resume-matcher

To compare resumes against job requirements, this skill analyzes resume content alongside a job-analysis artifact, computes a 0-10 relevance score for each candidate, and outputs consolidated experiences and skills into a standardized resume_matches.json file.

Yes, you can consolidate multiple resumes by placing them in an inputs/resumes directory; the skill processes them together to generate a comprehensive candidate profile with consolidated experiences and skills in a single JSON output.

Resume matching works by reading resume sections, comparing them directly to your job-analysis requirements, and calculating a quantified 0-10 relevance score to rank candidates and inform tailored application decisions.

Yes, you need an existing job-analysis artifact to use this skill; the matching process reads this context to evaluate resume content and outputs the validated results to outputs/{company}_{date}/analysis/resume_matches.json.

The best way to structure resume data for automated job analysis is to provide raw resume files in an inputs/resumes directory, allowing the skill to read sections, consolidate skills, and produce ranked match data without manual formatting.

You use the resume_matches.json output by importing the structured match data into downstream processing systems, leveraging the computed 0-10 relevance scores and consolidated experiences to inform and optimize hiring decisions.