DeepSeek Harness Remote
DeepSeek Harness Remote 可将手机或另一台电脑与你运行 DeepSeek Harness 的电脑安全连接,随时随地继续你的工作,方便随时查看进度并继续工作。
AI 翻译
尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证AI-powered career command center: application pipeline, skills vault, network CRM and interview prep (Next.js, Supabase, Gemini)
翻译准备中
取自仓库 README
正在加载完整 README。
查看完整 README ↗A command center for a job search: track applications, keep a reusable profile, manage your network, and prepare for interviews with an AI assistant on top of your own data.
| Module | Purpose |
|---|---|
| Apply Hub | Application pipeline as Kanban stages, with job-description intelligence |
| Bio-Vault | Acquired skills with supporting evidence and a growth roadmap, with skill matching against job descriptions |
| Network CRM | Contacts and referrals, with AI-assisted profile parsing |
| Interview Guide | Generates interview answers from your own profile, with answer-length control and keyword highlights |
| Orchestrator | An AI assistant that plans and executes actions across the modules from a chat prompt |
| Ops Watch | Admin area with its own login and connection logs |
Each user's workspace is private to their account through Supabase Row Level Security.
@google/generative-ai, with a planner/executor orchestrator (src/lib/ai)src/lib/ai holds the orchestrator: a prompt and JSON schema for the plan, a normalizer that repairs model output, and an executor that runs the plan against the database.parse-model-json) because LLMs return malformed JSON more often than expected.supabase/. npm run db:provision bundles and applies them.NEXT_PUBLIC_* variables are exposed.git clone https://github.com/alisfand99/CareerHub.git
cd CareerHub
npm install
cp .env.example .env.local # then fill in your own Supabase and Gemini keys
npm run dev # http://localhost:3005
Optional: npm run db:provision creates the tables in your Supabase project, and supabase/seed_dummy.sql loads sample data.
Working prototype built for personal use. Not yet deployed as a public service.