AI Skill Hub 强烈推荐:智能求职助手 是一款优质的AI工具。在 GitHub 上收获超过 44.3k 颗 Star,AI 综合评分 8.2 分,在同类工具中表现稳健。如果你正在寻找可靠的AI工具解决方案,这是一个值得深入了解的选择。
基于Claude AI的开源求职系统,整合14种技能模式和Go语言仪表板,自动化处理职位搜索、简历优化、面试准备等环节。适合求职者、HR和职业发展从业者提升求职效率。
智能求职助手 是一款基于 JavaScript 开发的开源工具,专注于 AI智能体、工作流自动化、求职系统 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
基于Claude AI的开源求职系统,整合14种技能模式和Go语言仪表板,自动化处理职位搜索、简历优化、面试准备等环节。适合求职者、HR和职业发展从业者提升求职效率。
智能求职助手 是一款基于 JavaScript 开发的开源工具,专注于 AI智能体、工作流自动化、求职系统 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:npm 全局安装 npm install -g career-ops # 方式二:npx 直接运行(无需安装) npx career-ops --help # 方式三:项目依赖安装 npm install career-ops # 方式四:从源码运行 git clone https://github.com/santifer/career-ops cd career-ops npm install npm start
# 命令行使用
career-ops --help
# 基本用法
career-ops [options] <input>
# Node.js 代码中使用
const career_ops = require('career-ops');
const result = await career_ops.run(options);
console.log(result);
# career-ops 配置说明 # 查看配置选项 career-ops --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export CAREER_OPS_CONFIG="/path/to/config.yml"
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<p align="center"> <a href="https://x.com/santifer"><img src="docs/hero-banner.jpg" alt="career-ops Multi-Agent Job Search System" width="800"></a> </p>
<p align="center"> <em>I spent months applying to jobs the hard way. So I engineered the system I wish I had.</em><br> Companies use AI to filter candidates. <strong>I just gave candidates AI to <em>choose</em> companies.</strong><br> <em>Now it's open source.</em> </p>
<hr>
<p align="center"> <a href="HIRED.md"><img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fraw.githubusercontent.com%2Fsantifer%2Fcareer-ops%2Fmain%2Fdocs%2Fhired-count.json&query=%24.count&label=%F0%9F%8E%89%20HIRED%20WITH%20CAREER-OPS&suffix=%20verified&color=2ea44f&style=for-the-badge&labelColor=2b3137" alt="Hired with career-ops: verified count"></a> </p>
<p align="center"><sub>Landed yours? <a href="https://github.com/career-ops-hq/career-ops/issues/new?template=i-got-hired.yml">Share it →</a> · your card shows someone mid-search that the way out exists.</sub></p>
<p align="center"> <a href="HIRED.md"><img src="docs/hired-wall.svg" alt="The three most recent hired stories" width="800"></a> </p>
<p align="center"><sub>Every count is a public story you can <a href="HIRED.md">audit →</a> · every one of them started where you are now.</sub></p>
<p align="center"> <a href="https://trendshift.io/repositories/25195" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/repositories/25195" alt="santifer%2Fcareer-ops | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> </p>
<p align="center"> <a href="https://www.producthunt.com/products/santifer-io?utm_source=badge-featured&utm_medium=badge" target="_blank" rel="noopener noreferrer"><img src="docs/press/producthunt.svg" alt="career-ops on Claude | Product Hunt" style="width: 206px; height: 54px; vertical-align: middle;" width="206" height="54"/></a> </p>
<p align="center"><sub>FEATURED IN</sub></p>
<p align="center"> <a href="https://wired.com.gr/article/to-ai-ergaleio-pou-fernei-epanastasi-ston-tropo-pou-psachnoume-douleia/" rel="noopener noreferrer nofollow"><picture><source media="(prefers-color-scheme: dark)" srcset="docs/press/wired-dark.svg"><img src="docs/press/wired.svg" alt="WIRED" height="32"></picture></a> <a href="https://www.businessinsider.com/how-i-built-tool-filter-job-listings-landed-head-ai-2026-4" rel="noopener noreferrer nofollow"><picture><source media="(prefers-color-scheme: dark)" srcset="docs/press/business-insider-dark.svg"><img src="docs/press/business-insider.svg" alt="Business Insider" height="32"></picture></a> </p>
---
<p align="center"> <img src="docs/demo.gif" alt="career-ops Demo" width="800"> </p>
<p align="center"><strong>740+ job listings evaluated · 100+ personalized CVs · 1 dream role landed</strong></p>
<p align="center"><sub>Created and maintained by <a href="https://santifer.io">Santiago Fernández de Valderrama Aparicio</a> (<a href="https://github.com/santifer">@santifer</a>)</sub></p>
<p align="center"> <a href="https://warpchart.dev/hq"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://warpchart.dev/api/chart?theme=dark&v=3"> <img alt="Live star telemetry of career-ops-hq/career-ops" src="https://warpchart.dev/api/chart?theme=light&v=3" loading="lazy"> </picture> </a> </p>
<p align="center"> <a href="https://discord.gg/8pRpHETxa4"><img src="https://img.shields.io/badge/Join_the_community-Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a> </p>
<p align="center"> <a href="https://github.com/career-ops-hq/career-ops/releases/latest"><img src="https://img.shields.io/npm/v/%40santifer%2Fcareer-ops?style=for-the-badge&labelColor=2b3137&color=2ea44f&label=release" alt="Latest release"></a> </p>
<p align="center"> <a href="https://claude.com/claude-code"><img src="https://img.shields.io/badge/Built_with-Claude_Code-000?style=for-the-badge&logo=anthropic&logoColor=white" alt="Built with Claude Code"></a> </p>
<p align="center"> <sub>Also runs on any agent-skill-standard CLI. See <a href="docs/SUPPORTED_CLIS.md">Supported CLIs</a>.</sub><br> <img src="https://img.shields.io/badge/Claude_Code-000?style=flat&logo=anthropic&logoColor=white" alt="Claude Code"> <img src="https://img.shields.io/badge/OpenCode-111827?style=flat&logo=terminal&logoColor=white" alt="OpenCode"> <img src="https://img.shields.io/badge/Antigravity_CLI-4285F4?style=flat&logo=google&logoColor=white" alt="Antigravity CLI"> <img src="https://img.shields.io/badge/Codex-412991?style=flat&logo=openai&logoColor=white" alt="Codex"> <img src="https://img.shields.io/badge/Qwen-615CED?style=flat" alt="Qwen"> <img src="https://img.shields.io/badge/Kimi-FF4B4B?style=flat" alt="Kimi"> <img src="https://img.shields.io/badge/GitHub_Copilot-000?style=flat&logo=githubcopilot&logoColor=white" alt="GitHub Copilot"> <img src="https://img.shields.io/badge/Grok_Build_CLI-000?style=flat&logo=x&logoColor=white" alt="Grok Build CLI"> <br> <img src="https://img.shields.io/badge/Node.js-339933?style=flat&logo=node.js&logoColor=white" alt="Node.js"> <img src="https://img.shields.io/badge/Go-00ADD8?style=flat&logo=go&logoColor=white" alt="Go"> <img src="https://img.shields.io/badge/Playwright-2EAD33?style=flat&logo=playwright&logoColor=white" alt="Playwright"> <img src="https://img.shields.io/badge/Bubble_Tea-FF75B5?style=flat&logo=go&logoColor=white" alt="Bubble Tea"> <img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="MIT"> <a href="TRADEMARK.md"><img src="https://img.shields.io/badge/Trademark-Policy-blue.svg" alt="Trademark Policy"></a> </p>
node gemini-eval.mjs "We are looking for a Senior AI Engineer..." node gemini-eval.mjs --file ./jds/my-job.txt node agent-inbox.mjs add "..." # queue a request for the next session npm run gemini:eval -- "JD text here" ```
Free tier: Both options work without billing. Native CLI uses Google OAuth; the API script uses gemini-3.6-flash (rate limits are model- and tier-dependent; see Google AI docs for current quotas).
I'm Santiago Fernández de Valderrama Aparicio (santifer) -- Head of Applied AI, former founder (built and sold a business that still runs with my name on it). I built career-ops to manage my own job search. It worked: I used it to land my current role.
Curious how this repo is maintained in ~4 hours a week? Read Agentic maintenance: how career-ops is run by a fleet of AI agents.
My portfolio and other open source projects → santifer.io
Wikidata: Santiago Fernández de Valderrama Aparicio · career-ops.
| Feature | Description |
|---|---|
| **Auto-Pipeline** | Paste a URL, get a full evaluation + PDF + tracker entry |
| **A-H Evaluation** | Role summary, CV match (with how much each requirement matters for this posting, and whether that weight came from the JD's own wording, its structure, or an estimate — labelled per requirement, and an estimate can never be top-band), level strategy, comp research, personalization, interview prep (STAR+R) -- plus a Block G posting-legitimacy check that flags scams and ghost jobs, and a Work-Auth signal that flags an explicit no-sponsorship JD as a hard blocker |
| **Interview Story Bank** | Accumulates STAR+Reflection stories across evaluations -- 5-10 master stories that answer any behavioral question |
| **Negotiation Scripts** | Salary negotiation frameworks, geographic discount pushback, competing offer leverage |
| **ATS PDF Generation** | Keyword-injected CVs with Space Grotesk + DM Sans design |
| **Cover Letter Generator** | Research-backed cover letters with keyword mirroring, four interactive angle prompts (why/problems/approach/tone), draft-in-chat approval gate, and A4 PDF via the same HTML + Playwright pipeline as CVs. Auto-drafts on every evaluation; complete and generate on demand via /career-ops cover |
| **Application Email Drafts** | Formal recruiter/referral/cold application emails from a report or pasted JD, with subject line, attachment checklist, source-backed fit points, and a profile-driven contact block. Draft-only -- career-ops never sends, submits, or clicks anything. |
| **Portal Scanner** | 100+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Retool, n8n...) + custom queries across Ashby, Greenhouse, Lever, Wellfound |
| **Funded Company Discovery** | Review-first company:funded command surfaces recently funded companies and source diagnostics from structured public feeds without editing your data |
| **Batch Processing** | Parallel evaluation with headless CLI workers (claude -p / opencode run) |
| **Dashboard TUI** | Terminal UI to browse, filter, and sort your pipeline |
| **Human-in-the-Loop** | AI evaluates and recommends, you decide and act. The system never submits an application -- you always have the final call |
| **Pipeline Integrity** | Automated merge, dedup, status normalization, health checks |
| **Interview Suite** | Time-blocked prep plans, practice sessions with feedback, post-interview debriefs ([interview/](modes/interview/README.md)), and a company red-flag detector ([interview-redflag](modes/interview-redflag.md)) |
| **Offer Stage** | Contract reading companion -- clause walk plus a lawyer question list ([offer-prep](modes/offer-prep.md)) -- and a desired/advertised/actual salary-gap analyzer (salary-gap.mjs) |
| **Follow-ups & Replies** | Follow-up cadence calculator and seeded reminders (followup-cadence.mjs, followup-seed.mjs); employer reply classification into tracker updates ([reply-watch](modes/reply-watch.md)) |
| **Pattern Analysis** | Rejection patterns and per-ATS-channel advance rates (analyze-patterns.mjs), lifetime funnel stats (stats.mjs), repost/ghost-job detection (detect-reposts.mjs) |
| **Plugin System** | Opt-in integrations (Gmail, Notion, Apify + a community registry), disabled by default -- see [docs/PLUGINS.md](docs/PLUGINS.md) |
| **Beyond the CV** | Company research ([deep](modes/deep.md)) surfaces AI strategy, recent moves, engineering culture, and the angle your profile should take. Contact discovery ([contacto](modes/contacto.md)) identifies the hiring manager, recruiter, or team peer worth reaching out to and drafts a ≤300-character LinkedIn message tuned to each contact type. Formal application email drafts ([email](modes/email.md)) turn an evaluated report or pasted JD into a subject line, body, and attachment checklist without sending, submitting, or clicking anything. Applications get you in the queue; research gets you a conversation. |
npm install
npm run doctor # Validates all prerequisites
npm i -g @santifer/career-ops
This installs the career-ops binary globally so you can run it directly instead of via npx. Unlike npx @santifer/career-ops init (which bootstraps a project directory), the global install gives you a persistent career-ops command available anywhere in your terminal.
Which one should you use? - npx @santifer/career-ops init — best for first use; creates a dedicated project folder. - npm i -g @santifer/career-ops — best once you have a project folder and want to run career-ops commands directly.
The system is designed to be customized by your AI coding CLI itself. Modes, archetypes, scoring weights, negotiation scripts -- just ask it to change them. It reads the same files it uses, so it knows exactly what to edit.
See docs/SETUP.md for the full setup guide, docs/RUNNING_ON_A_BUDGET.md for instructions on running career-ops cheaply using custom or local models (and docs/FREE_TIER.md for running it at zero cost on Antigravity CLI's free tier), docs/AUTOMATION.md for scheduling recurring scans and a zero-token triage-to-shortlist recipe, docs/APPLY_AUTOFILL.md for details on the ATS auto-fill flow, docs/LINKEDIN_JOIN.md for cross-referencing a LinkedIn connections export against the companies in your funnel, and docs/FAQ.md for answers to common setup questions, including how story provenance prevents invented numbers. Design principles live in ARCHITECTURE.md; runtime flows in docs/ARCHITECTURE.md.
career-ops supports Grok Build CLI natively, the same way it supports Claude Code and OpenCode. AGENTS.md is auto-loaded as project rules, and all slash commands are available through the shared skill entrypoint.
```bash
```bash
Fastest way — one command:
npx @santifer/career-ops init
💡 npx ships with Node.js — it runs the installer once, without installing anything globally. No Node yet? Install it first. (Already using a Claude Code / Gemini / Codex CLI? Then you already have it.)
This clones the latest release into ./career-ops and installs dependencies. Then:
cd career-ops
claude # or codex / qwen / opencode / agy / grok — open your AI CLI here
On first launch, career-ops walks you through setup — your CV, profile and target roles — just by chatting. Nothing to edit by hand.
<details> <summary><b>Prefer to set it up manually? (git clone)</b></summary>
```bash git clone https://github.com/career-ops-hq/career-ops.git cd career-ops && npm install npx playwright install chromium # only needed for PDF generation
career-ops uses a shared command router. In CLIs that register slash commands, it looks like this:
/career-ops → Show all available commands
/career-ops {paste a JD} → Full auto-pipeline (evaluate + PDF + tracker)
/career-ops scan → Scan portals for new offers
/career-ops pdf → Generate ATS-optimized CV
/career-ops cover → Cover letter generator (paste JD or /career-ops cover {slug})
/career-ops email → Formal application email draft (draft-only; never sends, submits, or clicks)
/career-ops batch → Batch evaluate multiple offers
/career-ops tracker → View application status
/career-ops apply → Fill application forms with AI
/career-ops outcome → Record application outcome & archive artifacts
/career-ops pipeline → Process pending URLs
/career-ops contacto → Find hiring manager / recruiter / peer + draft a ≤300-char LinkedIn message per contact type
/career-ops deep → Generate a structured 6-axis research prompt (AI strategy, recent moves, culture, challenges, competitors, candidate angle)
/career-ops training → Evaluate a course/cert
/career-ops project → Evaluate a portfolio project
Or just paste a job URL or description directly -- career-ops auto-detects it and runs the full pipeline.
In Codex, slash commands are not guaranteed. Use the same mode names in a prompt instead, or call them from codex exec.
cp config/profile.example.yml config/profile.yml # Edit with your details cp templates/portals.example.yml portals.yml # Customize companies
The scanner comes with 100+ companies ready to scan and 45+ search queries across major job boards. Copy templates/portals.example.yml to portals.yml and add your own:
AI Labs: Anthropic, OpenAI, Mistral, Cohere, LangChain, Pinecone Voice AI: ElevenLabs, PolyAI, Parloa, Hume AI, Deepgram, Vapi, Bland AI AI Platforms: Retool, Airtable, Vercel, Temporal, Glean, Arize AI Contact Center: Ada, LivePerson, Sierra, Decagon, Talkdesk, Genesys Enterprise: Salesforce, Twilio, Gong, Dialpad LLMOps: Langfuse, Weights & Biases, Lindy, Cognigy, Speechmatics Automation: n8n, Zapier, Make.com European: Factorial, Attio, Tinybird, Clarity AI, Travelperk
Job boards searched: 55+ provider modules cover ATS APIs, board-wide feeds, XML/RSS feeds, markdown feeds, and local parsers. See Supported job boards for the full table.
By default node scan.mjs (a.k.a. npm run scan) trusts what each ATS feed returns. Some companies leave stale postings in their public API even after the role is closed, so those expired entries can leak into pipeline.md. Pass --verify to launch Playwright after the API pass and drop expired postings before they hit the pipeline:
node scan.mjs --verify # zero-token discovery + Playwright liveness check
The verification is sequential and only runs against new offers (after dedup), so the cost stays bounded.
By default, user-layer data (such as cv.md, portals.yml, and data/ / reports/ / output/ folders) lives inside the project root folder.
To separate your personal data from the code (making it easier to switch branches, pull updates, or test multiple profiles), you can configure an external data directory using the following precedence:
1. Environment Variables: Set the CAREER_OPS_ROOT or CAREER_OPS_DATA_DIR environment variable:
export CAREER_OPS_ROOT=~/my-career-data
2. Marker File: Create a .career-ops-data file in the repository root containing the path to your data directory. 3. Default: Defaults to the repository root.
Once resolved, all user files are resolved and written relative to that folder, while prompt files and scripts continue to resolve relative to the repository.
CAREER_OPS_TRACKER to override the applications tracker file path directly.{DATA_ROOT}/data/applications.md.The Go dashboard TUI, Node.js scripts, and AI agent modes all automatically respect this resolution hierarchy.
claude # or codex / opencode / qwen / agy / grok
career-ops supports Antigravity CLI natively, the same way it supports Claude Code and OpenCode. All slash commands are available through the shared skill entrypoint, using the same modes/*.md evaluation logic.
Google has transitioned consumer Gemini CLI access to Antigravity CLI. GEMINI.md is now a no-op compatibility guard so Antigravity does not duplicate the full project instructions when it reads both AGENTS.md and GEMINI.md.
cp .env.example .env
career-ops supports Codex through the same shared router, but the invocation model is different from CLIs that auto-register slash commands. For the full guide, see docs/CODEX.md.
What is career-ops? career-ops is an open-source AI job search that runs locally in your AI coding CLI (Claude Code, Codex, OpenCode and others) and leaves every decision to you. It evaluates job offers against your CV, generates ATS-tailored PDFs, finds the right person to contact, and tracks everything in one place: you always have the final call. It is the first reference implementation of the CareerOps Manifesto. More at career-ops.org.
Can I run career-ops for free, or on a cheaper / local model? Yes. career-ops is CLI-agnostic and runs on free and local models — via OpenRouter free models, Ollama, or any OpenAI-compatible endpoint — so you are not tied to a paid subscription. See docs/RUNNING_ON_A_BUDGET.md for the full setup.
I pay for Claude Pro/Max but career-ops is burning API credits. Why? Because an ANTHROPIC_API_KEY in your environment takes precedence over your logged-in subscription: the CLI uses the key and bills per token. Run echo $ANTHROPIC_API_KEY, and if it prints anything, remove it from your shell profile, restart the terminal and run /login. Batch mode is the exception, since claude -p workers do not use the interactive login: run claude setup-token once and export the result as CLAUDE_CODE_OAUTH_TOKEN. Full walkthrough in docs/RUNNING_ON_A_BUDGET.md.
Which AI CLIs does career-ops work with? career-ops runs on any major AI coding CLI — Claude Code, Codex, Gemini / Antigravity, OpenCode, Grok, Qwen and more — through the open Agent Skill Standard, so it is never locked to a single vendor. Use the CLI you already have.
How do I install career-ops on Windows? career-ops runs on Windows. Platform-specific setup and the known sharp edges — Git Bash discovery, line endings, Task Scheduler — are in docs/WINDOWS.md. If skills fail to load with a symlink error during install, the fix is in docs/FAQ.md. Full steps are in docs/SETUP.md.
Does career-ops auto-apply to jobs for me? No. career-ops is a filter, not a spray-and-pray auto-applier. The AI evaluates, ranks and drafts; you review and decide. It never submits, sends, or clicks anything — you always have the final call. That human-in-the-loop design is the whole point.
Is career-ops free and open source? Yes. career-ops is free and open source, and for the candidate it always will be — it is the first reference implementation of the CareerOps Manifesto. Read it, and if it says what you believe, sign it.
Career-Ops 是一个基于 Multi-Agent(多智能体)架构的智能求职系统。该项目由资深 AI 专家 Santiago 开发,旨在通过自动化流程辅助求职者进行职位评估、简历优化及面试准备。它不仅能自动分析职位描述(JD),还能生成针对性的面试策略,帮助开发者在激烈的求职竞争中脱颖而出,实现高效、智能的职业转型。
Career-Ops 提供了一套完整的自动化求职流水线。其核心功能包括:Auto-Pipeline 模式,只需粘贴职位 URL 即可自动完成职位评估、生成 PDF 报告并同步至追踪器;6-Block Evaluation 深度评估模块,涵盖职位总结、简历匹配度分析、职级策略、薪资调研、个性化内容生成以及基于 STAR+R 模型的面试准备,确保求职过程全方位覆盖。
在使用 Career-Ops 之前,请确保您的开发环境已安装 Node.js 及 npm。此外,由于系统涉及 PDF 生成功能,需要通过 npx playwright 安装 chromium 浏览器内核。建议在运行前通过 npm run doctor 命令进行环境自检,以确保所有前置依赖项均已正确配置。
首先,通过 git clone 克隆项目仓库并进入目录,执行 npm install 安装依赖,随后运行 npx playwright install chromium 以支持 PDF 生成。安装完成后,请务必运行 npm run doctor 进行环境校验。若需使用 Gemini CLI 功能,请通过 npm install -g @google/gemini-cli 进行全局安装。
Career-ops 通过单斜杠命令进行交互,支持多种模式。使用 `/career-ops` 可查看所有可用命令;输入 `/career-ops {JD内容}` 可启动全自动流水线(评估+PDF+追踪器);`/career-ops scan` 用于扫描门户网站新职位;`/career-ops pdf` 用于生成针对 ATS 优化的简历;`/career-ops batch` 支持批量评估职位;`/career-ops tracker` 查看申请状态;`/career-ops apply` 则用于辅助填写申请表。
项目配置分为个人资料与模板两部分。首先需将 config/profile.example.yml 复制为 config/profile.yml 并编辑个人信息;同时将 templates/portals.example.yml 复制为 portals.yml 以自定义目标公司。对于 API 密钥配置,请将 .env.example 复制为 .env,并在其中设置 GEMINI_API_KEY。系统支持通过 Native Gemini CLI 进行集成,逻辑由 modes/*.md 驱动。
Career-ops 原生支持 Gemini CLI 集成,其交互体验与 Claude Code 及 OpenCode 一致。系统内置了 15 种斜杠命令模式,所有评估逻辑均通过 modes/*.md 模块化实现。开发者可以通过配置 Google AI Studio 获取的 API Key 来驱动核心的 Gemini 模型能力,实现高效的文本分析与逻辑推理。
创新的AI求职助手,集成多模态功能和可视化仪表板。高星数体现社区认可,Claude驱动保证质量。适合规模化应用。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,智能求职助手 是一款质量优秀的AI工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | career-ops |
| 原始描述 | 开源AI工作流:AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard,。⭐44.3k · JavaScript |
| Topics | AI智能体工作流自动化求职系统Claude职业发展 |
| GitHub | https://github.com/santifer/career-ops |
| License | MIT |
| 语言 | JavaScript |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。