automate applying to jobs with email — automate 应用lying to jobs with emAIl
v1.0.0Automated job 应用 助手. 搜索es for jobs on LinkedIn, Indeed, Glassdoor, Wellfound, 代理ur für Arbeit, and direct URLs, composes personalised 应用 emAIls with CV attached, 发送s via GmAIl SMTP, and mAIntAIns a JSON 追踪er. Use when: 应用ly to jobs, find jobs, job 搜索, 检查 追踪er, 更新 应用, 发送 应用 emAIl, or 检查 inbox for job replies.
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job-emAIl-应用ly
Automated job 应用 工作流 — 搜索, draft, 发送, 追踪.
How It Works 搜索 — 扫描s job boards for matching 角色s Score — 过滤器s by relevance threshold (0.75) Draft — Composes a tAIlored emAIl using templates 发送 — Delivers via GmAIl SMTP with CV attached 追踪 — 记录s every 应用 in 应用s.json
Review Mode: First 3 应用s go to you for 应用roval before 发送ing. Auto Mode: After that, emAIls 发送 immediately.
File Map job-emAIl-应用ly/ ├── 技能.md ├── README.md ├── 应用s.json ← 追踪er database (auto-创建d on first 运行) └── references/ ├── job-性能分析.md ← YOUR 性能分析 & personal data (fill this in) ├── emAIl-templates.md ← emAIl templates ├── 追踪er-commands.md ← 追踪er 模式 & operations └── 平台-notes.md ← 平台 tips & tar获取 companies
设置up (First 运行) Copy references/config.md → references/CONFIG.md and fill in your detAIls Drop your CV PDF into references/ — 更新 config.md with the filename Review references/平台-notes.md and 添加 your tar获取 companies See README.md for full 设置up instructions Core 工作流 代理 Instructions
When invoked, follow this sequence:
STEP 1 — Load 上下文 Read these files before anything else:
references/emAIl-templates.md references/追踪er-commands.md references/平台-notes.md references/CONFIG.md 应用s.json
STEP 2 — 搜索 检查: LinkedIn, Indeed, Glassdoor, Wellfound, 代理ur für Arbeit, direct URLs. Score each 列出ing. Discard below 0.75. Dedup agAInst 应用s.json.
STEP 3 — Per 列出ing
Find 应用 emAIl 提取 key 技能s from JD Select template (cold / 启动up / referral) Compose tAIlored emAIl (< 200 words) Attach CV from references/ 发送 via GmAIl SMTP → to 应用 emAIl, BCC personal emAIl 记录 to 应用s.json with 状态 应用LIED
STEP 4 — 检查 inbox Process replies: interview 请求s, rejections, spam. 更新 状态es. Alert on anything needing attention.
STEP 5 — 会话 summary 输出 summary. 记录 to 应用s.json 会话_记录.
Scoring Criteria (0.0–1.0) Factor Weight 角色 title match 0.25 Stack overlap 0.25 Location match 0.20 Seniority fit 0.15 Salary in range 0.10 Company 质量 0.05
Hard disqualifiers: Junior/Graduate title, 10+ years required, on-site outside tar获取s, company on exclude 列出.
ConstrAInts Max 15 应用s per 会话 No re-应用ly within 60 days (unless previous was REJECTED) CV must attach — abort and 记录 EMAIL_发送_FAILED if it fAIls Never fabricate experience or 技能s Review mode: first 3 require user 应用roval before 发送ing