extract-resume

Purpose

Extract structured data from an existing resume DOCX file and organize it into the resume tailoring repository format.

Process

When this skill is invoked, guide the user through the extraction process:

1. •

   Confirm source file: Identify the DOCX resume file to extract (check source/ directory)

2. •

   Run extraction script: Execute the extraction Python script:

   bash

   python3 scripts/extract_resume.py \
     --input source/[filename].docx \
     --output-base source/base-resume.yaml \
     --output-experiences data/experiences/
   

3. •

   Review extracted data:

   • •Show the user what was extracted
   • •Read and display a sample experience file
   • •Read the base-resume.yaml to verify basics were captured
4. •

   Guide enhancement:

   • •Explain that experience files need manual enhancement
   • •Point out where to add:
     • •Keywords for each experience
     • •Priority levels
     • •Relevant_for tags (which resume versions)
     • •Better summaries for each role
5. •

   Next steps:

   • •Suggest reviewing and enhancing the experience files
   • •Recommend organizing skills if needed
   • •Explain they can now use analyze-job skill for job applications

Interactive Guidance

Ask the user:

• •"I found a resume file at source/[filename].docx. Should I extract data from this file?"
• •After extraction: "I've created [N] experience files. Would you like me to show you one so you can see what to enhance?"
• •"The extraction is complete! Your next step is to review and enhance the experience files in data/experiences/. Would you like help with that now, or are you ready to analyze a job description?"

Validation

After extraction, verify:

• •source/base-resume.yaml exists and contains basics (name, email, etc.)
• •Experience files were created in data/experiences/
• •Each experience file has frontmatter with metadata
• •User understands next steps for enhancement