Analysis updated 2026-05-18
Tailor one resume into job-specific versions for several different job postings.
Get an ATS-readable plain-text version of your resume alongside the formatted one.
Identify gaps between a job description's requirements and your actual experience before applying.
Generate likely interview questions based on the specific claims in your rewritten resume.
| coinluu/resume-jd-optimizer-cn | 920linjerry-stack/capital-studio | aahonarmand/neticu | |
|---|---|---|---|
| Stars | 16 | 16 | 16 |
| Language | — | Python | Swift |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 3/5 | 2/5 |
| Audience | pm founder | researcher | general |
Figures from each repo's GitHub metadata at analysis time.
Works by loading SKILL.md into Codex, ChatGPT Projects, or a custom GPT/Agent, no code installation required.
This project is an AI skill for optimizing Chinese resumes to match specific job postings, designed for job seekers in China. You provide a job description and your existing resume, and the skill guides the process of identifying where your experience matches the requirements, where it falls short, and how to rewrite your resume so that it is accurate, readable by automated screening systems, and easier for a hiring manager to evaluate quickly. The central idea is to work only with facts you can verify, rather than inflating language or adding keywords that are not tied to real experience. The skill analyzes the job description to identify hard requirements, core responsibilities, desired skills, and keywords with their relative weight. It then maps those against your actual experience and asks follow-up questions when information is missing, rather than inventing details to fill gaps. The final output includes a job-specific version of your resume, a plain-text version formatted for automated screening, and a list of likely interview questions based on specific numbers, methods, and outcomes in the rewritten version. The skill is structured as a set of prompts, templates, scoring rules, and documented failure modes that can be loaded into AI tools such as Codex or ChatGPT Projects. It supports multiple job descriptions at once, generating separate tailored versions from the same factual base rather than a single generic resume sent everywhere. The README covers a range of job categories including product management, data analysis, engineering roles, sales, design, and both new graduates and career changers. A scoring system evaluates the resume against five dimensions: job description match, ATS readability, first impression for a recruiter, interview preparation quality, and overall credibility. Each score requires evidence, the tool will not guess when information is missing. The project is MIT licensed. The README notes clearly that it improves expression quality and job fit, but does not guarantee passing automated screening or getting an interview.
An AI skill that rewrites a Chinese resume against a specific job description, using only verifiable facts and flagging gaps instead of inventing details.
MIT license: free to use, modify, and distribute, including commercially, as long as the copyright notice is kept.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
Verify against the repo before relying on details.