Generate tailored intro sets from resume.json and company.json into output/intro.json.
npx skills add https://github.com/aqwsde321/resume-tailor --skill generate-intro
Please help me install this Agent Skill. Skill: generate-intro Source: https://github.com/aqwsde321/resume-tailor/tree/main/skills/generate-intro Command: npx skills add https://github.com/aqwsde321/resume-tailor --skill generate-intro
이력서와 회사 정보를 바탕으로 회사 맞춤 자기소개를 자동으로 생성하여 구직자의 시간과 노력을 절약하고, 채용 공고의 요건에 더 잘 맞춘 소개를 제공합니다.
이력서(output/resume.json)와 기업 정보(output/company.json)를 읽어 output/intro.json으로 결과를 저장하는 명령을 실행한다.
High-intent search queries and answers about installing and using this skill.
To generate a company-focused intro, you need to provide resume.json and company.json. The Skill reads these files to produce oneLineIntro, shortIntro, and longIntro tailored to the specific job application context.
The best way to tailor a self-introduction is by analyzing the gap between your resume and the company's requirements. This process highlights matched skills and provides notes on missing but relevant qualifications for the target role.
Yes, you can use resume.json and company.json to generate fitReasons. The Skill analyzes your skills and projects against company requirements to output specific matching reasons into intro.json.
Intro generation identifies missing but relevant skills by comparing your resume data against the company.json context. It then generates gapNotes and missingButRelevant fields to help you understand where your profile lacks alignment.
You need to prepare resume.json and company.json files as input formats. The automated intro generation reads these structured files and outputs the tailored results directly into output/intro.json.
A limitation of automated content writing for resume tailoring is that it relies entirely on the data provided in resume.json and company.json. If the input information lacks detail, the generated fitReasons and gapNotes may be insufficient.
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