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SkillsMP는 ApplyU-ai/ResumeAgent에서 10개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 10개 중 10개를 표시합니다.
Extract structured data from PDF or DOCX resume files. Produces a ResumeData JSON object with sections for personal info, education, experience, publications, skills, projects, and certifications. Use when processing an uploaded resume file to convert raw…
원문 언어: 영어
Deterministic LaTeX colorization for resume heatmap. Injects xcolor-based phrase-level highlights into .tex source using colorbox commands. No LLM required — pure scripting. Supports progressive colorization (block-by-block), mismatch list generation, and…
원문 언어: 영어
Optimize a single experience-type resume block within LaTeX source for better JD alignment. Operates ONLY on experience, education, project, and skills blocks (\resumeSubheading / \resumeProjectHeading / \resumeItem / skill lines). NEVER touches…
원문 언어: 영어
Per-block character-level relevance analysis for resume heatmap generation. Analyzes a single .tex block against structured JD requirements, producing three-level output: block overview, element-level annotations, and phrase-level highlights. Context-isolated…
원문 언어: 영어
Identify which resume blocks need optimization for a given job description. Analyzes LaTeX source against JD requirements and match analysis to produce a prioritized optimization queue. Only targets experience blocks (\resumeSubheading + \resumeItem),…
원문 언어: 영어
Compile a LaTeX .tex file into a PDF using a Docker sandbox. This is a fully deterministic operation — no LLM is involved. Takes texContent as input, runs xelatex (or pdflatex fallback) inside a sandboxed Docker container, and returns the compiled PDF as…
원문 언어: 영어
Fill a LaTeX resume template with structured ResumeData using a per-template LLM-driven strategy. Produces a complete, compilable .tex file by studying an example .tex for the chosen template, understanding its custom commands, and generating correct LaTeX…
원문 언어: 영어
Analyze and categorize job description requirements. Parses JD text into structured JobRequirements with categorized requirements (must_have, nice_to_have, culture, logistics), keywords extraction, and importance weighting. Use when processing a job…
원문 언어: 영어
Compute a quantitative match score between a resume and job requirements. Evaluates per-category alignment (must_have, nice_to_have, culture, logistics), identifies strengths and gaps, and produces an overall weighted score from 0 to 100. Use when assessing…
원문 언어: 영어
Structured extraction from resumes using custom schema definitions. Supports JSON output, field-by-field resume parsing, schema-driven extraction, and structured output for any user-defined format.
원문 언어: 영어