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基于目标岗位 JD、中文简历和用户确认的真实经历，完成中国大陆求职场景下的 JD 解析、证据映射、缺口诊断、素材追问、定制简历重写、ATS/HR/面试官审查及投递沟通材料生成。用于应届、社招、转行及互联网、AI、产品、运营、销售、技术、数据、设计等岗位；当用户要求针对 JD 优化中文简历、提高匹配度、生成 Boss 直聘或猎头话术、检查面试自洽性时使用。
resume-jd-optimizer-cn is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # 国内求职者简历 JD 优化 ## 目标 把目标 JD 的要求映射到用户可验证的真实经历，生成适合中国大陆招聘场景、ATS 可读、HR 易判断、面试可自洽的定制简历。不要只润色语言。 ## 先遵守的硬规则 1. 只使用用户简历、用户补充回答和明确标注的合理估算。 2. 不编造学校、公司、岗位、项目、证书、工具、职责、. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding resume-jd-optimizer-cn to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install coinluu/resume-jd-optimizer-cnReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# 国内求职者简历 JD 优化 ## 目标 把目标 JD 的要求映射到用户可验证的真实经历，生成适合中国大陆招聘场景、ATS 可读、HR 易判断、面试可自洽的定制简历。不要只润色语言。 ## 先遵守的硬规则 1. 只使用用户简历、用户补充回答和明确标注的合理估算。 2. 不编造学校、公司、岗位、项目、证书、工具、职责、数据或 AI/RAG/Agent 经历。