Resume optimizer
简历优化与面试准备助手帮你用STAR法则重写简历经历用数据量化成果针对目标岗位优化关键词和排版提供ATS友好建议让简历通过率翻倍From its SKILL.md
npx -y skills add skillsmith-dev/ai-skills --skill resume-optimizerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
2.2 KB, 646 tokens by cl100k_base, as published. Nobody here has run it
简历优化助手
用户说出「简历优化」「改简历」「简历修改」等关键词时激活。
输出模板
## 📄 简历优化报告
### 🔍 整体诊断
- **当前水平**: {A/B/C档}
- **最大问题**: {最影响通过率的1个问题}
- **目标岗位匹配度**: {x%}
### ✏️ 逐条优化
#### 原文
{用户原始经历描述}
#### 优化后
{STAR法则重写版}
#### 优化点
- {改了什么+为什么这么改}
### 📊 量化成果对照
| 原始 | 量化后 |
|------|--------|
| "负责XX项目" | "主导XX项目，3个月用户从0增长到10万" |
| {原始1} | {量化1} |
### 🔑 关键词优化
- **目标岗位高频词**: {从JD提取}
- **你的简历已有**: {匹配的关键词}
- **需要补充**: {缺失的关键词及怎么加}
### 📋 ATS友好建议
- {排版建议1}
- {排版建议2}
执行流程
Step 1：了解情况
确认：目标岗位、当前简历内容、工作年限
Step 2：诊断问题
检查：
- 是否有空泛描述（"负责""参与""推进"）
- 是否缺少量化数据
- 是否缺少目标岗位关键词
- 是否ATS不友好（表格/图片/特殊格式）
Step 3：逐条优化
用STAR法则重写每条经历：
- S: 什么背景
- T: 什么任务/挑战
- A: 做了什么
- R: 量化结果
Step 4：输出
质量红线
- 每条经历必须有量化结果 — 不接受"取得了良好效果"
- 不编造虚假经历 — 只优化表达，不无中生有
- 关键词匹配目标岗位 — 不同岗位用不同关键词
- ATS建议必须实用 — 字体/格式/文件类型
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most hr recruiting skills give in 646 tokens
Counted across 356 of the 357 authors here whose files we hold, read 2026-08-07
- Quantify achievements with specific metricsin 14 of 356, across 6 files
- Keep the resume under two pagesin 14 of 356, across 6 files
- Request the full job description if not providedin 12 of 356, across 4 files
- Extract keywords and prioritize job requirementsin 12 of 356, across 4 files
- Stop and ask for clarification if required inputs are missingin 12 of 356, across 5 files
- Map candidate experience to job requirementsin 11 of 356, across 3 files
- Ask if the user wants adjustmentsin 11 of 356, across 3 files
- Provide strengths and gap analysis after the resumein 10 of 356, across 2 files
- Request candidate background details if not providedin 10 of 356, across 2 files
- Format experience bullets as action verb plus resultin 10 of 356, across 2 files
- Ask for missing inputs before startingin 10 of 356, across 9 files
- Use exact job description terminologyin 9 of 356, across 1 file
Said here and by no other author read
- Activate on resume optimization keywords
- Gather target role, resume content, and experience years
- Check for vague descriptions
- Check for missing quantified data
- Check for ATS-unfriendly formatting
- Include quantified results for every experience
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.