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job-hunter求职者

Agent Skill

job-hunter 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

30,518

周安装

1,259

GitHub Stars

2

下载量

9,971
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:job-hunter(求职者)
来源仓库:https://github.com/sharbelayy/job-hunter
安装命令:
openclaw skills install job-hunter
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install job-hunter

简介

使用多源搜索、适合评分、申请支持、面试准备和状态跟踪,协助寻找、评估和申请工作。

SKILL.md

name
job-hunter
description
Comprehensive job search assistant for finding, evaluating, and applying to job opportunities. Use when a user needs help with job hunting, job searching, finding openings, evaluating job fit, preparing applications, writing cover letters, interview preparation, salary research, or tracking applications. Supports multi-source job search across LinkedIn, Indeed, Glassdoor, and more with automated fit scoring against a candidate profile.

Job Hunter

End-to-end job search assistant — from finding opportunities to landing interviews.

Quick Start

1. Set up candidate profile

Create a profile JSON for the user. Use the template at {baseDir}/references/profile-template.json as a starting point. Ask the user about:

  • Target roles and seniority level
  • Key skills and tools
  • Location preferences (cities + remote)
  • Salary expectations
  • Dealbreakers and excluded companies
  • Preferred industries/domains

Save as profile.json in the workspace.

2. Search for jobs

Use the web_search tool with multiple queries to cast a wide net:

site:linkedin.com/jobs "[role]" "[city]"
site:indeed.com "[role]" "[city]"  
site:glassdoor.com/job "[role]" "[city]"
"[role]" "[city]" hiring 2025 2026

Expand keywords — don't just search one title. See {baseDir}/references/search-strategies.md for keyword expansion patterns.

Alternative: run the search script if Brave API is available:

{baseDir}/scripts/search_jobs.sh "CX Manager" --location "Amsterdam" --days 7

3. Evaluate fit

For each job found, run fit analysis:

python3 {baseDir}/scripts/analyze_fit.py --profile profile.json --jobs jobs.json --threshold 50

Or evaluate manually using this framework:

  • Skill match (40%): Does user have 60%+ of required skills?
  • Seniority match (25%): Right level — not over/under qualified?
  • Location match (15%): Compatible location or remote?
  • Domain match (10%): Preferred industry/domain?
  • Red flags (10%): Excluded companies? Dealbreakers?

Score: 🟢 75+ great | 🟡 55-74 good | 🟠 40-54 stretch | 🔴 <40 skip

4. Present results

For each job, present:

  • Role & Company with direct link
  • Fit score with color indicator
  • Why it's a match (top 3 skill matches)
  • Gaps to address (missing skills to highlight as "eager to learn")
  • Salary estimate if available
  • Recommendation: Apply / Maybe / Skip

Application Support

Cover letters

Read {baseDir}/references/cover-letter-guide.md for structure and tone guidelines. Generate tailored cover letters that:

  • Reference specific company details (not generic)
  • Map user's experience to top 2-3 job requirements
  • Include quantified achievements
  • Stay under 350 words

Interview prep

Read {baseDir}/references/interview-prep.md for complete preparation framework. Help with:

  • Company research summaries
  • STAR stories for key requirements
  • Tailored "tell me about yourself" script
  • Salary negotiation talking points
  • Questions to ask the interviewer

Salary research

bash {baseDir}/scripts/salary_research.sh "Job Title" "Location"

Cross-reference 3+ sources. In the Netherlands: factor in 8% holiday allowance, possible 13th month, pension.

Daily Brief Format

When running as a scheduled job search brief:

  1. New opportunities — jobs found in last 24h with fit scores and direct links
  2. Application status — updates on pending applications
  3. Action items — what to apply to today, follow-ups due
  4. Market intel — industry trends, salary movements, hiring patterns

Tracking

Maintain a job tracker with:

  • Company, role, date found, source URL
  • Fit score and recommendation
  • Status: newappliedscreeninginterviewoffer/rejected/ghosted
  • Applied/skipped with reason
  • Contact info and follow-up dates

Tips for Agents

  • Never apply on behalf of the user — present opportunities, let them decide
  • Don't overwhelm — 3-5 quality matches beat 20 mediocre ones
  • Track excluded companies — never suggest the same company twice after rejection
  • Be honest about fit — stretches are okay to flag, but don't oversell poor matches
  • Respect dealbreakers — if user said no customer service, don't suggest it even if "it's a great company"
  • Update the profile — as you learn user preferences, refine the profile
  • Celebrate wins — applied to a job? Got an interview? Acknowledge it

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.22%
按下载量换算8,597

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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