Generate professional PDF resumes from structured data or JSON. Multiple templates, ATS-friendly output, and customizable sections.
Scanned 2/12/2026
Install via CLI
openskills install dkyazzentwatwa/chatgpt-skills---
name: resume-builder
description: Generate professional PDF resumes from structured data or JSON. Multiple templates, ATS-friendly output, and customizable sections.
---
# Resume Builder
Create professional PDF resumes from structured data with multiple template styles. Supports JSON input, customizable sections, and ATS-friendly formatting.
## Quick Start
```python
from scripts.resume_builder import ResumeBuilder
# Build resume programmatically
resume = ResumeBuilder()
resume.set_contact("John Smith", "john@email.com", "555-123-4567", "San Francisco, CA")
resume.set_summary("Experienced software engineer with 5+ years...")
resume.add_experience("Software Engineer", "Tech Corp", "2020-Present", [
"Led development of microservices architecture",
"Improved system performance by 40%"
])
resume.add_education("B.S. Computer Science", "State University", "2019")
resume.add_skills(["Python", "JavaScript", "AWS", "Docker"])
resume.generate().save("resume.pdf")
# From JSON
resume = ResumeBuilder.from_json("resume_data.json")
resume.generate().save("resume.pdf")
```
## Features
- **Multiple Templates**: Modern, classic, minimal, executive styles
- **ATS-Friendly**: Clean formatting that passes applicant tracking systems
- **Customizable Sections**: Experience, education, skills, projects, certifications
- **Flexible Input**: Python API or JSON data
- **Professional Output**: Clean PDF with proper typography
- **Links**: Clickable URLs for portfolio, LinkedIn, GitHub
## API Reference
### Initialization
```python
resume = ResumeBuilder()
resume = ResumeBuilder(template="modern")
resume = ResumeBuilder.from_json("data.json")
resume = ResumeBuilder.from_dict(data)
```
### Contact Information
```python
# Basic contact
resume.set_contact(
name="John Smith",
email="john@email.com",
phone="555-123-4567",
location="San Francisco, CA"
)
# With links
resume.set_contact(
name="John Smith",
email="john@email.com",
phone="555-123-4567",
location="San Francisco, CA",
linkedin="linkedin.com/in/johnsmith",
github="github.com/johnsmith",
website="johnsmith.dev"
)
```
### Summary/Objective
```python
# Professional summary
resume.set_summary(
"Experienced software engineer with 5+ years building scalable "
"web applications. Passionate about clean code and mentoring."
)
# Or objective statement
resume.set_objective(
"Seeking a senior engineering role where I can leverage my "
"expertise in distributed systems and cloud architecture."
)
```
### Work Experience
```python
# Add experience entry
resume.add_experience(
title="Senior Software Engineer",
company="Tech Corporation",
dates="Jan 2020 - Present",
bullets=[
"Led team of 5 engineers in developing microservices architecture",
"Reduced API response time by 60% through optimization",
"Implemented CI/CD pipeline reducing deployment time by 80%"
],
location="San Francisco, CA" # Optional
)
# Multiple entries
resume.add_experience("Software Engineer", "Startup Inc", "2018-2020", [
"Built real-time notification system serving 1M+ users",
"Developed RESTful APIs using Python and FastAPI"
])
```
### Education
```python
# Add education
resume.add_education(
degree="Bachelor of Science in Computer Science",
school="State University",
year="2018",
gpa="3.8", # Optional
honors="Magna Cum Laude" # Optional
)
# With coursework
resume.add_education(
degree="M.S. Data Science",
school="Tech University",
year="2020",
coursework=["Machine Learning", "Statistical Analysis", "Big Data"]
)
```
### Skills
```python
# Simple skills list
resume.add_skills(["Python", "JavaScript", "React", "AWS", "Docker"])
# Categorized skills
resume.add_skills({
"Languages": ["Python", "JavaScript", "Go", "SQL"],
"Frameworks": ["React", "Django", "FastAPI"],
"Tools": ["Docker", "Kubernetes", "AWS", "Git"]
})
```
### Projects
```python
# Add project
resume.add_project(
name="Open Source Library",
description="Data validation library with 1000+ GitHub stars",
technologies=["Python", "PyPI"],
url="github.com/user/project" # Optional
)
```
### Certifications
```python
resume.add_certification("AWS Solutions Architect", "Amazon", "2023")
resume.add_certification("Professional Scrum Master", "Scrum.org", "2022")
```
### Additional Sections
```python
# Languages
resume.add_languages(["English (Native)", "Spanish (Fluent)", "French (Basic)"])
# Volunteer experience
resume.add_volunteer(
role="Tech Mentor",
organization="Code for Good",
dates="2021 - Present",
description="Mentor underrepresented students in programming"
)
# Publications
resume.add_publication(
title="Scaling Microservices",
venue="Tech Blog",
year="2023",
url="blog.com/article"
)
# Custom section
resume.add_custom_section("Awards", [
"Employee of the Year 2022",
"Hackathon Winner - Best Innovation"
])
```
### Templates and Styling
```python
# Set template
resume.set_template("modern") # Clean, contemporary
resume.set_template("classic") # Traditional, formal
resume.set_template("minimal") # Simple, ATS-optimized
resume.set_template("executive") # Premium, senior roles
# Custom colors
resume.set_colors(
primary="#2563eb", # Headers
text="#333333" # Body text
)
# Margins
resume.set_margins(top=0.5, bottom=0.5, left=0.6, right=0.6)
```
### Generation
```python
# Generate and save
resume.generate().save("resume.pdf")
# Get PDF bytes
pdf_bytes = resume.to_bytes()
```
## Data Formats
### JSON Format
```json
{
"contact": {
"name": "John Smith",
"email": "john@email.com",
"phone": "555-123-4567",
"location": "San Francisco, CA",
"linkedin": "linkedin.com/in/johnsmith",
"github": "github.com/johnsmith"
},
"summary": "Experienced software engineer...",
"experience": [
{
"title": "Senior Software Engineer",
"company": "Tech Corp",
"dates": "2020 - Present",
"location": "San Francisco, CA",
"bullets": [
"Led development of microservices",
"Improved performance by 40%"
]
}
],
"education": [
{
"degree": "B.S. Computer Science",
"school": "State University",
"year": "2018",
"gpa": "3.8"
}
],
"skills": {
"Languages": ["Python", "JavaScript"],
"Frameworks": ["React", "Django"]
},
"projects": [
{
"name": "Open Source Tool",
"description": "Description here",
"technologies": ["Python"],
"url": "github.com/project"
}
],
"certifications": [
{
"name": "AWS Certified",
"issuer": "Amazon",
"year": "2023"
}
]
}
```
## CLI Usage
```bash
# From JSON file
python resume_builder.py --input resume.json --output resume.pdf
# With template
python resume_builder.py --input data.json --template modern --output resume.pdf
# Quick resume (interactive prompts)
python resume_builder.py --quick --output resume.pdf
```
### CLI Arguments
| Argument | Description | Default |
|----------|-------------|---------|
| `--input` | Input JSON file | Required |
| `--output` | Output PDF path | `resume.pdf` |
| `--template` | Template style | `modern` |
## Templates
### Modern
- Clean sans-serif typography
- Blue accent color
- Clear section headers
- Good for tech roles
### Classic
- Traditional serif fonts
- Black and gray colors
- Formal layout
- Good for traditional industries
### Minimal
- Maximum ATS compatibility
- Simple formatting
- No colors or graphics
- Best for online applications
### Executive
- Premium appearance
- Elegant typography
- Subtle accents
- Good for senior roles
## Best Practices
1. **Keep it concise**: 1 page for <10 years experience, 2 pages max
2. **Use action verbs**: "Led", "Developed", "Improved", "Achieved"
3. **Quantify achievements**: "Increased sales by 25%", "Managed team of 8"
4. **Tailor to job**: Customize skills and summary for each application
5. **ATS-friendly**: Use standard section headers, avoid tables/graphics
## Dependencies
```
reportlab>=4.0.0
Pillow>=10.0.0
```
## Limitations
- PDF output only
- English language optimized
- Maximum 2 pages
- No photo support (ATS best practice)
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