career-cv

name	career-cv
description	Generate ATS-optimized CVs in Markdown and PDF format.
compatibility	opencode
when_to_use	When the user wants to create or update their CV/resume.
model	high
user-invocable	false
hub-skill-ids	["career-intelligence","generation"]
allowed-tools	["Bash","Read","Write"]

Skill: Career CV

Generate tailored CVs using career data from the knowledge base.

Prerequisites

Career data must be gathered first. Verify:

from fu7ur3pr00f.utils.data_loader import load_career_data_for_cv
data = load_career_data_for_cv()

If empty, tell the user to run /gather first.

CV Generation

1. Load career data via load_career_data_for_cv()
2. Load profile via load_profile()
3. Generate CV content in Markdown using your LLM:
   • Professional summary aligned with target role
   • Experience (from LinkedIn/CV data)
   • Skills (technical + soft)
   • Education & certifications
   • Projects & achievements
4. Save markdown: use fu7ur3pr00f.generators.save_cv_markdown(content, filename)
5. Render PDF: python scripts/generate/render_cv.py path/to/cv.md

ATS Optimization Rules

• Use standard section headers (Experience, Education, Skills)
• Include keywords from target job descriptions naturally
• No tables, columns, or images
• Clean, simple formatting
• Quantify achievements with numbers

Languages

• English: default
• Spanish: --language es

Output

• ~/.fu7ur3pr00f/data/output/cv.md — markdown source
• ~/.fu7ur3pr00f/data/output/cv.pdf — ATS-optimized PDF

Dependencies

• weasyprint for PDF rendering
• libpango, libcairo system libs for PDF