resume-matcher

Analyze resumes against job requirements and generate structured match data with 0-10 relevance scores.

1|Updated Jan 11, 2026

Search Tags:#automation #resume #scoring #matching #job-analysis #data-consolidation #human-resources

Ready to run

npx skills add https://github.com/roadfoodr/cover-letter-gen-claude-code --skill resume-matcher

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: resume-matcher
Source: https://github.com/roadfoodr/cover-letter-gen-claude-code/tree/main/skills/resume-matcher
Command: npx skills add https://github.com/roadfoodr/cover-letter-gen-claude-code --skill resume-matcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, scalable way to compare applicant resumes against job requirements and generate quantified match data to inform hiring decisions and application optimization.

Core Features & Use Cases

Consolidates multiple resumes into a single, comprehensive candidate profile.
Compares resume content to job-analysis requirements and produces ranked matches with relevance scores.
Outputs a standardized JSON file at outputs/{company}_{date}/analysis/resume_matches.json for downstream processing.

Quick Start

Run the skill to process inputs/resumes against the latest job analysis context and generate resume_matches.json.

Frequently Asked Questions about resume-matcher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automatically compare resumes against job requirements and score them?▼

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.

Can I consolidate multiple resumes into a single structured JSON profile?▼

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.

How does resume matching and scoring work against a job analysis?▼

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.

Do I need a specific job-analysis file format to generate resume matches?▼

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.

What is the best way to structure resume data for automated job analysis?▼

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.

How do I use the resume_matches.json output for downstream hiring decisions?▼

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.