ResumeSkills: A collection of AI agent skills focused on resume optimization, job applications, and career development

by Paramchoudhary · Agent Tool · ★ 2.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: AI Job Hunting & Resume Skills

How to install ResumeSkills

npx skills add Paramchoudhary/ResumeSkills -g -y
npx skills add Paramchoudhary/ResumeSkills -y

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars2,442
Forks204
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Open Issues5
Last Updated2026-06-19
Created2026-01-30
Platformsclaude-code
Est. Tokens~16k

About ResumeSkills

Resume Skills for Claude Code A collection of AI agent skills focused on resume optimization, job applications, and career development. Built for job seekers, career changers, and professionals who want Claude Code to help with resume writing, ATS optimization, interview prep, and strategic job search.

Compatible Skills

These tools work well together with ResumeSkills for enhanced workflows:

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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