Optimizer

When to Use This Skill

Use this skill when the user wants to:

• Optimize their resume for Applicant Tracking Systems (ATS)
• Check if their resume will pass automated screening
• Understand why their applications aren't getting responses
• Mentions keywords like: "ATS", "not getting interviews", "resume not working", "optimize resume", "keyword optimization"

Also use when the user provides a resume file and mentions they're applying to jobs.

Core Capabilities

• Parse resume and test ATS compatibility
• Extract and analyze keywords against job descriptions
• Identify formatting issues that break ATS parsers
• Calculate match scores between resume and job postings
• Suggest keyword additions and placements
• Generate ATS-friendly formatting recommendations

The ATS Problem

75% of resumes are rejected by Applicant Tracking Systems before a human ever sees them. Companies use ATS to:

• Filter out unqualified candidates automatically
• Search for specific keywords from job requirements
• Parse resumes into structured data
• Rank candidates by keyword match percentage

Common reasons resumes fail ATS:

1. Poor formatting (tables, columns, headers/footers)
2. Missing keywords from job description
3. Inconsistent section headers
4. Non-standard fonts or special characters
5. Text embedded in images
6. Incorrect file format

ATS Compatibility Checklist

File Format

• ✅ Use .docx or .pdf (not .pages, .odt)
• ✅ PDF must be text-based, not scanned image
• ✅ File name: "FirstName_LastName_Resume.pdf"

Font & Formatting

• ✅ Standard fonts: Arial, Calibri, Georgia, Times New Roman
• ✅ Font size: 10-12pt for body, 14-16pt for headers
• ✅ No text boxes, tables, or columns
• ✅ No headers/footers (put contact info in body)
• ✅ No images, graphics, or charts
• ✅ Consistent date formats (MM/YYYY)
• ✅ Standard bullet points (•, -, *)

Section Headers

Use standard, recognizable headers:

• ✅ "Professional Experience" or "Work Experience" (not "Where I've Been")
• ✅ "Education" (not "Academic Background")
• ✅ "Skills" (not "Core Competencies")
• ✅ "Summary" or "Professional Summary"

Contact Information

John Smith
email@example.com | (555) 123-4567 | LinkedIn: linkedin.com/in/johnsmith
San Francisco, CA

NOT in header/footer, and avoid:

• ❌ Tables for contact info
• ❌ Special characters in email
• ❌ Multiple phone numbers
• ❌ Full mailing address (city/state is enough)

Keyword Optimization Process

Step 1: Extract Job Description Keywords

Identify three types of keywords:

Hard Skills (Technical)

• Programming languages (Python, Java, SQL)
• Tools and platforms (Salesforce, AWS, Excel)
• Certifications (PMP, CPA, CFA)
• Methodologies (Agile, Six Sigma, SDLC)

Soft Skills

• Leadership, collaboration, communication
• Problem-solving, analytical thinking
• Project management, stakeholder management

Industry Terms

• B2B, SaaS, e-commerce
• Enterprise, SMB, mid-market
• ARR, MRR, churn rate

Step 2: Match Analysis

For each keyword in job description:

1. Check if exact phrase appears in resume
2. Check for synonyms or variations
3. Count frequency of mention
4. Note location (summary, experience, skills)

Parallel ATS Analysis

Launch all analyzers simultaneously in one block:

Agent	Role
HardSkillsAnalyzer	Extract hard skills from JD, find matches in resume, calculate % match, identify critical gaps
SoftSkillsAnalyzer	Extract soft skills from JD, find phrasing matches in resume, suggest natural insertion points
IndustryAnalyzer	Extract domain vocabulary and industry terms from JD, check resume density, suggest insertions
FormattingAuditor	Check file format compatibility, header tag structure, fonts, spacing, and tables for ATS parse issues
KeywordDensityChecker	Calculate keyword density per resume section, flag over/under-optimization, suggest optimal placement

Each agent prompt begins with: # {AgentName} — ATS Optimization Agent Input: Full resume text + Full job description text.

Wait for all five to complete. Compute overall ATS match score from weighted sub-scores. Generate prioritized optimization plan.

Step 3: Calculate Match Score

Match Score = (Keywords Matched / Total Required Keywords) × 100

Example:
Job has 20 required keywords
Your resume has 15 of them
Match Score = 75%

Target: 80%+ for strong match

Step 4: Keyword Placement Strategy

Priority 1: Professional Summary (Top of Resume)

• Include 5-8 most important keywords
• Use naturally in 3-4 sentence paragraph
• Example: "Data Scientist with 5+ years using Python, SQL, and machine learning to drive business insights..."

Priority 2: Skills Section

• List keywords explicitly
• Group by category if needed
• Use exact phrasing from job description

Priority 3: Experience Bullets

• Incorporate keywords into achievement statements
• Don't force keywords unnaturally
• Use variations throughout

Keyword Density Guidelines:

• Critical keywords: Appear 2-4 times throughout resume
• Important keywords: Appear 1-2 times
• Don't keyword stuff - keep it natural
• Vary phrasing (e.g., "led team" and "team leadership")

Progress Tracking

Display progress before each ATS optimization phase:

[████░░░░░░░░░░░░░░░░] 25% — Phase 1/4: Scanning for ATS Issues
[████████░░░░░░░░░░░░] 50% — Phase 2/4: Keyword Matching & Gap Analysis
[████████████░░░░░░░░] 75% — Phase 3/4: Applying Optimizations
[████████████████████] 100% — Phase 4/4: Delivering ATS-Optimized Resume

Analysis Output Format

When analyzing a resume, provide this structured report:

# ATS COMPATIBILITY REPORT

## Overall Score: [X]/100

### File Format Check ✅/❌
- Format: [DOCX/PDF]
- Text extraction: [Success/Failed]
- File size: [X KB/MB]

### Formatting Issues
✅ No tables or columns detected
❌ Contact info in header (move to body)
⚠️  Two different font sizes in skills section

### Keyword Analysis

JOB REQUIREMENTS vs YOUR RESUME:

**Critical Keywords (Must Have):**
✅ Project Management - Found 3x
✅ Agile/Scrum - Found 2x
❌ Stakeholder Management - MISSING (mentioned 5x in JD)
❌ Budget Management - MISSING (mentioned 3x in JD)

**Important Keywords:**
✅ Cross-functional teams - Found 1x
⚠️  "Risk management" - You have "risk mitigation" (close but not exact match)
✅ Process improvement - Found 2x

**Match Score: 65%**
Target: 80%+ recommended

### Recommended Changes

**1. Add Missing Keywords:**

In Professional Summary, change:
"Experienced project manager with proven track record..."

To:
"Experienced project manager with proven track record in stakeholder management and budget oversight..."

In Experience section, add bullet:
"Managed stakeholder communication across 3 departments and executive leadership team"
"Directed budget management for $2.5M project portfolio"

**2. Fix Formatting:**
- Move contact information from header to body of resume
- Make all skill section items same font size (currently 10pt and 11pt mixed)

**3. Strengthen Existing Keywords:**
Change "risk mitigation" to "risk management" for exact match

### Estimated New Match Score: 85%

Common ATS Failure Patterns

Pattern 1: Creative Formatting

❌ PROBLEM:
[Two-column layout with graphics]
[Skill bars and proficiency charts]
[Text in colored boxes]

✅ SOLUTION:
- Single column layout
- Text-only skills list
- Simple bullet points

Pattern 2: Unconventional Section Names

❌ PROBLEM:
"My Journey" (instead of Experience)
"What I Bring to the Table" (instead of Skills)
"Academic Pursuits" (instead of Education)

✅ SOLUTION:
Use standard headers ATS recognizes

Pattern 3: Missing Keywords

❌ PROBLEM:
Job requires: "Python, SQL, Data Visualization"
Resume says: "Programming, databases, making charts"

✅ SOLUTION:
Use exact terminology from job description

Pattern 4: Keyword Stuffing

❌ PROBLEM:
Skills: Python, Python programming, Python developer, Python expert, Python specialist, Advanced Python...

✅ SOLUTION:
Skills: Python, SQL, JavaScript, React, Node.js
(Then incorporate naturally in bullets)

Industry-Specific Considerations

Tech Resumes

• Emphasize programming languages and frameworks
• Include GitHub, portfolio links in Skills section (not header)
• Certifications and courses matter highly

Business/Finance

• Focus on software proficiency (Excel, SAP, Salesforce)
• Certifications critical (CPA, CFA, PMP)
• Industry keywords (P&L, ROI, KPI)

Healthcare

• Licenses and certifications required
• Specific systems (Epic, Cerner, MEDITECH)
• Compliance keywords (HIPAA, Joint Commission)

Marketing

• Platform expertise (HubSpot, Salesforce, Google Analytics)
• Channel keywords (SEO, PPC, email marketing)
• Metrics and results-driven language

Edge Cases & Special Situations

Career Changers

• Focus on transferable skills
• Use keywords from TARGET industry, not just current
• May need two resume versions for ATS

Recent Graduates

• Education section becomes priority for keywords
• Include relevant coursework, projects
• Internships count as experience - use those keywords

Executive Level

• ATS still matters for senior roles
• Focus on strategic keywords
• Include board experience, P&L size, team size

Gaps in Employment

• Use years only (not months) if it helps
• Include freelance/consulting with keywords
• Volunteer work can include relevant keywords

Implementation Checklist

When helping user optimize for ATS:

1. ✅ Scan current resume for ATS compatibility issues
2. ✅ Analyze job description for required keywords
3. ✅ Calculate current match score
4. ✅ Identify specific missing keywords
5. ✅ Suggest exact placements for new keywords
6. ✅ Flag formatting problems
7. ✅ Provide before/after examples
8. ✅ Re-score after suggested changes
9. ✅ Verify file format and naming
10. ✅ Test with ATS simulator if possible

Success Metrics

After optimization, the resume should:

• Score 80%+ match for target job descriptions
• Pass ATS parsing test (all sections recognized)
• Have zero formatting errors
• Include all critical keywords 2-4x each
• Read naturally (not keyword-stuffed)
• Be ready to submit immediately