Resume Optimizer

Build professional, ATS-optimized resumes with PDF export capabilities.

Capabilities

Create Resumes - Build new resumes from user information with professional formatting
Customize Resumes - Tailor existing resumes for specific roles or per user requests
Analyze Resumes - Review resumes and provide actionable improvement recommendations
Export to PDF - Generate downloadable, ATS-friendly PDF documents

Workflow Decision Tree

Creating a New Resume

Gather user information (experience, education, skills, target role)
Select appropriate format (see format selection guide below)
Read
```
references/templates.md
```
for the chosen template
Build resume content following
```
references/best-practices.md
```
Generate PDF using
```
scripts/generate_resume_pdf.py
```

Customizing an Existing Resume

Review the provided resume content
Understand the target role/changes requested
Read
```
references/ats-optimization.md
```
for keyword integration
Apply modifications following best practices
Generate updated PDF

Analyzing a Resume

Parse the resume content
Check against criteria in
```
references/analysis-checklist.md
```
Identify strengths and improvement areas
Provide specific, actionable recommendations
Optionally offer to implement changes

Format Selection Guide

Chronological (Most Common)

Use for: Consistent work history in same field, clear career progression
Best for: Most professionals staying in their field
Read:
```
references/templates.md
```
→ Chronological Template section

Functional

Use for: Career changers, employment gaps, emphasizing transferable skills
Best for: Returning to workforce, diverse experience across fields
Read:
```
references/templates.md
```
→ Functional Template section

Combination

Use for: Mid-career professionals balancing skills and progression
Best for: Diverse skill sets, career changers with relevant experience
Read:
```
references/templates.md
```
→ Combination Template section

PDF Generation

Use the provided script to create professional PDFs:

python3 scripts/generate_resume_pdf.py \
  --input resume_content.json \
  --output resume.pdf \
  --format chronological

The script uses reportlab to create clean, ATS-compatible PDFs with:

Professional typography (Helvetica)
Proper margins and spacing (0.75" all sides)
Clean section headers
Bullet point formatting
Consistent visual hierarchy

Essential References

Before creating any resume, read:

```
references/best-practices.md
```
- Core resume writing principles
```
references/ats-optimization.md
```
- ATS compatibility requirements
```
references/templates.md
```
- Format-specific templates

Before analyzing a resume, read:

```
references/analysis-checklist.md
```
- Evaluation criteria and scoring

Quick Start Examples

Creating a resume:

User: "Help me build a resume. I have 5 years in marketing."
Steps:

Gather: Current role, key achievements, education, certifications
Format: Chronological (clear progression in same field)
Build: Use template from references/templates.md
Keywords: Integrate from job description per ats-optimization.md
Export: Generate PDF to /mnt/user-data/outputs/

Tailoring for a role:

User: "Tailor my resume for this job [job description]"
Steps:

Parse job description for required skills/keywords
Identify gaps between resume and requirements
Reorder bullets to lead with relevant achievements
Integrate keywords naturally throughout
Update summary to mirror key requirements
Generate updated PDF

Analyzing a resume:

User: "Review my resume and tell me how to improve it"
Steps:

Read references/analysis-checklist.md
Evaluate each section against criteria
Score: Content, Format, ATS-compatibility
Identify top 3-5 priority improvements
Provide specific rewrite examples
Offer to implement changes

Output Requirements

All generated resumes must:

Be saved to
```
/mnt/user-data/outputs/
```
for user download
Use descriptive filenames:
```
FirstName_LastName_Resume.pdf
```
Include a download link using
```
computer://
```
protocol
Follow ATS-friendly formatting (no tables, text boxes, or graphics)

Code Style

When generating Python scripts for PDF creation:

Use reportlab for PDF generation
Keep code concise and functional
Handle errors gracefully
Test output before delivering to user

Resume Optimizer

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Resume Optimizer

Capabilities

Workflow Decision Tree

Creating a New Resume

Customizing an Existing Resume

Analyzing a Resume

Format Selection Guide

PDF Generation

Essential References

Quick Start Examples

Output Requirements

Code Style

Quick Start

Manual Installation

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