Resume Rewrite

Rewrite, diagnose, and generate data engineering resume bullet points. Also matches resumes against job descriptions and generates interview prep questions. Use this skill when the user wants to improve, rewrite, or critique resume bullets, describe their work in plain language to generate bullets from scratch, compare their resume with a job posting, or prepare for interviews. Trigger on "帮我改简历", "帮我写简历", "rewrite my resume", "看看这个简历", "这条怎么改", "我不会写简历", "帮我看看这个JD", "我的简历match吗", "这个岗位合适吗", "帮我押题", "准备面试", "深挖简历", "interview prep", or any time the user pastes resume bullets, describes work ex

18 stars 2 forksDocuments & Office Files

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add xiaowantree/data-engineer-resume-copilot --skill resume-rewrite

Manual install

git clone --depth 1 https://github.com/xiaowantree/data-engineer-resume-copilot.git /tmp/data-engineer-resume-copilot
mkdir -p ~/.claude/skills
cp -r /tmp/data-engineer-resume-copilot/. ~/.claude/skills/resume-rewrite

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Resume Rewrite Skill

Critiques and rewrites data engineering resume bullet points into achievement-oriented, HR-friendly, well-formatted English.

## Reference Files

This skill has reference files in the `references/` directory. Load them as needed:

| File | When to Load |
|---|---|
| `references/terminology.md` | Before diagnosing or rewriting bullets — contains HR power verbs, jargon-to-HR translation tables, and ATS keyword checklists |
| `references/interview-prep.md` | When user asks to prep for interviews — triggered by "帮我押题", "准备面试", "深挖简历", "interview prep". Contains thinking process story framework and scenario-based question generator |

To load: read the file from the same directory as this SKILL.md.

---

## Core Philosophy

Resumes describe **achievements**, not **responsibilities**. The best bullet points have:
- A clear **action** (what you did)
- A **method** (how you did it, with recognizable tech keywords)
- A **result** (quantified impact)
- A **business outcome** (who benefited and how — e.g., "enabling leadership to make data-driven decisions", "reducing finance team's manual workload")

The business outcome is what separates a strong bullet from a merely technical one. Without it, the bullet reads like an engineering spec, not a resume.

**How to handle missing business outcomes:**

Read the full skill on GitHub

Details

Skill name: resume-rewrite
Repository: xiaowantree/data-engineer-resume-copilot
Repo updated: 19 May 2026

FAQ

What does the Resume Rewrite skill do?

How do I install the Resume Rewrite skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add xiaowantree/data-engineer-resume-copilot --skill resume-rewrite. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Resume Rewrite popular?

It lives in xiaowantree/data-engineer-resume-copilot, which has 18 GitHub stars and 2 forks.

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