Resume

Resume

Generate professional resumes with incipit. The agent writes structured JSON matching the schema, then the CLI renders it into polished output.

Setup

Install the CLI if incipit is not on PATH:

curl -fsSL https://raw.githubusercontent.com/urmzd/incipit/main/install.sh | bash
export PATH="$HOME/.local/bin:$PATH"

Verify: incipit --version

Schema

Get the full JSON Schema for resume data:

incipit generate --schema

Use this schema to write or validate resume JSON files directly.

Resume JSON Structure

Required fields: contact.name, contact.email, skills, experience, education.

Date formats: "2024" (year), "2024-01" (month), "2024-01-15T00:00:00Z" (full).

{
  "contact": {
    "name": "Jane Doe",
    "email": "jane@example.com",
    "phone": "+1-555-0100",
    "location": { "city": "San Francisco", "state": "CA", "country": "USA" },
    "links": [
      { "uri": "https://linkedin.com/in/janedoe", "label": "LinkedIn" },
      { "uri": "https://github.com/janedoe", "label": "GitHub" }
    ]
  },
  "summary": "Senior software engineer with 8 years of experience...",
  "skills": {
    "title": "Technical Skills",
    "categories": [
      { "category": "Languages", "items": ["Go", "Python", "TypeScript"] },
      { "category": "Infrastructure", "items": ["AWS", "Kubernetes", "Terraform"] }
    ]
  },
  "experience": {
    "title": "Experience",
    "positions": [
      {
        "company": "Acme Corp",
        "title": "Senior Software Engineer",
        "employment_type": "Full-time",
        "highlights": [
          "Reduced API latency by 40% by migrating to a distributed cache layer serving 2M daily requests",
          "Led a team of 4 engineers to deliver a real-time analytics pipeline processing 500K events/sec"
        ],
        "dates": { "start": "2022-01" },
        "location": { "city": "San Francisco", "state": "CA" },
        "technologies": ["Go", "Redis", "Kafka"]
      }
    ]
  },
  "education": {
    "title": "Education",
    "institutions": [
      {
        "institution": "MIT",
        "degree": { "name": "B.S. Computer Science", "descriptions": ["Dean's List"] },
        "gpa": { "gpa": "3.8", "max_gpa": "4.0" },
        "dates": { "start": "2014-09", "end": "2018-05" },
        "location": { "city": "Cambridge", "state": "MA" }
      }
    ]
  },
  "projects": {
    "title": "Projects",
    "projects": [
      {
        "name": "OpenTracer",
        "highlights": ["Distributed tracing library with 2K GitHub stars"],
        "link": { "uri": "https://github.com/janedoe/opentracer" },
        "technologies": ["Go", "gRPC"]
      }
    ]
  },
  "certifications": {
    "title": "Certifications",
    "items": [
      { "name": "AWS Solutions Architect", "issuer": "Amazon", "date": "2023-06" }
    ]
  },
  "languages": {
    "title": "Languages",
    "languages": [
      { "name": "English", "proficiency": "Native" },
      { "name": "Spanish", "proficiency": "Professional" }
    ]
  }
}

CLI Commands

Generate output

incipit generate resume.json -t modern-html          # HTML -> PDF
incipit generate resume.json -t modern-latex          # LaTeX -> PDF
incipit generate resume.json -t modern-docx           # Word document
incipit generate resume.json -t modern-markdown       # Markdown file
incipit generate resume.json                          # All templates
incipit generate resume.json -t modern-html -o ./out  # Custom output dir
incipit generate resume.json --dry-run                # Validate without generating

Schema

incipit generate --schema

List templates

incipit templates list

AI commands

Each command prints a self-contained LLM prompt to stdout — no API keys needed. As an agent, you can run the command and follow the printed prompt yourself, or the user can pipe it to any LLM.

# Prompt to convert plain text into structured resume JSON (schema embedded)
incipit ai create resume.txt

# Prompt to review and score a resume
incipit ai review resume.json

# Prompt to optimize for a job description
incipit ai optimize resume.json -j "Senior Go developer..."
incipit ai optimize resume.json -j job-description.txt

Available Templates

Writing Good Resume Content

When creating or improving resume highlights, follow these guidelines:

• Quantify: use numbers, percentages, dollar amounts, team sizes, timeframes
• XYZ formula: "Accomplished [X] as measured by [Y], by doing [Z]"
• Action verbs: start each bullet with a strong verb (Led, Built, Reduced, Designed, Migrated)
• Concise: 1-2 lines per bullet point max
• Specific: reference technologies, methodologies, and concrete outcomes
• No fabrication: only include data supported by the user's actual experience

Workflow

1. Get the schema: incipit generate --schema
2. Write resume.json matching the schema (the agent does this directly)
3. Validate: incipit generate resume.json --dry-run
4. Generate: incipit generate resume.json -t modern-html