Resume Optimizer

CommunityPopular

canwhite

resume-optimizer

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

Overview

Publisher	canwhite
Repository	`Krebs`
Skill name	`resume-optimizer`
Stars	1K
Forks	3
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by canwhite on GitHub. Read the source before you install it.

Installation

Install the Resume Optimizer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/canwhite/Krebs/tree/main/skills/resume-optimizer
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/canwhite/Krebs.git /tmp/Krebs
mkdir -p .claude/skills
cp -r /tmp/Krebs/skills/resume-optimizer .claude/skills/resume-optimizer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resume Optimizer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Resume Optimizer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Resume Optimizer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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：

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）

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

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
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
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
教育背景（Education）
- 标准格式：学位、专业、学校、毕业时间
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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Resume Optimizer AI skill 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

Why use Resume Optimizer on TypingMind?

Because you install it once and use it with any model. Resume Optimizer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Resume Optimizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/canwhite/Krebs/tree/main/skills/resume-optimizer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Resume Optimizer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Resume Optimizer?

As many as you like. As long as a model supports skills, you can use Resume Optimizer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Resume Optimizer AI skill free?

Yes. It is published on GitHub by canwhite under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Resume Optimizer - ATS简历优化器

核心原则

使用方法

步骤1：提供输入信息

步骤2：分析匹配

步骤3：生成优化简历

格式标准（ATS解析友好）

内容优化策略

示例

输入示例

输出示例（简化）

注意事项

References

Bundled files

Frequently asked questions

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