What problem does it solve?
It solves the problem of writing a resume that is tightly aligned to a specific job by using concrete evidence from job posts and your GitHub/local artifacts, while still compressing everything into a single A4 page for LLM/ATS and HR fast scanning.
Core Features & Use Cases
- Job-keyword first drafting: Extracts role title, seniority signals, hard requirements, and technology/keyword demands from the target job post, then mirrors them in a natural way for LLM/ATS screening.
- Evidence-grounded project selection: Ranks and selects the strongest GitHub/local evidence (README, docs, agent/skill workflow files, code/tests) and avoids listing everything.
- A4 one-page compression for easyCV YAML: Writes optimized fields for easyCV-style YAML (e.g., basics.position, personal_docs.summary, personal_projects, lab_tutorials) and verifies density so the result fits one page.
Quick Start
Use the generate-resume skill to tailor your easyCV YAML by providing the job URL and your GitHub username, using your local repository evidence to produce an A4 one-page resume.