rully-saputra15/software-engineer-resume-refactor

This repository is a collection of Agent Skills, small packaged instruction sets that AI coding assistants like Claude Code and Cursor can install and follow. Its purpose is to help software engineers improve their resumes to meet the hiring bar at top tech companies, while keeping the underlying facts on the resume truthful. Right now it contains one skill, called frontend-resume-refactor. According to the README, this skill reviews a resume, scores it, and rewrites it against a verified single column template. It applies the Google style XYZ bullet point formula for describing work accomplishments, checks for compatibility with applicant tracking systems that many companies use to filter resumes, and draws on research based playbooks tailored to specific companies. The skill follows an open format called the Agent Skills specification, which means it is not tied to one specific AI tool. Users install it by running a command line tool called skills, either into a single project or globally so it is available everywhere. Once the repository is public, a site called skills.sh can automatically index it so other people can discover and install it too, and running the install once yourself helps it get indexed sooner. The README also includes short instructions for maintainers on how to publish the skill through skills.sh, which mainly involves making the repository public and optionally adding discovery tags. The project is released under the MIT license.