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Agent Skill · AI 工具

hiring-recruitment(招聘 招聘)

hiring-recruitment 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

hiring-recruitment 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 668。

总安装 2,521周安装 104GitHub Stars 3下载 824核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:hiring-recruitment(招聘 招聘)
来源仓库:https://github.com/pluginagentmarketplace/custom-plugin-engineering-manager
仓库路径:skills/hiring-recruitment
安装命令:
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-engineering-manager --skill hiring-recruitment
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-engineering-manager --skill hiring-recruitment

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

hiring-recruitment 用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息,适合代码变更跟踪与项目状态管理。适用于需要围绕仓库状态或协作事项进行整理的场景,如招聘流程管理。支持从代码提交中提取关键变更点并关联 Issue,便于生成协作报告。

安装前建议确认权限范围和是否会触发命令执行,避免误操作影响生产环境。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/hiring-recruitment

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pluginagentmarketplace/custom-plugin-engineeri…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

hiring-recruitment 怎么安装?

在终端执行 npx skills add https://github.com/pluginagentmarketplace/custom-plugin-engineering-manager…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

hiring-recruitment 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

hiring-recruitment 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

hiring-recruitment 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

hiring-recruitment 用的人多吗?

公开数据是累计安装 2,521 次,近一周安装 104 次,下载 824 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

hiring-recruitment 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
hiring-recruitment

招聘 招聘 · 本页

2,5213只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Hiring & Recruitment Skill

Purpose

Provide engineering managers with comprehensive hiring frameworks, interview templates, and assessment tools for building strong engineering teams.

Primary Bond

Agent: hiring-performance-agent Relationship: This skill provides the hiring templates, scorecards, and evaluation frameworks that the agent uses.


Templates

Job Description Template

# {Role Title} - {Team}

## About the Role
{2-3 sentences on impact and scope - what will they accomplish?}

## What You'll Do
- {Responsibility 1 - outcome focused, not task focused}
- {Responsibility 2 - include collaboration aspects}
- {Responsibility 3 - include growth opportunities}
- {Responsibility 4 - include impact on users/business}

## What We're Looking For

### Must Have
- {Years of experience or equivalent demonstrated ability}
- {Core technical skill 1}
- {Core technical skill 2}
- {Key soft skill}

### Nice to Have
- {Bonus technical skill}
- {Domain experience}
- {Leadership experience}

## Our Interview Process
1. **Recruiter Screen** (30 min) - Background and mutual fit
2. **Technical Screen** (60 min) - Coding and problem-solving
3. **System Design** (60 min) - Architecture thinking
4. **Team Fit** (45 min) - Collaboration and values
5. **Hiring Manager** (45 min) - Final discussion

Expected timeline: 2-3 weeks

## What We Offer
- {Compensation range if public}
- {Key benefits}
- {Growth opportunities}
- {Culture highlights}

Interview Scorecard

interview_scorecard:
  candidate: "{Name}"
  role: "{Role}"
  interviewer: "{Name}"
  date: "{Date}"
  interview_type: "{Technical | Design | Behavioral | Final}"

  competencies:
    technical_skills:
      weight: 30%
      score: null  # 1-5
      evidence: ""
      strong_signals: []
      concerns: []

    problem_solving:
      weight: 25%
      score: null
      evidence: ""
      strong_signals: []
      concerns: []

    communication:
      weight: 15%
      score: null
      evidence: ""
      strong_signals: []
      concerns: []

    collaboration:
      weight: 15%
      score: null
      evidence: ""
      strong_signals: []
      concerns: []

    growth_mindset:
      weight: 15%
      score: null
      evidence: ""
      strong_signals: []
      concerns: []

  overall:
    weighted_score: null
    recommendation: null  # Strong Hire | Hire | No Hire | Strong No Hire
    summary: ""
    next_steps: ""

  scoring_guide:
    5: "Exceptional - top 5% of candidates seen"
    4: "Strong - clearly above bar"
    3: "Meets bar - solid hire"
    2: "Below bar - significant concerns"
    1: "Far below bar - clear no hire"

Behavioral Interview Guide (STAR)

star_framework:
  situation:
    prompt: "Tell me about a time when..."
    look_for:
      - "Specific, real example"
      - "Clear context setting"
      - "Relevant to competency"

  task:
    prompt: "What was your specific responsibility?"
    look_for:
      - "Personal ownership"
      - "Clear scope understanding"
      - "Appropriate level of challenge"

  action:
    prompt: "What steps did you take?"
    look_for:
      - "Specific actions (not 'we' but 'I')"
      - "Logical approach"
      - "Problem-solving demonstrated"

  result:
    prompt: "What was the outcome? What did you learn?"
    look_for:
      - "Measurable impact"
      - "Self-reflection"
      - "Learning demonstrated"

sample_questions:
  problem_solving:
    - "Tell me about a time you solved a problem with incomplete information"
    - "Describe a situation where you had to make a difficult trade-off"
    - "Tell me about a technical decision you later regretted"

  collaboration:
    - "Tell me about a time you had a conflict with a teammate"
    - "Describe a situation where you had to influence without authority"
    - "Tell me about receiving critical feedback"

  leadership:
    - "Tell me about a time you mentored someone"
    - "Describe a situation where you drove a significant change"
    - "Tell me about a time you had to make an unpopular decision"

Hiring Pipeline Metrics

hiring_metrics:
  funnel_metrics:
    applications_to_screen: "{X}%"
    screen_to_interview: "{X}%"
    interview_to_offer: "{X}%"
    offer_to_accept: "{X}%"

  time_metrics:
    time_to_first_response: "{X} days"
    time_to_offer: "{X} days"
    time_to_hire: "{X} days"

  quality_metrics:
    new_hire_90_day_retention: "{X}%"
    new_hire_performance_rating: "{X}/5"
    hiring_manager_satisfaction: "{X}/5"

  targets:
    time_to_hire: "<45 days"
    offer_acceptance: ">80%"
    90_day_retention: ">95%"
    diversity_pipeline: ">40%"

  red_flags:
    time_to_hire: ">60 days"
    offer_acceptance: "<60%"
    90_day_retention: "<85%"

Decision Trees

Hire / No-Hire Decision

Scorecard Complete
|
+-- Any Strong No Hire?
|   +-- Yes -> No Hire (single strong no is veto)
|   +-- No -> Continue
|
+-- Weighted score >= 3.0?
|   +-- No -> No Hire
|   +-- Yes -> Continue
|
+-- Any critical competency < 3?
|   +-- Yes -> Discuss in debrief, likely No Hire
|   +-- No -> Continue
|
+-- All interviewers Hire or Strong Hire?
|   +-- Yes -> Make offer
|   +-- No -> Debrief discussion, address concerns

Offer Negotiation

Candidate requests higher comp
|
+-- Within approved range?
|   +-- Yes -> Can approve, consider value
|   +-- No -> Continue
|
+-- Top candidate for role?
|   +-- Yes -> Escalate for exception
|   +-- No -> Continue
|
+-- Can we offer other value?
|   +-- Yes -> Negotiate (signing bonus, equity, title, start date)
|   +-- No -> Explain our position, give time to decide

Anti-Patterns

anti_patterns:
  culture_fit_trap:
    symptom: "Hiring people just like us"
    remedy:
      - "Define 'culture add' not 'culture fit'"
      - "Diverse interview panels"
      - "Structured evaluation criteria"

  halo_effect:
    symptom: "One great answer overshadows all else"
    remedy:
      - "Structured scorecards for each competency"
      - "Multiple interviewers for same competency"
      - "Calibration before debrief"

  urgency_hire:
    symptom: "We need someone NOW"
    remedy:
      - "Bad hire costs more than waiting"
      - "Consider contractors for immediate needs"
      - "Never lower the bar"

  confirmation_bias:
    symptom: "Looking for evidence to confirm first impression"
    remedy:
      - "Document evidence before scoring"
      - "Score independently before debrief"
      - "Assign devil's advocate in debrief"

Quick Reference Cards

Interview Debrief Structure

1. Scores submitted independently (before meeting)
2. Go around - each interviewer shares (2 min each)
   - Overall recommendation
   - Key evidence (specific examples)
   - Top concern
3. Discussion of disagreements
4. Hiring manager makes final call
5. Document decision and reasoning

Red Flags to Watch

red_flags:
  technical:
    - "Cannot explain their own code"
    - "No questions about the codebase"
    - "Blames others for past failures"

  behavioral:
    - "Uses 'we' exclusively (no personal ownership)"
    - "No examples of learning from mistakes"
    - "Dismissive of questions"

  cultural:
    - "Badmouths previous employers"
    - "No interest in team dynamics"
    - "Unwilling to receive feedback"

Candidate Experience Checklist

candidate_experience:
  before:
    - "Clear job description"
    - "Fast initial response (<48h)"
    - "Interview prep materials sent"

  during:
    - "Interviewers prepared and on time"
    - "Candidate can ask questions"
    - "Respectful, welcoming atmosphere"

  after:
    - "Timeline communicated"
    - "Feedback provided (if rejected)"
    - "Offer delivered promptly"

Troubleshooting

ProblemRoot CauseSolution
Not enough candidatesPoor JD, wrong channelsRevise JD, expand sourcing
High drop-off after screenProcess too slow, poor experienceSpeed up, improve communication
Offers declinedComp, culture, opportunityExit survey, adjust offer
Bad hiresWeak interview processStructured interviews, calibration

Validation Rules

input_validation:
  role_level:
    type: enum
    values: [junior, mid, senior, staff, principal, manager, director]
    required: true

  urgency:
    type: enum
    values: [low, medium, high, critical]
    default: medium

  team_context:
    type: object
    properties:
      size: { type: integer }
      current_gaps: { type: array }
    required: false

Resources

Books:

  • Who: The A Method for Hiring - Geoff Smart
  • The Effective Hiring Manager - Mark Horstman
  • Work Rules! - Laszlo Bock

Tools:

  • Structured interview training
  • Unconscious bias training
  • Calibration session templates

平台分布

Claude Code

25.97%
按下载量换算214

windsurf

23.23%
按下载量换算191

OpenCode

18.91%
按下载量换算156

Codex

10.71%
按下载量换算88

Cursor

8.36%
按下载量换算69

Antigravity

2.92%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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