Agent skill

Resume Optimizer

by canwhite in canwhite/Krebs

ATS简历优化器 - 根据职位描述(JD)和个人能力,生成符合ATS解析要求的高匹配简历. An agent skill from canwhite/Krebs.

MITAuto-check passedBusiness, Finance & HR

Install Resume Optimizer

skills CLI
$ npx skills add canwhite/Krebs --skill resume-optimizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install canwhite/Krebs resume-optimizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/canwhite/Krebs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/resume-optimizer .claude/skills/resume-optimizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
resume-optimizer
GitHub stars
1k
Token cost
~675 tokens
SKILL.md length
103 words
Files
3 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

ATS简历优化器 - 根据职位描述(JD)和个人能力,生成符合ATS解析要求的高匹配简历. An agent skill from canwhite/Krebs.

  • Works in 2 steps: 职位描述(JD) - 目标岗位的完整职位描述 → 个人能力 - 候选人的真实技能、经历、成就(文本形式)
  • Tasks that involve Resume and CV writing
  • SKILL.md covers 核心原则, 使用方法, 示例 and 注意事项, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Resume Optimizer is an agent skill from canwhite/Krebs. ATS简历优化器 - 根据职位描述(JD)和个人能力,生成符合ATS解析要求的高匹配简历

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/ats-best-practices.md` and `references/keyword-matching.md`). Compatibility notes: 通用

It sits in Business, Finance & HR, covering Resume and CV writing. The repository describes itself as: An agent focused on attention management. The licence is MIT.

When your agent uses it

  • Tasks that involve Resume and CV writing

Example prompts

  • “/resume-optimizer”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): 通用

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. 职位描述(JD) - 目标岗位的完整职位描述
  2. 个人能力 - 候选人的真实技能、经历、成就(文本形式)

What it can do on your machine

Read from SKILL.md and the folder at commit 31d4bea. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    通用

    From compatibility in the SKILL.md frontmatter.

Context cost

Resume Optimizer loads about 675 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 15 tokens; SKILL.md has 103 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~15
When it runs · the whole SKILL.md, loaded when a task matches
~675
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from canwhite/Krebs at commit 31d4bea, republished under its MIT licence (© canwhite). 103 words, ~675 tokens.

Download SKILL.mdSave it as .claude/skills/resume-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
resume-optimizer
description
ATS简历优化器 - 根据职位描述(JD)和个人能力,生成符合ATS解析要求的高匹配简历
compatibility
通用
license
MIT
metadata.version
1.0.0
metadata.author
Krebs

Resume Optimizer - ATS简历优化器

智能简历优化工具,根据职位描述(JD)和候选人的实际能力,生成符合现代ATS(申请人跟踪系统)要求的优化简历。

核心原则

2026年ATS优化的现实:

  • 隐藏文本、白字、堆砌关键词等"黑科技"已被广泛检测,会导致降分或黑名单
  • 现代ATS使用AI+NLP语义解析,真正的优化是"让系统正确理解你"
  • 最佳策略:格式标准化 + 自然语义关键词匹配 + 量化成就

使用方法

步骤1:提供输入信息

用户提供以下两项:

  1. 职位描述(JD) - 目标岗位的完整职位描述
  2. 个人能力 - 候选人的真实技能、经历、成就(文本形式)
步骤2:分析匹配

系统将自动:

  • 从JD中提取核心硬技能、工具、职责短语
  • 分析个人能力与JD的匹配度和差距
  • 识别可转移技能和需要强调的经验
步骤3:生成优化简历

输出一份符合以下标准的简历:

格式标准(ATS解析友好)
  • 单列布局 - 避免表格、多列、文本框
  • 标准标题 - Work Experience, Education, Skills, Certifications
  • 日期一致 - MM/YYYY 或 Month YYYY – Month YYYY
  • 标准字体 - Arial, Calibri, Times New Roman (10-12pt)
  • 文件类型建议 - 优先 .DOCX
内容优化策略
  1. 专业总结(Professional Summary)

    • 3-4行,突出与JD最相关的核心能力
    • 自然融入JD中的关键词
  2. 技能列表(Skills)

    • 分组呈现:技术技能、工具、软技能
    • 包含缩写和全称(如 SQL / Structured Query Language)
    • 精确匹配JD中的术语
  3. 工作经历(Work Experience)

    • 每条经历使用 Action + Tool/Scope + Result 格式
    • 量化成就(数字、百分比、具体成果)
    • 自然融入JD关键词,避免生硬堆砌
  4. 教育背景(Education)

    • 标准格式:学位、专业、学校、毕业时间
  5. 证书/其他(Certifications)

    • 仅列出与JD相关的证书

示例

输入示例

JD片段:

We are looking for a Data Analyst with:
- 3+ years of experience in data analysis
- Proficient in SQL, Python, Tableau
- Experience with agile methodologies
- Strong communication skills

个人能力片段:

3年数据分析经验,使用SQL查询数据库,用Python做数据处理,
做过几个数据可视化项目,平时用敏捷开发流程,需要和产品经理沟通需求。
输出示例(简化)
PROFESSIONAL SUMMARY
Data Analyst with 3+ years of experience leveraging SQL, Python, and Tableau
to deliver actionable insights. Proven track record in agile environments with
strong stakeholder communication skills.

SKILLS
Technical: SQL (Advanced), Python (Pandas, NumPy), Tableau, Data Visualization
Methodologies: Agile/Scrum, Sprint Planning
Soft Skills: Stakeholder Communication, Requirements Gathering

WORK EXPERIENCE
Data Analyst | Company Name | 01/2022 – Present
• Developed SQL queries to analyze user behavior, driving 15% improvement in customer retention
• Created Python data pipelines using Pandas/NumPy, reducing manual reporting time by 40%
• Built interactive Tableau dashboards for executive reporting, used by 50+ stakeholders
• Collaborated with product managers in agile sprints to define data requirements

注意事项

⚠️ 避免以下高风险操作:

  • 隐藏文本(白字、小字号、层叠)
  • 直接复制整段JD
  • 过度堆砌关键词
  • 使用AI生成痕迹过重的内容

✅ 推荐做法:

  • 基于真实能力进行优化
  • 自然融入关键词
  • 量化真实成就
  • 保持对人类招聘者友好

References

© canwhite, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/resume-optimizer of canwhite/Krebs.

  • SKILL.md
  • references/ats-best-practices.md
  • references/keyword-matching.md

Open the folder on GitHubat commit 31d4bea

Compare with similar skills

Resume Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Resume Optimizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Resume Optimizer this skillcanwhite/Krebs1k—~675Automated safety check: PassMIT
Reactive Resume Builderreactive-resume/reactive-resume44k—~1.5kAutomated safety check: PassMIT
Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.3kAutomated safety check: PassMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence
Job Application AssistantMadsLorentzen/ai-job-search45k1 repos~1.2kAutomated safety check: NotesMIT
Resume Tailoringvarunr89/resume-tailoring-skill7661 repos~8.9kAutomated safety check: PassMIT

Similar skills

  • Reactive Resume Builder

    reactive-resume/reactive-resume

    Builds resumes as valid JSON for the open-source Reactive Resume app by interviewing you, and can track job applications through its MCP tools.

    44k GitHub stars~1.5k tokensUpdated yesterday
    Business, Finance & HRAuto-check passed
  • Career-Ops Job Search Center

    career-ops-hq/career-ops

    Routes job-search requests to modes for evaluating offers, scanning portals, generating tailored CVs, tracking applications and drafting outreach, starting from a pasted job URL or description.

    74k GitHub stars~3.3k tokensUpdated yesterday
    Business, Finance & HRAuto-check passed
  • Internship Project Preparation Tool

    LiuMengxuan04/shushu-internship-tool

    Turns a target internship job description into a resume-ready, interview-ready project by finding and auditing GitHub projects and drafting resume bullets and interview Q&A.

    2.1k GitHub stars~2.3k tokensUpdated 3 mo ago
    Business, Finance & HRAuto-check passed
  • Job Application Assistant

    MadsLorentzen/ai-job-search

    Evaluates job postings against your profile, then tailors a LaTeX CV and cover letter and prepares interview answers for the roles you pursue.

    45k GitHub starsUsed in 1 repo~1.2k tokens
    Business, Finance & HRAuto-check: notes
  • Resume Tailoring

    varunr89/resume-tailoring-skill

    A skill your agent uses when creating tailored resumes for job applications - researches company/role, creates optimized templates, conducts branching experience discovery to surface undocumented…

    766 GitHub starsUsed in 1 repo~8.9k tokens
    Business, Finance & HRAuto-check passed
  • Good Story

    Rimagination/good-story

    A skill your agent uses when the user asks to find, sharpen, evaluate, rewrite, or explain the story in scientific or scholarly materials across disciplines, including manuscripts, grants, paper…

    134 GitHub starsUsed in 1 repo~2.9k tokens
    Business, Finance & HRAuto-check passed

More from canwhite/Krebs

  • 基于"扩散模型叙事去噪流"的小说写作 SOP。将 AI 视为去杂质机器,通过锁定全局信号、预测叙事噪声、精准去噪、随机修正四个步骤,解决 AI 翻译腔、逻辑断层和故事平淡的问题。

    1k GitHub stars~831 tokensUpdated 1 mo ago
    Auto-check passed
  • Web Search Tool

    canwhite/Krebs

    提供网页搜索功能示例,演示如何使用 curl 进行 HTTP 请求。用于学习如何构建包含 scripts 和 references 的标准 skill 结构。

    1k GitHub stars~181 tokensUpdated 1 mo ago
    Auto-check passed
  • Simpleman

    canwhite/Krebs

    Simple, plain language communication. An agent skill from canwhite/Krebs.

    1k GitHub stars~574 tokensUpdated 1 mo ago
    Auto-check passed
  • Wechat Article

    canwhite/Krebs

    专业微信公众号爆款文章创作,基于痛点情绪故事在前、结论功能在后的原则,提供完整的文章结构、标题、开头、结尾生成方案. An agent skill from canwhite/Krebs.

    1k GitHub stars~2.4k tokensUpdated 1 mo ago
    Auto-check passed

Questions about Resume Optimizer

What does Resume Optimizer do?

ATS简历优化器 - 根据职位描述(JD)和个人能力,生成符合ATS解析要求的高匹配简历. An agent skill from canwhite/Krebs. Resume Optimizer is an agent skill from canwhite/Krebs.

When should I use Resume Optimizer?

Resume Optimizer fits situations like: tasks that involve Resume and CV writing.

How do I install Resume Optimizer in Claude Code?

Run `npx skills add canwhite/Krebs --skill resume-optimizer -a claude-code`. Or copy the skill folder (skills/resume-optimizer in canwhite/Krebs) into .claude/skills/resume-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Resume Optimizer in Codex?

Run `npx skills add canwhite/Krebs --skill resume-optimizer -a codex`. Or copy the skill folder (skills/resume-optimizer in canwhite/Krebs) into .agents/skills/resume-optimizer in your project. Codex loads it when a task matches its description.

Can I use Resume Optimizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add canwhite/Krebs --skill resume-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resume-optimizer, .gemini/skills/resume-optimizer, .github/skills/resume-optimizer and .opencode/skills/resume-optimizer in your project.

What does Resume Optimizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Resume Optimizer is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): 通用.

Does Resume Optimizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Resume Optimizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Resume Optimizer use?

Resume Optimizer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Resume Optimizer use?

About 675 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Resume Optimizer?

Skills that share tags, products or a category with Resume Optimizer: Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars), Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars) and Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Resume Optimizer?

canwhite (a GitHub user) maintains it in canwhite/Krebs, which has 1,038 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 28, 2026.

Source: canwhite/Krebs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.