跳到正文
cccskills
免费在 GitHub 公开

Resume Humanizer

Rewrite resume bullets into natural engineering prose while preserving evidence, ownership, and technical meaning. Uses qualitative checks rather than AI-detection scores.

中文简介正在准备中。当前显示原文说明。

splash0047/resume-generator星标 34(GitHub 34 + cccskills 0)

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md2.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Resume Humanizer

Purpose

Make evidence-backed bullets concise, natural, and interview-defensible.

Do not optimize for AI-detector scores. AI-detection tools are not a reliable measure of whether a resume is good or authentic.

Checks

Natural Language

Prefer:

  • direct verbs;
  • normal sentence structure;
  • specific nouns;
  • concrete technologies;
  • plain explanations of impact.

Avoid inflated wording such as:

  • cutting-edge;
  • revolutionary;
  • seamless;
  • world-class;
  • results-driven;
  • passionate (when used as resume filler);
  • orchestrated / spearheaded when a simpler verb is more accurate.

Specificity

A technical bullet should name the actual system, technology, algorithm, API, database, or artifact when relevant.

Evidence Preservation

Do not add:

  • new metrics;
  • new technologies;
  • new scale;
  • new ownership;
  • production claims;
  • causal impact unsupported by evidence.

Readability

Keep bullets compact. Split a bullet when multiple unrelated claims make it hard to read.

Technical Density

Include architecture/technical decisions only when they help explain the work; do not force a "why X over Y" comparison into every bullet.

Interview Defensibility

The candidate should be able to explain every noun, number, and technical decision.

Output

For each rewritten bullet:

  • original;
  • revised;
  • evidence preserved;
  • any removed exaggeration or unsupported language.

Then run this checklist:

  • Natural language: Pass / Needs revision
  • Specificity: Pass / Needs revision
  • Evidence preservation: Pass / Needs revision
  • Readability: Pass / Needs revision
  • Technical relevance: Pass / Needs revision
  • Interview defensibility: Pass / Needs revision

Guardrails

  • No AI-writing score.
  • No forced metric density.
  • No keyword repetition target.
  • Never trade truthfulness for stronger-sounding prose.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Format CVs for academic positions with publications, grants, and teaching

中文简介正在准备中。当前显示原文说明。

splash0047/resume-generator342026年9月28日 更新

Decides whether to apply to a specific role, with what level of effort, and with which resume variant. Prevents wasted applications on roles with fundamentally poor fit and prioritizes high-probability opportunities.

中文简介正在准备中。当前显示原文说明。

splash0047/resume-generator342026年9月28日 更新

Decide how to prioritize job applications using hard eligibility, evidence coverage, role alignment, and real application outcomes rather than arbitrary fit scores.

中文简介正在准备中。当前显示原文说明。

splash0047/resume-generator342026年9月28日 更新

Define a clear primary role identity and supporting evidence so a resume reads coherently for the target job.

中文简介正在准备中。当前显示原文说明。

splash0047/resume-generator342026年9月28日 更新

Determines the candidate's primary role identity before any JD analysis. Classifies into role families, selects core tech identity, ranks projects by role relevance, and outputs a Candidate Position Brief consumed by all downstream stages. This is Phase -1 of the pipeline.

中文简介正在准备中。当前显示原文说明。

splash0047/resume-generator342026年9月28日 更新

Translate skills from one industry to another, identify transferable skills

中文简介正在准备中。当前显示原文说明。

splash0047/resume-generator342026年9月28日 更新

查看 splash0047 的全部技能

报告此技能的问题