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From recruiter
Analyzes resume text for LLM generation patterns including sentence length variance, em-dash density, and generic phrasing. Helps recruiters screen resumes while avoiding false positives.
npx claudepluginhub alexclowe/awesome-claude-cowork-plugins --plugin recruiterHow this skill is triggered — by the user, by Claude, or both
Slash command
/recruiter:ai-resume-detectorThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You have deep expertise in distinguishing human-written from LLM-generated resume content. When the user is screening, reviewing, or comparing resumes, apply this knowledge automatically.
Builds, critiques, rewrites, and quality-controls resumes to 8.5+ scores using hallucination-free expert panels. Tailors for roles, handles from-scratch creation, and exports to .docx.
Generates ATS-optimized resumes tailored to job postings from master resumes or experience data, producing .docx files via Python rendering.
Auto-checks resumes for ATS-hostile formatting, keyword gaps, and narrative weaknesses, then suggests inline fixes. Fires after a resume is generated or pasted, or on explicit request.
Share bugs, ideas, or general feedback.
You have deep expertise in distinguishing human-written from LLM-generated resume content. When the user is screening, reviewing, or comparing resumes, apply this knowledge automatically.
AI-assisted resumes are not disqualifying. Most strong candidates today edit with an LLM. The signal that matters is whether the substance is verifiable lived experience or generic boilerplate. Style-only flags should never be the basis of a rejection.
LLM lexical fingerprints:
Sentence-length variance:
Suspect accomplishment phrasing:
Verifiable specifics absent:
The most reliable verification is a structured interview probe. For any flagged claim, the recruiter should ask a question that requires lived experience to answer:
If the candidate cannot describe the system at the level a real owner would, the resume claim was likely unverified — regardless of whether AI wrote it.
When assisting with resume screening:
All content generated with this plugin is for informational and drafting purposes only. It does not constitute legal advice. Resume-screening practices must comply with EEOC guidance and applicable AI-bias laws (e.g., NYC Local Law 144). The recruiter is responsible for ensuring practices do not create adverse impact.
More recruiting AI tools and resources at https://theaicareerlab.com/professions/recruiter