Applicant Screening by claude-office-skills/skills
npx skills add https://github.com/claude-office-skills/skills --skill 'Applicant Screening'根据职位要求筛选求职申请,高效识别顶尖候选人。
此技能可帮助您:
"根据我们的[职位名称]要求筛选这份简历"
"评估这份针对[职位]的申请"
"为高级开发人员职位筛选这10份申请"
"根据我们的要求对这些候选人进行排序"
"筛选条件:5年以上Python经验,必须具备AWS经验,具备机器学习经验者优先"
## 职位要求:[职位]
### 必备条件(必需)
| 要求 | 权重 | 标准 |
|-------------|--------|----------|
| [技能 1] | 20% | [X] 年经验 |
| [技能 2] | 15% | [认证/级别] |
| [教育背景] | 10% | [学位类型] |
| [经验] | 25% | [行业/职位类型] |
### 优先条件(优选)
| 要求 | 加分 | 标准 |
|-------------|-------|----------|
| [技能 3] | +5分 | [描述] |
| [技能 4] | +5分 | [描述] |
| [特质] | +3分 | [指标] |
### 淘汰项
- [ ] 无工作许可
- [ ] 低于最低经验要求
- [ ] 缺少必需认证
- [ ] 薪资期望不匹配
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# 候选人筛选:[姓名]
## 快速摘要
| 属性 | 值 |
|-----------|-------|
| **职位** | [职位名称] |
| **得分** | [X]/100 |
| **推荐** | 🟢 面试 / 🟡 待定 / 🔴 淘汰 |
## 候选人概况
- **姓名**:[全名]
- **地点**:[城市,州]
- **当前职位**:[公司]的[职位]
- **总经验**:[X] 年
- **教育背景**:[学位,学校]
## 要求匹配度
### 必备条件
| 要求 | 符合? | 证据 | 得分 |
|-------------|------|----------|-------|
| [5年以上Python] | ✅ | 在2家公司有7年经验 | 20/20 |
| [AWS经验] | ✅ | AWS认证,3年经验 | 15/15 |
| [计算机科学学士] | ✅ | 麻省理工学院计算机科学学士 | 10/10 |
| [团队领导经验] | ⚠️ | 领导过2人团队 | 5/10 |
**必备条件得分**:[X]/[总分]
### 优先条件
| 要求 | 符合? | 证据 | 加分 |
|-------------|------|----------|-------|
| [机器学习经验] | ✅ | 构建过推荐系统 | +5 |
| [初创公司经验] | ✅ | 2家早期初创公司 | +5 |
| [开源贡献] | ❌ | 未提及 | 0 |
**优先条件加分**:+[X] 分
## 优势 💪
1. [优势 1 及证据]
2. [优势 2 及证据]
3. [优势 3 及证据]
## 关注点 ⚠️
1. [关注点 1 - 面试中可提问]
2. [关注点 2 - 需要核实的内容]
## 危险信号 🚩
- [如有 - 工作经历空白期、不一致之处等]
## 面试问题
根据此候选人的概况,可考虑提问:
1. [关于特定经验的问题]
2. [关于关注领域的问题]
3. [关于成长潜力的问题]
## 总体评估
[2-3句关于匹配度的总结]
**最终得分**:[X]/100
**推荐**:[面试 / 电话筛选 / 淘汰]
**优先级**:[高 / 中 / 低]
# 申请人排序:[职位]
**日期**:[日期]
**总申请数**:[X]
**已审核**:[X]
## 摘要
| 类别 | 数量 | 百分比 |
|----------|-------|---|
| 🟢 强烈建议面试 | [X] | [%] |
| 🟡 电话筛选 | [X] | [%] |
| 🔵 待定/保留 | [X] | [%] |
| 🔴 不合适 | [X] | [%] |
## 顶尖候选人
### 🥇 第一梯队:强烈建议面试(得分 80+)
| 排名 | 姓名 | 得分 | 关键优势 | 关注点 |
|------|------|-------|---------------|----------|
| 1 | [姓名] | 92 | [优势] | [关注点] |
| 2 | [姓名] | 88 | [优势] | [关注点] |
| 3 | [姓名] | 85 | [优势] | [关注点] |
### 🥈 第二梯队:电话筛选(得分 65-79)
| 排名 | 姓名 | 得分 | 关键优势 | 需弥补的差距 |
|------|------|-------|---------------|----------------|
| 4 | [姓名] | 75 | [优势] | [差距] |
| 5 | [姓名] | 72 | [优势] | [差距] |
### 🥉 第三梯队:待定/保留(得分 50-64)
| 姓名 | 得分 | 保留原因 |
|------|-------|-----------------|
| [姓名] | 58 | [原因] |
### ❌ 不继续推进(得分 <50)
| 姓名 | 得分 | 主要原因 |
|------|-------|----------------|
| [姓名] | 45 | 缺少必需的 [X] |
| [姓名] | 38 | 低于最低经验要求 |
## 洞察
### 申请人池质量
[对整体申请人池质量的评估]
### 常见优势
- [频繁出现的优势]
- [频繁出现的优势]
### 常见差距
- [大多数候选人缺乏的方面]
- [申请人池中的技能短缺]
### 建议
1. [针对顶尖候选人的行动]
2. [如果申请人池质量弱,关于招聘渠道的建议]
| 年限 | 初级 | 中级 | 高级 | 主管 |
|---|---|---|---|---|
| 0-1 | 10/10 | 3/10 | 0/10 | 0/10 |
| 2-3 | 8/10 | 7/10 | 3/10 | 0/10 |
| 4-5 | 5/10 | 10/10 | 7/10 | 3/10 |
| 6-8 | 3/10 | 8/10 | 10/10 | 7/10 |
| 9+ | 0/10 | 5/10 | 10/10 | 10/10 |
| 级别 | 技术职位 | 非技术职位 |
|---|---|---|
| 博士 | 10/10 | 8/10 |
| 硕士 | 9/10 | 9/10 |
| 学士 | 8/10 | 10/10 |
| 副学士 | 5/10 | 7/10 |
| 训练营 | 6/10 | 不适用 |
| 自学 | 4/10 | 不适用 |
每周安装量
0
代码仓库
GitHub 星标数
5
首次出现
1970年1月1日
安全审计
Screen job applications against role requirements to identify top candidates efficiently.
This skill helps you:
"Screen this resume against our [Job Title] requirements"
"Evaluate this application for the [Position] role"
"Screen these 10 applications for the Senior Developer position"
"Rank these candidates based on our requirements"
"Screen for: 5+ years Python, AWS experience required, ML nice-to-have"
## Job Requirements: [Position]
### Must-Have (Required)
| Requirement | Weight | Criteria |
|-------------|--------|----------|
| [Skill 1] | 20% | [X] years experience |
| [Skill 2] | 15% | [Certification/level] |
| [Education] | 10% | [Degree type] |
| [Experience] | 25% | [Industry/role type] |
### Nice-to-Have (Preferred)
| Requirement | Bonus | Criteria |
|-------------|-------|----------|
| [Skill 3] | +5pts | [Description] |
| [Skill 4] | +5pts | [Description] |
| [Trait] | +3pts | [Indicator] |
### Disqualifiers
- [ ] No work authorization
- [ ] Below minimum experience
- [ ] Missing required certification
- [ ] Salary expectation mismatch
# Candidate Screening: [Name]
## Quick Summary
| Attribute | Value |
|-----------|-------|
| **Position** | [Job Title] |
| **Score** | [X]/100 |
| **Recommendation** | 🟢 Interview / 🟡 Maybe / 🔴 Pass |
## Candidate Profile
- **Name**: [Full Name]
- **Location**: [City, State]
- **Current Role**: [Title] at [Company]
- **Total Experience**: [X] years
- **Education**: [Degree, School]
## Requirements Match
### Must-Have Requirements
| Requirement | Met? | Evidence | Score |
|-------------|------|----------|-------|
| [5+ years Python] | ✅ | 7 years at 2 companies | 20/20 |
| [AWS experience] | ✅ | AWS Certified, 3 years | 15/15 |
| [Bachelor's CS] | ✅ | BS Computer Science, MIT | 10/10 |
| [Team lead exp] | ⚠️ | Led 2-person team | 5/10 |
**Must-Have Score**: [X]/[Total]
### Nice-to-Have
| Requirement | Met? | Evidence | Bonus |
|-------------|------|----------|-------|
| [ML experience] | ✅ | Built recommendation system | +5 |
| [Startup exp] | ✅ | 2 early-stage startups | +5 |
| [Open source] | ❌ | Not mentioned | 0 |
**Nice-to-Have Bonus**: +[X] points
## Strengths 💪
1. [Strength 1 with evidence]
2. [Strength 2 with evidence]
3. [Strength 3 with evidence]
## Concerns ⚠️
1. [Concern 1 - question to ask in interview]
2. [Concern 2 - what to verify]
## Red Flags 🚩
- [If any - employment gaps, inconsistencies, etc.]
## Interview Questions
Based on this candidate's profile, consider asking:
1. [Question about specific experience]
2. [Question about concern area]
3. [Question about growth potential]
## Overall Assessment
[2-3 sentence summary of fit]
**Final Score**: [X]/100
**Recommendation**: [Interview / Phone Screen / Pass]
**Priority**: [High / Medium / Low]
# Applicant Ranking: [Position]
**Date**: [Date]
**Total Applications**: [X]
**Reviewed**: [X]
## Summary
| Category | Count | % |
|----------|-------|---|
| 🟢 Strong Interview | [X] | [%] |
| 🟡 Phone Screen | [X] | [%] |
| 🔵 Maybe/Hold | [X] | [%] |
| 🔴 Not a Fit | [X] | [%] |
## Top Candidates
### 🥇 Tier 1: Strong Interview (Score 80+)
| Rank | Name | Score | Key Strengths | Concerns |
|------|------|-------|---------------|----------|
| 1 | [Name] | 92 | [Strengths] | [Concerns] |
| 2 | [Name] | 88 | [Strengths] | [Concerns] |
| 3 | [Name] | 85 | [Strengths] | [Concerns] |
### 🥈 Tier 2: Phone Screen (Score 65-79)
| Rank | Name | Score | Key Strengths | Gap to Address |
|------|------|-------|---------------|----------------|
| 4 | [Name] | 75 | [Strengths] | [Gap] |
| 5 | [Name] | 72 | [Strengths] | [Gap] |
### 🥉 Tier 3: Maybe/Hold (Score 50-64)
| Name | Score | Reason for Hold |
|------|-------|-----------------|
| [Name] | 58 | [Reason] |
### ❌ Not Proceeding (Score <50)
| Name | Score | Primary Reason |
|------|-------|----------------|
| [Name] | 45 | Missing required [X] |
| [Name] | 38 | Below minimum experience |
## Insights
### Applicant Pool Quality
[Assessment of overall pool quality]
### Common Strengths
- [Frequently seen strength]
- [Frequently seen strength]
### Common Gaps
- [What most candidates lack]
- [Skill shortage in pool]
### Recommendations
1. [Action for top candidates]
2. [Suggestion for sourcing if pool weak]
| Years | Entry | Mid | Senior | Lead |
|---|---|---|---|---|
| 0-1 | 10/10 | 3/10 | 0/10 | 0/10 |
| 2-3 | 8/10 | 7/10 | 3/10 | 0/10 |
| 4-5 | 5/10 | 10/10 | 7/10 | 3/10 |
| 6-8 | 3/10 | 8/10 | 10/10 | 7/10 |
| 9+ | 0/10 | 5/10 | 10/10 | 10/10 |
| Level | Technical Role | Non-Technical |
|---|---|---|
| PhD | 10/10 | 8/10 |
| Master's | 9/10 | 9/10 |
| Bachelor's | 8/10 | 10/10 |
| Associate's | 5/10 | 7/10 |
| Bootcamp | 6/10 | N/A |
| Self-taught | 4/10 | N/A |
Weekly Installs
0
Repository
GitHub Stars
5
First Seen
Jan 1, 1970
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