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项目能做什么

本地运行的 AI 求职辅助框架,基于 Claude Code,支持职位评估、定制简历与面试准备。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
<p align="center">
  <img src="assets/readme/hero.svg" alt="AI Job Search. Pip the courier bird carries an application along a flight path to its destination. The job search that runs on your machine." width="100%">
</p>

<p align="center">
  <a href="https://github.com/ai-job-search-dev/ai-job-search/actions/workflows/ci.yml"><img src="https://github.com/ai-job-search-dev/ai-job-search/actions/workflows/ci.yml/badge.svg" alt="CI" height="20"></a>
  &nbsp;
  <a href="https://claude.com/claude-code"><img src="https://img.shields.io/badge/built_on-Claude_Code-2A9D8F?style=flat" alt="Built on Claude Code" height="20"></a>
  &nbsp;
  <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-2A9D8F?style=flat" alt="MIT license" height="20"></a>
</p>

<p align="center">
  <a href="https://trendshift.io/repositories/43622?utm_source=trendshift-badge&amp;utm_medium=badge&amp;utm_campaign=badge-trendshift-43622" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/trendshift/repositories/43622/daily" alt="MadsLorentzen%2Fai-job-search | Trendshift" width="250" height="55"/></a>
</p>

<p align="center">
  An AI-powered job application framework built on <a href="https://claude.com/claude-code">Claude Code</a>.<br>
  Fork it, fill in your profile, and let Claude evaluate job postings, tailor your CV,<br>
  write cover letters, and prepare you for interviews.
</p>

<p align="center">
  <a href="#quick-start"><b>Quick start</b></a>
  &nbsp;&nbsp;&nbsp;
  <a href="#commands"><b>Commands</b></a>
  &nbsp;&nbsp;&nbsp;
  <a href="#how-apply-works"><b>How /apply works</b></a>
  &nbsp;&nbsp;&nbsp;
  <a href="#customization"><b>Customization</b></a>
  &nbsp;&nbsp;&nbsp;
  <a href="SETUP.md"><b>Setup guide</b></a>
</p>

> [!NOTE]
> This is an independent open-source project and is not affiliated with, endorsed by, sponsored by, or maintained by Anthropic. Anthropic and Claude Code are referenced only to describe the toolchain this workflow uses.
>
> This project has **no affiliated cryptocurrency, token, or paid sponsorship program**. Anything claiming otherwise is unauthorized and should be treated as a scam. The only ways to support the project are the Ko-fi link below and contributing on GitHub.

## Does it actually work?

I'm a geophysicist by training. When my position was cut in late 2025, I built this framework to run my own job search - the same `/scrape`, `/apply`, and `/interview` workflow in this repo, used weekly, on my own career. I was upfront about it with every employer I spoke to, and instead of counting against me, it usually sparked a genuine technical conversation.

<p align="center">
  <img src="assets/readme/letters.svg" alt="69 envelopes for 69 tailored applications. 20 of them light up as first interviews, and one is sealed as the signed contract." width="100%">
</p>

Sixty-nine tailored applications, twenty first interviews, and one signed contract later, I started as an AI engineer in June 2026. Peopl
阅读完整原文

项目深度分析 规则生成(AI 未配置)

综合评分 45.0 分。该项目在“个人可实施性”维度得 60 分,“付费可能性”维度得 20.0 分,差异化空间 40.0 分(评分依据见评分卡)。

面向细分需求的二次开发产品

产品构想基于 ai-job-search 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断

封装为在线小工具或 API 服务

产品构想把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。
目标用户搜索引擎带来的长尾用户
难度/周期低 · 1~3 周
收费模式免费引流 + 增值功能 / API 按量计费
竞争风险同质化竞争,需做好 SEO
依据 AI 推测:基于技术栈与部署特征的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

竞品与相似项目 GitHub Search 真实检索

相似项目数据正在完善中,暂不展示(避免误导)

项目优势与风险

技术成熟度创建时间待补全,最近推送 ,发布过 13 个 Release
社区活跃Star 71,347 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。