Menu
Generate ATS-optimized CVs in Markdown and PDF format.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Dual-model adversarial review: local and delegated reviewers audit independently, verdicts are synthesized.
Implement the SDD task list. Read tasks and design from memory, write code, run tests.
Archive all SDD artifacts for a change as a single completed record in memory.
Write the technical design for a planned change: components, interfaces, data flows, edge cases.
Explore the codebase to build context for a planned change. First phase of the SDD workflow.
Propose 2–3 solution approaches for a planned change, evaluating trade-offs and recommending one.
| 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"] |
Generate tailored CVs using career data from the knowledge base.
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.
load_career_data_for_cv()load_profile()fu7ur3pr00f.generators.save_cv_markdown(content, filename)python scripts/generate/render_cv.py path/to/cv.md--language es~/.fu7ur3pr00f/data/output/cv.md — markdown source~/.fu7ur3pr00f/data/output/cv.pdf — ATS-optimized PDFweasyprint for PDF renderinglibpango, libcairo system libs for PDF