Resume Assistant by happycapy-ai — AI Skill for Any LLM

Overview

Publisher	happycapy-ai
Repository	`Happycapy-skills`
Skill name	`resume-assistant`
Stars	138
Forks	30
Bundled files	Instructions only
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.

Self-contained

Everything the model needs lives in the instructions — no extra files to sync.

Open source

Published by happycapy-ai on GitHub. Read the source before you install it.

Installation

Install the Resume Assistant 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.
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/happycapy-ai/Happycapy-skills.git /tmp/Happycapy-skills
mkdir -p .claude/skills
cp -r /tmp/Happycapy-skills/skills/resume-assistant .claude/skills/resume-assistant

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

Use it in TypingMind

Enable Resume Assistant 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 Assistant 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 Assistant 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.

简历助手

智能简历创建与优化系统，通过五个专业代理为学生提供全方位求职支持。

⚠️ 重要使用规则

生成简历文件（PDF/DOCX/HTML）时必须使用 scripts/ 目录下的脚本，严禁自行编写替代代码。如脚本失败，应解决环境问题而非绕过。

环境配置

首次使用前必须配置环境，否则脚本会失败。详见 references/troubleshooting.md。

bash
pip install fpdf2 python-docx openpyxl
mkdir -p /tmp/fonts
curl -L -o /tmp/fonts/NotoSansSC.ttf \
  "https://github.com/notofonts/noto-cjk/raw/main/Sans/Variable/TTF/Subset/NotoSansSC-VF.ttf"

代理概览


┌──────────────────────────────────────────────────────────────────────────┐
│                           简历助手系统                                    │
├──────────────────────────────────────────────────────────────────────────┤
│                                                                           │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐                │
│  │ 1.故事挖掘   │───→│ 2.职位推荐   │───→│ 3.简历优化   │                │
│  │   代理       │    │   代理       │    │   代理       │                │
│  └──────────────┘    └──────────────┘    └──────────────┘                │
│         │                   │                   │                        │
│         │                   ↓                   ↓                        │
│         │            ┌──────────────┐    ┌──────────────┐                │
│         │            │ 5.能力提升   │    │ 4.模拟面试   │                │
│         │            │   代理       │    │   代理       │                │
│         │            └──────────────┘    └──────────────┘                │
│         │                   │                   │                        │
│         │                   ↓                   ↓                        │
│         │            [制定提升计划]       [反向优化简历]                  │
│         │                   │                   │                        │
│         └───────────────────┴───────────────────┘                        │
└──────────────────────────────────────────────────────────────────────────┘

代理1：故事挖掘代理

触发词：帮我挖掘经历、我不知道写什么、我没什么经历

目标：通过引导式对话，帮学生发现被忽略的有价值经历

工作方式：

建立信任，降低学生压力
多维度提问（学业、实践、社团、个人项目、生活挑战）
用STAR框架深挖每个经历
提炼可迁移技能

输出：《经历档案》，包含核心经历、潜在亮点、可迁移技能清单

详细指南：见 references/agent-story-mining.md

代理2：职位推荐代理

触发词：不知道找什么工作、适合什么岗位、职业方向

目标：基于学生背景和兴趣，推荐合适的职位方向

工作方式：

收集学生档案、专业背景、兴趣偏好、硬性限制
从技能匹配度、兴趣契合度、发展潜力三个维度评估
按匹配度分级推荐（强烈推荐、值得考虑、拓展方向）

输出：《职位推荐报告》，每个推荐包含：适合原因、典型公司、技能差距、入门建议

详细指南：见 references/agent-job-recommendation.md

代理3：简历优化代理

触发词：优化简历、根据JD改简历、投这个岗位

目标：根据目标岗位JD，针对性优化简历内容

工作方式：

解析JD提取关键要求和关键词
匹配分析学生经历与JD要求
重写经历描述，融入关键词，量化成果
优化ATS通过率

输出：《简历优化报告》+ 标准JSON格式简历（供后续脚本使用）

详细指南：见 references/agent-resume-optimization.md

代理4：模拟面试代理

触发词：模拟面试、面试准备、帮我练习面试

目标：基于简历提问，评估回答，反向优化简历

面试模式：常规面试、压力面试、针对性训练

工作方式：

开场自我介绍
针对简历各部分深挖细节
STAR框架行为面试问题
评估回答质量，识别简历弱点

输出：面试反馈 + 简历修改建议 + 更新版简历

详细指南：见 references/agent-mock-interview.md

代理5：能力提升代理

触发词：我想冲这个岗位、能力不够怎么办、怎么提升、差距分析

目标：分析与目标岗位的差距，制定具体可执行的提升计划

差距分类：

A类硬伤（学历、年限）→ 诚实告知，建议备选
B类可补（技能、项目经验）→ 制定学习计划
C类易补（工具使用、面试技巧）→ 短期突击

工作方式：

诊断差距并评估可行性
制定分阶段提升计划
推荐学习资源和项目实践
设定里程碑检查点

输出：《能力提升规划报告》（JSON格式，可生成Excel追踪表）

详细指南：见 references/agent-growth-planning.md

快速入口

用户需求	使用代理
"我不知道简历写什么"	代理1 → 代理3
"不知道找什么工作"	代理1 → 代理2
"帮我优化这份简历"	代理3
"我要投XX岗位"	代理3（需要JD）
"帮我准备面试"	代理4
"我想冲XX岗位但能力不够"	代理5
"完整求职辅导"	代理1 → 代理2 → 代理5 → 代理3 → 代理4

输出文件生成

代理完成后，使用以下脚本生成最终文件。必须使用提供的脚本，不得自行实现。

网页简历（推荐）⭐

bash
python scripts/current/create_web_resume.py --data resume_data.json --output resume.html

现代响应式设计，支持深色模式，适合在线分享和投递互联网公司。

PDF简历

bash
python scripts/current/create_pdf_resume.py --data resume_data.json --output resume.pdf

正式投递、打印、邮件附件。需要先配置字体（见环境配置）。

DOCX简历

bash
python scripts/current/create_docx_resume.py output.docx --data resume_data.json

需要继续编辑或传统企业投递。

Excel能力提升追踪表

bash
python scripts/current/create_growth_tracker.py --plan growth_plan.json --output tracker.xlsx

包含每周任务清单、进度追踪、里程碑检查。

数据格式

代理3和代理5会自动生成标准JSON格式数据。

简历数据：resume_data.json - 包含个人信息、教育、项目、经验、技能等

能力提升计划：growth_plan.json - 包含目标岗位、阶段计划、任务、资源等

详细格式说明见 references/data-formats.md，示例文件见 examples/ 目录。

故障排查

遇到问题时，查阅 references/troubleshooting.md 获取解决方案。

常见问题：

PDF生成失败 → 检查字体文件
脚本找不到 → 检查工作目录
JSON格式错误 → 参考示例文件
依赖包缺失 → 安装所需包

参考资源

代理详细指南

references/agent-story-mining.md - 故事挖掘代理完整流程
references/agent-job-recommendation.md - 职位推荐代理匹配算法
references/agent-resume-optimization.md - 简历优化代理优化原则
references/agent-mock-interview.md - 模拟面试代理提问技巧
references/agent-growth-planning.md - 能力提升代理规划方法

写作与参考

references/writing-guide.md - 简历写作指南
references/industry-keywords.md - 行业关键词参考

技术文档

references/troubleshooting.md - 故障排查完整指南
references/data-formats.md - JSON数据格式详细说明

示例文件

examples/resume_data_example.json - 简历数据标准格式
examples/fresh_graduate_example.json - 应届生简历示例
examples/experienced_example.json - 有经验求职者示例
examples/growth_plan_example.json - 能力提升计划示例
examples/USAGE_GUIDE.md - 使用指南

资源文件

assets/templates/*.html - 简历HTML模板（用于输出，不加载到上下文）
scripts/current/*.py - 简历生成脚本（可执行，必要时可读取）

Frequently asked questions

What does the Resume Assistant AI skill do?

智能简历助手,通过五个AI代理提供全流程求职支持:(1)故事挖掘-发现经历亮点;(2)职位推荐-匹配合适岗位;(3)简历优化-针对JD定制内容;(4)模拟面试-实战演练与反馈;(5)能力提升-差距分析与计划。适用于简历创建、优化、面试准备、职业规划等求职相关任务。

Why use Resume Assistant on TypingMind?

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

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

Which AI models can use Resume Assistant?

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 Assistant?

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

Is the Resume Assistant AI skill free?

Yes. It is published on GitHub by happycapy-ai 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.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

简历助手

⚠️ 重要使用规则

环境配置

代理概览

代理1：故事挖掘代理

代理2：职位推荐代理

代理3：简历优化代理

代理4：模拟面试代理

代理5：能力提升代理

快速入口

输出文件生成

网页简历（推荐）⭐

PDF简历

DOCX简历

Excel能力提升追踪表

数据格式

故障排查

参考资源

代理详细指南

写作与参考

技术文档

示例文件

资源文件

Frequently asked questions

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