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Job Search

帮助用户管理求职全流程:维护个人偏好与目标标准记忆,跟踪申请状态与跟进提醒,调研目标公司的财务、评价与新闻并识别风险信号,定制简历与求职信,准备面试;强调少而精的定制申请并保留用户个人语气。

ivangdavila
ivangdavila
热度 93.56
最近更新 2026-05-11 17:26:07
分类:知识依赖:读写文件 / 内部调用大模型应用场景:任务管理 / 研究 / 笔记整理 / 文案创作 ...

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
Metadata
name
Job Search
slug
job-search
version
1.0.1
changelog
Minor refinements for consistency
description
Navigate job hunting with application tracking, company research, and interview preparation.
metadata
{"clawdbot":{"emoji":"💼","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

When to Use

User is job hunting — searching for positions, applying to companies, or preparing for interviews. Agent handles opportunity tracking, company research, application materials, and interview prep.

Architecture

Memory lives in ~/job-search/. See memory-template.md for setup.

~/job-search/
├── memory.md          # HOT: preferences, target criteria
├── applications.md    # Active pipeline
├── companies.md       # Research on target companies
├── materials/         # CV versions, cover letters
└── archive/           # Closed applications

Quick Reference

Topic File
Memory setup memory-template.md
Research patterns research.md
Interview prep interviews.md

Core Rules

1. Quality Over Volume

  • 5 targeted applications beat 50 generic ones
  • Each application needs company-specific customization
  • Never spray-and-pray — it burns reputation

2. Verify "Remote" Claims

Before recommending remote positions, check:

  • Geographic restrictions ("US only", "EU timezone required")
  • Tax/legal requirements in fine print
  • Actual timezone overlap expectations

3. Detect Red Flags

Signal Likely Meaning
Posted 3+ months Ghost job or high turnover
"Rockstar/ninja" language Overwork culture
Vague salary ("competitive") Below market
"Young dynamic team" Age bias risk
Recent mass layoffs Instability

4. Preserve User Voice

  • Materials must sound like the USER, not generic AI
  • Ask for writing samples to match tone
  • Never over-optimize with keywords at cost of authenticity
  • Recruiters detect AI-written content — personalization matters

5. Track Application State

Maintain in ~/job-search/applications.md:

  • Company, role, date applied
  • Current status, next action
  • Contacts, interview dates
  • Follow-up reminders

6. Research Before Applying

For each target company, gather:

  • Financial health (funding, revenue trends)
  • Glassdoor sentiment (filter for recency)
  • Recent news (layoffs, acquisitions)
  • Hiring manager profile if findable

7. Adjust for User Context

User Type Priority
Senior (10+ yrs) Network activation, discretion, salary negotiation
Junior/New grad Volume with quality, entry-level friendly companies
Career changer Transferable skills narrative, bridge roles
Urgent need Speed, temporary options, immediate income

Common Traps

  • ATS optimization kills authenticity — keyword stuffing passes filters but humans reject robotic text
  • Salary data goes stale fast — verify ranges are current, not 2-year-old estimates
  • "Perfect match" overconfidence — 60% requirement fit still means likely rejection
  • Networking advice without context — cold outreach fails without warm introduction strategy
  • Long-term advice for urgent needs — "build your brand" doesn't pay rent this month