Resume Analyzer

The Problem

Resume review often lacks a consistent rubric: recruiters, candidates, and hiring managers may weigh structure, keywords, and project depth differently. This skill treats the resume file as input and returns a structured assessment instead of a vague paragraph. It supports PDF, DOCX, DOC, TXT, and MD files, which makes it useful for self-review, early screening, or interview preparation.

How It Works and Its Limits

The skill runs inside the conversation environment and does not require a separately deployed backend service. The core flow is:
- Resume parsing: extract text from the uploaded file and identify usable information such as education, skills, projects, and work experience.
- Dimension scoring: produce an overall score of 0-100, plus content completeness 0-25, structural clarity 0-20, skill matching 0-25, professional expression 0-15, and project experience 0-15.
- Suggestion generation: output a resume summary, core strengths, and improvement suggestions organized by category, priority, specific issue, and recommended solution.
Note that the scores and suggestions are generated by a large language model from the resume text. They are useful for first-pass feedback and revision direction, but should not replace HR validation of role requirements, factual experience, and project details.