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在 OpenClaw 中安装
/install job-search
功能描述
Navigate job hunting with application tracking, company research, and interview preparation.
使用说明 (SKILL.md)
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
安全使用建议
This skill is internally coherent and doesn't request credentials or install code. Before using it, review the ~/job-search folder it creates (memory.md, applications.md, companies.md, materials/) and ensure you are comfortable storing CVs, cover letters, and interview notes in plain files. Do not provide external account credentials (LinkedIn/Glassdoor/Crunchbase logins) unless you explicitly trust the agent and platform; instead, paste non-sensitive excerpts or authorize through official integrations if available. Consider encrypting sensitive documents or keeping them in a secure vault and only pasting necessary excerpts.
功能分析
Type: OpenClaw Skill
Name: job-search
Version: 1.0.1
The skill bundle is designed to help an AI agent assist with job searching. The `SKILL.md` provides strategic guidance and defines the agent's operational scope within `~/job-search/`. The `memory-template.md` contains `bash` commands (`mkdir -p`, `touch`) to set up this dedicated workspace and create necessary files, which is a legitimate setup step for a skill managing local data. There is no evidence of prompt injection with malicious intent, data exfiltration, unauthorized execution, or any other harmful behaviors across any of the files.
能力评估
Purpose & Capability
Name/description (application tracking, company research, interview prep) match the provided files and templates. No unrelated dependencies, binaries, or credentials are requested.
Instruction Scope
Runtime instructions are limited to creating and managing files under ~/job-search and to researching public sources (LinkedIn, Glassdoor, Crunchbase). The skill asks the agent to request user writing samples to preserve voice. This is expected, but it does mean the agent will store potentially sensitive personal data in the specified local folder.
Install Mechanism
No install spec and no code files — instruction-only. Nothing will be downloaded or executed beyond the agent following the SKILL.md guidance, so install risk is minimal.
Credentials
The skill declares no environment variables, credentials, or config paths. It references public services for research but does not request API keys or logins, so requested access is proportionate to purpose.
Persistence & Privilege
The skill is not always-on and can be invoked by the user. It does instruct creating persistent files in the user's home directory (~/job-search). This persistent storage is reasonable for the use case but may hold sensitive materials (CVs, writing samples, interview notes).
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install job-search - 安装完成后，直接呼叫该 Skill 的名称或使用
/job-search触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
Minor refinements for consistency
v1.0.0
Initial release
元数据
常见问题
Job Search 是什么？
Navigate job hunting with application tracking, company research, and interview preparation. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1757 次。
如何安装 Job Search？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install job-search」即可一键安装，无需额外配置。
Job Search 是免费的吗？
是的，Job Search 完全免费（开源免费），可自由下载、安装和使用。
Job Search 支持哪些平台？
Job Search 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, darwin, win32）。
谁开发了 Job Search？
由 Iván（@ivangdavila）开发并维护，当前版本 v1.0.1。
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