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Job Search Assistant

这是一款终端端全流程求职工具，核心功能包含三类：申请跟踪（增删改查、状态统计）、求职准备（简历优化、求职信模板、分类型面试指导、薪资谈判技巧）、研究规划（排查岗位招聘红flag、生成周求职计划）。通过终端命令交互，输出文本结果，数据本地存储无外部依赖，适用于求职起步、面试准备、撰写申请材料等各类求职场景。

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bytesagain
热度 68.59
最近更新 2026-03-18 18:46:56
分类：生活依赖：代码执行 / 读写文件应用场景：任务管理 / 模板 / 研究 / 邮件起草 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add job-search-assistant
Metadata
version
2.0.0
name
job-search-assistant
description
Streamline job hunting with resume tailoring, cover letters, and tracking. Use when tailoring resumes, writing covers, or tracking job applications.
author
BytesAgain
homepage
https://bytesagain.com
source
https://github.com/bytesagain/ai-skills

Job Search Assistant

A complete job search tracker and career toolkit. Track applications, get resume tips, generate cover letter templates, prepare for interviews, learn salary negotiation tactics, spot red flags in job postings, and plan your weekly job search — all from the terminal.

Commands

Track Applications

Command Description
job-search-assistant add <company> <role> [status] Add a job application (default status: applied)
job-search-assistant update <company> <status> Update the status of an existing application
job-search-assistant list [status] List all applications, optionally filtered by status
job-search-assistant stats Show application statistics (total, by status)

Career Preparation

Command Description
job-search-assistant resume <role> Get resume tips (one-page rule, quantify impact, ATS-friendly format)
job-search-assistant cover-letter <company> <role> Generate a cover letter template for a specific company and role
job-search-assistant interview <type> Interview prep — behavioral (STAR method) or technical (LeetCode, system design)
job-search-assistant questions <role> Get a Glassdoor search suggestion for common interview questions
job-search-assistant negotiate Salary negotiation tips (market research, counter-offer strategy, total comp)

Research & Planning

Command Description
job-search-assistant red-flags Common red flags in job postings to watch out for
job-search-assistant weekly-plan A structured weekly job search plan (Mon–Fri breakdown)
job-search-assistant help Show the built-in help message
job-search-assistant version Print the current version

Data Storage

Application data is stored in $DATA_DIR/applications.txt as pipe-delimited records (date|company|role|status). Activity history is logged to $DATA_DIR/history.log. The default data directory is ~/.local/share/job-search-assistant/. Override it by setting the JOB_DIR environment variable.

Requirements

  • Bash 4+ with standard Unix utilities (date, wc, grep, sed)
  • No external dependencies or API keys required
  • Works on any Linux/macOS terminal

When to Use

  1. Starting a job search — Use weekly-plan to structure your week and add to begin tracking every application you submit.
  2. Preparing for an interview — Run interview behavioral or interview technical to get prep frameworks (STAR method, LeetCode tips, system design advice).
  3. Writing application materials — Use resume <role> for tailoring tips and cover-letter <company> <role> for a ready-to-customize template.
  4. Evaluating a job posting — Run red-flags to check a posting against common warning signs like vague descriptions, "we're a family", or no salary range.
  5. Negotiating an offer — Use negotiate for tactics on countering offers, understanding total compensation, and negotiating perks like WFH and PTO.

Examples

# Add a new application
job-search-assistant add Google "Software Engineer" applied

# Update status after an interview
job-search-assistant update Google interview

# List all applications with "interview" status
job-search-assistant list interview

# View application statistics
job-search-assistant stats

# Get resume tips
job-search-assistant resume "Backend Developer"

# Generate a cover letter template
job-search-assistant cover-letter Stripe "Product Manager"

# Prepare for a behavioral interview
job-search-assistant interview behavioral

# Get salary negotiation advice
job-search-assistant negotiate

# Check job posting red flags
job-search-assistant red-flags

# Get a weekly search plan
job-search-assistant weekly-plan

How It Works

Job Search Assistant stores all data locally in plain text files. Applications are pipe-delimited for easy parsing. Every command is logged with timestamps so you can track your search activity over time. No data leaves your machine — everything stays in your local data directory.

Configuration

Set JOB_DIR to change the data directory:

export JOB_DIR=/custom/path

Default: ~/.local/share/job-search-assistant/

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