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Find Job

作者 haidong · GitHub ↗ · v0.1.0 · MIT-0
linuxdarwinwin32 ✓ 安全检测通过
44
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当前安装
1
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在 OpenClaw 中安装
/install find-job
功能描述
Help job seekers find suitable work through self-assessment, labor-market research, role matching, channel strategy, resume/application improvement, intervie...
使用说明 (SKILL.md)

Find Job

Help the user find a realistic, suitable job. Optimize for practical fit: income, commute, schedule, skills, dignity, safety, probability of getting hired, and next-step clarity.

Use Chinese by default unless the user asks otherwise.

Compatibility

This skill is an instruction-only AgentSkills-style folder. It is intended to work in OpenClaw and Hermes through skills/find-job/SKILL.md.

Keep metadata as a single-line JSON object for OpenClaw parser compatibility. Hermes can also read the standard name, description, and metadata.hermes fields.

Read {baseDir}/references/methodology.md before producing a full job-search strategy, role shortlist, or channel plan.

Operating Principles

  • Treat the user as a worker making a real-life tradeoff, not as a resume optimization puzzle.
  • Prefer stable cash flow and safe working conditions when the user is urgent, financially constrained, or vulnerable.
  • Do not guarantee employment, fabricate qualifications, submit applications, contact employers, or share personal information without explicit user approval.
  • Use live search or browser tools whenever the user asks for current openings, salaries, hiring platforms, company status, policy, visa/work authorization, labor-law, or scam verification.
  • If browsing is unavailable, say the current-market parts are provisional and ask the user to provide listings, screenshots, or target companies.

Intake

Collect only the missing details that materially change the recommendation. If the user gives enough to proceed, start with assumptions and mark them clearly.

Required details for a strong plan:

  • location, target cities, remote/on-site preference, commute limit, and work authorization
  • urgency: employed, laid off, student, returning to work, debt pressure, relocation deadline
  • income floor, benefits needs, shift constraints, family/care responsibilities, physical limits, and risk tolerance
  • education, certifications, languages, tools, licenses, work history, achievements, and transferable skills
  • target industries or roles, disliked tasks, preferred work environment, values, and dealbreakers
  • existing resume, portfolio, LinkedIn/profile, job links, interview history, and application results if available

Workflow

  1. Build the worker profile.

    • Summarize skills, evidence, constraints, preferences, and dealbreakers.
    • Separate must-have, nice-to-have, and can compromise for now.
  2. Generate target roles.

    • Create three lanes: can get now, adjacent with resume repositioning, and requires training or portfolio.
    • Include alternative job titles and search keywords for each lane.
  3. Research the market.

    • For current listings or salary claims, use live search and cite sources.
    • Prefer official/public labor-market resources for occupation facts and safe job-search help.
    • Use commercial job boards, employer career pages, recruiters, communities, and offline channels as complementary lead sources.
  4. Score fit.

    • Score roles and opportunities using: capability fit, survival fit, hiring probability, growth, employer trust/safety, and user preference.
    • Penalize listings with upfront fees, vague companies, unrealistic pay, private-message-only hiring, fake-check patterns, or pressure tactics.
  5. Build the search system.

    • Produce a weekly funnel: target leads, qualified leads, tailored applications, referrals/outreach, interviews, follow-ups, and learning loops.
    • Draft resume positioning, profile headline, cover note, recruiter message, and referral ask when useful.
  6. Prepare for conversion.

    • Create interview story bullets, likely questions, evidence snippets, and questions for the employer.
    • Help compare offers across pay, schedule, commute, contract, benefits, growth, manager quality, and safety.

Output Contract

For a full plan, return:

一句话路径:
\x3Cmost practical job-search direction>

你的求职画像:
- 优势:
- 约束:
- 底线:
- 可让步项:

目标岗位地图:
1. 现在就能冲:
2. 邻近转向:
3. 需要补课/作品集:

渠道组合:
- 官方/公共就业:
- 招聘平台:
- 公司官网/内推:
- 社群/熟人/线下:
- 机构/中介/灵活就业:

搜索关键词:
- \x3Crole + city + seniority + industry>

本周行动清单:
1. \x3Cspecific action>
2. \x3Cspecific action>
3. \x3Cspecific action>

简历和沟通调整:
- \x3Cresume positioning>
- \x3Coutreach/interview point>

风险提示:
- \x3Cscam, contract, personal data, or labor-risk warnings>

还需要补充:
- \x3Conly the details that would change the recommendation>

For a quick answer, give the top 2-3 target roles, the first three channels to try, and the next action for today.

Boundaries

  • Do not advise the user to lie about education, employment dates, salary history, credentials, work authorization, or identity.
  • Do not encourage illegal labor practices, unpaid trial work that violates local rules, discrimination, harassment, or unsafe work.
  • Do not provide legal, immigration, tax, or financial advice as definitive. For high-stakes disputes, contracts, visa status, non-compete clauses, wage theft, or workplace injury, recommend local official resources or a qualified professional.
  • Ask users to redact ID numbers, phone numbers, exact addresses, bank details, and employer-sensitive data from resumes, offer letters, and screenshots.
安全使用建议
This skill appears safe to install as a guidance-only job-search assistant. You should still avoid sharing ID numbers, bank details, exact address, or other sensitive personal data, and personally review any resume, application, outreach message, or employer contact before it is sent.
功能分析
Type: OpenClaw Skill Name: find-job Version: 0.1.0 The 'find-job' skill is a comprehensive instruction-based bundle designed to assist job seekers with career planning and application strategies. It includes detailed safety guidelines in SKILL.md and methodology.md that specifically warn users against job scams, upfront fees, and sharing sensitive personal data (like ID or bank details) prematurely. The skill promotes the use of official government resources (e.g., O*NET, CareerOneStop, and official Chinese employment platforms) and contains no executable code, data exfiltration logic, or suspicious prompt-injection attempts.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
The stated purpose—job-search planning, role matching, resume/interview help, offer comparison, and scam avoidance—is consistent across SKILL.md, methodology, and metadata.
Instruction Scope
The skill may ask for job-search-relevant personal details and use live search for current information, but it also instructs minimizing collection, avoiding unauthorized applications/contact, and redacting highly sensitive data.
Install Mechanism
No install spec, binaries, environment variables, credentials, or code files are present; this is an instruction-only skill.
Credentials
Browser/live search use is disclosed and proportionate for finding current openings, salaries, company status, and scam checks.
Persistence & Privilege
No persistence, background workers, account credentials, local profile access, or privileged system changes are requested.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install find-job
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /find-job 触发
  4. 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
v0.1.0
Initial release: job-search methodology skill for OpenClaw and Hermes.
元数据
Slug find-job
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Find Job 是什么?

Help job seekers find suitable work through self-assessment, labor-market research, role matching, channel strategy, resume/application improvement, intervie... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 44 次。

如何安装 Find Job?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install find-job」即可一键安装,无需额外配置。

Find Job 是免费的吗?

是的,Find Job 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Find Job 支持哪些平台?

Find Job 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 Find Job?

由 haidong(@harrylabsj)开发并维护,当前版本 v0.1.0。

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