Resumx Resume Skills
Research-backed resume-writing skills for agents
About
Two research-backed resume skills: resume-writing gives agents data-driven rules for resume content — bullet composition, quantification, ATS-tested word choice, job-description tailoring, gendered-language checks — with each rule traced to a study (NBER hiring outcomes, 10k+ ATS scans, eye-tracking research). The second skill teaches the Resumx Markdown-resume format so AI edits stop breaking the PDF layout. The strength is that every rule cites evidence rather than opinion. The limitation is scope: resumes only — and it can tell the agent what good copy looks like, but it can't supply the user's real achievements.
What it can do
- resume-writing: bullet composition (XYZ, So what?, show don't tell)
- Quantification and scale anchoring
- ATS-tested word choice with causal framing
- Job-description tailoring and keyword placement
- Gendered-language bias checks
- resumx: Markdown resume syntax, CLI, and page fitting
- Multi-language resume output
- Every rule cites a study (NBER, TheLadders, ATS scan data)
Setup
npx skills add resumx/skills
No-install use: paste the resume-writing SKILL.md URL into ChatGPT, Gemini, or any AI chat as the first message
Prerequisites
None; the Resumx CLI is optional for the resumx skill
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: 28 stars; study-cited rules give credibility; resume-only scope. License: MIT.
★ 28 GitHub stars
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 5.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Openness · license + docs
- 8.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · 28 stars; study-cited rules give credibility; resume-only scope
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.