← 回總覽

Career-Ops:基于 Claude Code 的 AI 求职自动化系统

📅 2026-04-06 09:45 meng shao 人工智能 5 分鐘 5120 字 評分: 88
Career-Ops AI Agent Claude Code Job Search Automation
📌 一句话摘要 Career-Ops 是一个基于 Claude Code 的开源 AI 求职系统,通过管道式工作流实现职位评估、简历定制及面试准备全链路自动化。 📝 详细摘要 该推文推荐了由 Santiago 开发的开源 AI 求职工具 Career-Ops。该系统利用 Claude Code 的 Agent 能力,构建了从职位识别、智能评估、ATS 优化简历生成到面试准备的全链路自动化工作流。其核心亮点在于结构化的评分决策系统,帮助求职者从海量职位中筛选高匹配度机会,并提供了完整的 TUI 仪表盘和批量处理能力,是 AI Agent 在个人生产力场景的典型应用。 📊 文章信息 AI 评

Title: Career-Ops: AI-Powered Job Search Automation Based on Cla...

URL Source: https://www.bestblogs.dev/status/2040969019876937903

Published Time: 2026-04-06 01:45:08

Markdown Content: Skip to main content ![Image 1: LogoBestBlogs](https://www.bestblogs.dev/ "BestBlogs.dev")Toggle navigation menu Toggle navigation menuArticlesPodcastsVideosTweetsSourcesNewsletters

⌘K

Change language Switch ThemeSign In

Narrow Mode

Career-Ops: AI-Powered Job Search Automation Based on Claude Code

Career-Ops: AI-Powered Job Search Automation Based on Claude Code

![Image 2: meng shao](https://www.bestblogs.dev/en/tweets?sourceId=SOURCE_65e681) ### meng shao

@shao__meng

AI Agent 求职自动化系统 Career-Ops @santifer 基于 Claude Code 开源的 AI 求职工具,同样适用于 Codex / Cursor 等支持 Skills 的 Agents。Career-Ops 把 Agent 转化为完整求职指挥中心,强调精准匹配——通过结构化评估帮助求职者只申请真正适合的职位。

Santiago 是一位 Head of Applied AI,他曾用这套系统评估了 740+ 个职位,生成了 100+ 份定制简历,最终成功获得了 Head of Applied AI 的职位。

开源地址:github.com/santifer/caree…

核心功能架构(管道式工作流)

  • 输入层
· 职位识别:自动检测 URL 或文本描述,分类为 6 种原型(LLMOps/Agentic/PM/SA/FDE/Transformation)

· 多源接入:支持单条粘贴、批量导入、门户扫描三种输入方式

  • 处理层
· 智能评估:A-F 评分体系,基于 10 个加权维度(匹配度、 gaps、薪酬、职级等)

· 内容生成:ATS 优化 PDF(关键词注入)、STAR+R 面试故事、谈判脚本

· 数据沉淀:自动累积面试故事库,形成可复用的行为面试素材

  • 输出层
· 三件套交付:评估报告(Markdown)+ 定制简历(PDF)+ 追踪记录(TSV)

· 仪表盘可视化:Go 开发的 TUI 界面,支持筛选、排序、状态管理

  • 扩展层
· 14 种 Skills 模式:从单职位评估到深度公司研究,覆盖求职全场景

· 批量并行:通过 claude -p workers 实现多职位并发处理

项目结构

career-ops/

├── CLAUDE.md # Agent 指令

├── cv.md # 你的简历(需创建)

├── config/ # 配置文件

├── modes/ # 14 个技能模式

├── templates/ # 模板文件

├── batch/ # 批处理工具

├── dashboard/ # Go TUI 仪表盘

├── data/ # 追踪数据

├── reports/ # 评估报告

├── output/ # 生成 PDF

└── docs/ # 文档

这个项目提供了从职位发现、评估、简历定制到面试准备的全链路支持。其最大的价值在于结构化决策——通过评分系统帮助求职者聚焦于高匹配度机会,而非盲目投递,如果你也在求职中,不妨试试看。Show More

!Image 3: Tweet image

!Image 4: ℏεsam

#### ℏεsam

@Hesamation · 12h ago

bro created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job.

AND IT'S NOW OPEN-SOURCE.

It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has:

> 14 skill modes (evaluate, scan, PDF, ...)

> Go terminal dashboard

> ATS-optimized PDF generation via Playwright

> 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...)

GitHub: github.com/santifer/caree…Show More

!Image 5: 视频缩略图

00:22

139

804

10.6K

1.3M

Apr 6, 2026, 1:45 AM View on X

1 Replies

4 Retweets

22 Likes

2,037 Views ![Image 6: meng shao](https://www.bestblogs.dev/en/tweets?sourceid=65e681) meng shao @shao__meng

One Sentence Summary

Career-Ops is an open-source AI job search system built on Claude Code, enabling end-to-end automation of job evaluation, resume customization, and interview preparation through a pipeline workflow.

Summary

This tweet recommends Career-Ops, an open-source AI job search tool developed by Santiago. Leveraging the agentic capabilities of Claude Code, the system builds an end-to-end automated workflow covering job identification, intelligent evaluation, ATS-optimized resume generation, and interview preparation. Its core strength lies in its structured scoring and decision-making system, which helps job seekers filter high-match opportunities from a sea of listings. It also provides a complete TUI dashboard and batch processing capabilities, serving as a prime example of AI Agents applied to personal productivity.

AI Score

88

Influence Score 9

Published At Today

Language

Chinese

Tags

Career-Ops

AI Agent

Claude Code

Job Search

Automation HomeArticlesPodcastsVideosTweets

Career-Ops: AI-Powered Job Search Automation Based on Cla...

查看原文 → 發佈: 2026-04-06 09:45:08 收錄: 2026-04-06 12:00:56

🤖 問 AI

針對這篇文章提問,AI 會根據文章內容回答。按 Ctrl+Enter 送出。