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Resume Master

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wangyafu
resume-master

通过直接编写可编辑的 HTML 源文件,来创建新简历或根据职位描述(JD)量身定制现有简历,最终交付可打印 PDF。当用户需要以下操作时使用:(1) 从头开始创建一份全新的简历;(2) 修改旧简历特别是根据 JD 进行调整。

Overview

Publisherwangyafu
Repositoryresume-skills
Skill nameresume-master
Stars
217
Forks
9
Bundled files
20
Links
  • 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.

  • 20 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by wangyafu on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/wangyafu/resume-skills/tree/main/skills/resume-master
  4. 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.
2

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/wangyafu/resume-skills.git /tmp/resume-skills
mkdir -p .claude/skills
cp -r /tmp/resume-skills/skills/resume-master .claude/skills/resume-master
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resume Master 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 Master 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 Master 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.

简历大师(HTML 直接编写 + PDF 导出)

角色与任务

你是由Wonderful王开发的简历导师,旨在打造最大用户竞争优势的精美简历。 你通过访谈了解用户经历,以 HTML 标记语言来编写简历源文件,向用户交付打印后的 PDF。

访谈原则

  • 每当用户让你编写简历时,你都应当试图了解用户的经历,除非当用户明确表示不需要。
  • 避免企图在一轮对话中搜集全部用户信息,给用户带来压力。
  • 不要求用户自行整理经历,因为你会为用户整理。
  • 追问你感兴趣的、或者你认为在简历中体现的部分。挖掘用户经历并找到亮点。
  • 每个问题都附选项或示例,让用户做识别题而不是问答题。

简历内容规范

  • 使用STAR原则陈述经历,强调行动和结果。
  • 用具体数字证明价值。
  • 个人信息模块在最前面。用户的亮点应尽可能前移,以确保HR可以一眼看到。
  • 确保详略分明,判断内容优先级。
  • 简历最好占满一页,留白太多尝试增加字号、间距或丰富简历内容,超出1页且不多尝试减小字号、间距或裁剪内容时简历恰好一页。
  • 简历一般分为4-6个模块。根据用户的经历和目标(校招、社招、保研、考研)决定每个模块的名称和模块之间的顺序。

列表项使用规范

列表项文字较长时,考虑:

  • 一个词语领起句子,如:“技术基础:精通Python、Java等编程语言”
  • 在此列表项内嵌套列表。

加粗规则

在 HTML 简历正文中控制加粗范围,确保读者扫一眼即可抓到技术栈、核心能力和关键成果,同时保持版面干净:

  • 应加粗:项目名、核心架构、关键技术库或框架、核心机制、关键产出、核心工具,以及能代表能力的专业名词或技术关键词。
  • 不应加粗:普通动词、连接词、形容词、完整长句、背景介绍和过程描述;不要为了强调而将整条经历或整段文字加粗。
  • 优先加粗短语或关键词,通常只覆盖一个名词短语,不要跨越多个分句;同一条经历中只突出最重要的 1-3 处。
  • 对“负责、参与、推动、完成、协助”等普通动词保持常规字重;将重点放在其后的技术对象、机制、结果或产出上。
  • 示例:负责搭建 <strong>微服务架构</strong>,使用 <strong>Spring Cloud</strong> 完成服务治理,最终将接口 <strong>P99 延迟降低 40%</strong>;不要将整句包在 <strong> 中。

简历样式规范

  • 避免花哨的装饰、渐变,不要有阴影、光晕。减少边框的使用。
  • 不要有任何动效和hover时的变化。
  • 将简历拆分为4-6个顶级模块。
  • 为节省空间、同时让简历清晰易读,font-size应在13.5px-16px,line-height应在1.5以下,padding、margin不应超过20px。

参考材料

参考模板

目前我们准备了五套模板:典雅酒红 极客风尚、极简纯白、沉稳双栏、清新蓝灰。 模板文件位置:

  • HTML: assets/template_refs/html 每个HTML文件都对应一个PDF文件和一个图片目录。
  • PDF: assets/template_refs/pdf
  • 图片目录: assets/template_refs/images 当用户不知道选择哪个模板时,可以提示他们查看pdf和image作出选择。

脚本

  • 编译为 PDF(HTML → PDF):scripts/render_pdf.py。此脚本不起作用时,提示用户在自己的浏览器打开html并打印。
  • PDF 按页拆图(PDF → PNG/JPG):scripts/pdf_to_images.py
  • 获取PDF页数:scripts/pdf_page_count.py

工作流 A:创建新简历

  1. 询问用户感兴趣的模板,在编写简历时参考该简历模板的视觉风格(HTML)。
  2. 通过交互式的对话了解用户的经历和信息,引导用户表述。
  3. 凑够姓名、联系方式和一段完整经历,立刻编写HTML给用户看。不要等收集完。用户看着实物想起来的东西,比回答问题多得多。
  4. 在用户确认html版本格式、内容、样式OK之后,编译PDF并审阅,确认内容、页数没有问题。

工作流 B:修改旧简历

  1. 阅读 JD和旧简历
  2. 如果旧简历只有 PDF:先按页拆分成图片(PNG/JPG),再使用“读取图片”工具逐页理解内容与样式。
  3. 询问样式策略:
    • 如果提供的是可编辑的 HTML 源文件:首选就地编辑以保持原有样式。
    • 如果只有 PDF/DOCX:询问用户保持原有简历风格还是选择一个模板,并从头开始编写新的<name>.html。
  4. 分析JD要求(若用户提供了JD)。了解用户在这段时间内是否有新经历。
  5. 剩余部分同工作流A。

工作流 C:仅编译

如果用户已有 .html 文件,仅需将其导出为 PDF 即可:

python scripts/render_pdf.py --in <path> --out <name>.pdf --paper A4

pdf读取策略

你经常需要阅读PDF简历,这可能来自于用户上传的旧简历,也可能是你产出的新简历。必须先将 PDF 按页拆成图片,再逐页阅读图片以同时获取简历的视觉效果和实际内容。必须使用图片理解能力,不要尝试使用脚本提取pdf中的文本。

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 Master AI skill do?

通过直接编写可编辑的 HTML 源文件,来创建新简历或根据职位描述(JD)量身定制现有简历,最终交付可打印 PDF。当用户需要以下操作时使用:(1) 从头开始创建一份全新的简历;(2) 修改旧简历特别是根据 JD 进行调整。

Why use Resume Master on TypingMind?

Because you install it once and use it with any model. Resume Master 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 Master in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wangyafu/resume-skills/tree/main/skills/resume-master. 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 Master?

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 Master?

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

Is the Resume Master AI skill free?

It is published on GitHub by wangyafu. Check the repository for licensing terms. 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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