by KevinYoung-Kw · Codex Skill · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AI 简历生成与排版 Skill｜12 套可投递 HTML/PDF 模板。AI resume builder for creating, updating and tailoring resumes to any JD via Codex, Claude Code, Cursor & Trae.
| Stars | 62 |
| Forks | 2 |
| Language | HTML |
| Category | Codex Skill |
| Quality Score | 54.2963281311495/100 |
| Last Updated | 2026-09-01 |
| Created | 2026-07-08 |
| Platforms | claude-code, codex |
| Est. Tokens | ~15k |
These tools work well together with vibe-resume-skill for enhanced workflows:
Looking for a vibe-resume-skill alternative? If you're comparing vibe-resume-skill with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Privacy-first job Agent Skill for Claude/Cursor/Codex: verified facts only, OS secrets, confirmed submissions.
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vibe-resume-skill is AI 简历生成与排版 Skill｜12 套可投递 HTML/PDF 模板。AI resume builder for creating, updating and tailoring resumes to any JD via Codex, Claude Code, Cursor & Trae.. It is categorized as a Codex Skill with 62 GitHub stars.
vibe-resume-skill is primarily written in HTML. It covers topics such as agent-skill, ai-resume, ai-skills.
You can find installation instructions and usage details in the vibe-resume-skill GitHub repository at github.com/KevinYoung-Kw/vibe-resume-skill. The project has 62 stars and 2 forks, indicating an active community.
The top alternatives to vibe-resume-skill on Agent Skills Hub include job-application-agent, jobpilot, career-ops-ui. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: