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resume-screener

guia-matthieu
Aktualisiert 2 days ago
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Designaidesign

Über

Die Resume-Screener-Fähigkeit unterstützt Entwickler dabei, Lebensläufe anhand von Stellenanforderungen zu prüfen, indem sie strukturierte Bewertungen, die Identifizierung von Warnsignalen und Interviewempfehlungen bietet. Sie ist ideal für die Prüfung einer hohen Anzahl von Bewerbungen und die Erstellung einheitlicher Bewertungsraster. Die Fähigkeit basiert auf Forschung zu strukturierten Interviews und EEOC-Richtlinien für objektive, vorurteilsbewusste Bewertungen.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add guia-matthieu/clawfu-skills -a claude-code
Plugin-BefehlAlternativ
/plugin add https://github.com/guia-matthieu/clawfu-skills
Git CloneAlternativ
git clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/resume-screener

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

Resume Screener

Systematically evaluate resumes against job requirements to identify qualified candidates, flag concerns, and prioritize for interviews.

When to Use This Skill

  • High-volume application screening
  • Creating screening criteria
  • Building evaluation rubrics
  • Training hiring managers
  • Audit of screening consistency

Methodology Foundation

Based on structured interviewing research and EEOC guidelines, combining:

  • Job-related criteria only
  • Objective scoring rubrics
  • Bias-aware evaluation
  • Documentation requirements

What Claude Does vs What You Decide

Claude DoesYou Decide
Creates screening rubricsHiring decisions
Scores against criteriaCulture fit assessment
Identifies red/green flagsInterview invitation
Summarizes qualificationsFinal selection
Flags potential concernsException handling

Instructions

Step 1: Define Job Criteria

Required vs. Preferred:

CategoryMust HaveNice to Have
EducationMinimum degreeAdvanced degree
ExperienceX years in YSpecific industry
SkillsCore technicalAdjacent skills
CertificationsRequired licensesPreferred certs

Scoring Weight:

CriterionWeightRationale
Required experience40%Core capability
Required skills30%Day-one impact
Education15%Foundation
Preferred qualifications15%Growth potential

Step 2: Create Screening Rubric

Scoring Scale:

ScoreDefinition
4Exceeds requirement significantly
3Meets requirement fully
2Partially meets requirement
1Does not meet requirement
0Cannot assess from resume

Step 3: Evaluate Resume

Assessment Framework:

  1. Check must-have requirements (binary pass/fail)
  2. Score each criterion (1-4 scale)
  3. Calculate weighted total
  4. Identify flags (red and green)
  5. Make recommendation

Step 4: Document Findings

For Each Resume:

  • Overall score
  • Must-have checklist
  • Criterion-by-criterion scores
  • Flags and concerns
  • Recommendation with rationale

Step 5: Prioritize Candidates

Priority Matrix:

Score RangeAction
80-100%Priority interview
60-79%Standard review
40-59%Conditional hold
<40%Not qualified

Examples

Example 1: Full Resume Screening

Input:

Job: Senior Product Manager

Requirements:
- 5+ years product management experience
- B2B SaaS background required
- Technical degree or equivalent experience
- Experience with Agile methodologies
- Preferred: MBA or similar

Resume:
Jane Smith
Product Manager at TechCorp (3 years)
- Led product roadmap for B2B analytics platform
- Managed team of 4 designers and engineers
- Increased user retention by 35%

Associate PM at StartupXYZ (2 years)
- B2C mobile app
- Launched 3 major features

Education: BS Computer Science, Stanford
Certifications: CSPO, SAFe Agilist

Output:

## Resume Screening: Jane Smith

### Quick Summary
**Position:** Senior Product Manager
**Candidate:** Jane Smith
**Score:** 78/100 - STANDARD REVIEW

---

### Must-Have Requirements

| Requirement | Status | Evidence |
|-------------|--------|----------|
| 5+ years PM experience | ✅ PASS | 3 + 2 = 5 years total |
| B2B SaaS background | ✅ PASS | TechCorp B2B analytics |
| Technical degree/equivalent | ✅ PASS | BS CS Stanford |
| Agile experience | ✅ PASS | CSPO, SAFe certifications |

**Must-Have Result:** PASS (4/4)

---

### Detailed Scoring

| Criterion | Weight | Score | Weighted | Notes |
|-----------|--------|-------|----------|-------|
| Years of Experience | 40% | 3/4 | 30/40 | Meets minimum exactly |
| B2B SaaS | 30% | 3/4 | 22.5/30 | 3 years, not full tenure |
| Technical Background | 15% | 4/4 | 15/15 | Stanford CS |
| Preferred (MBA) | 15% | 2/4 | 7.5/15 | Has certs, no MBA |

**Total Score: 75/100**

---

### Green Flags

| Flag | Evidence | Significance |
|------|----------|--------------|
| Quantified impact | "35% retention increase" | Results-oriented |
| Management experience | "Team of 4" | Leadership ready |
| Relevant certifications | CSPO, SAFe | Agile commitment |
| Top-tier education | Stanford CS | Technical foundation |

---

### Yellow Flags

| Flag | Concern | Mitigation |
|------|---------|------------|
| Experience exactly at minimum | Just hits 5 years | Probe depth in interview |
| Mixed B2B/B2C | 2 years in B2C | Understand B2B transition |
| No MBA | Preferred qualification | Certs may compensate |

---

### Red Flags

None identified.

---

### Interview Recommendation

**Decision:** RECOMMEND FOR INTERVIEW

**Rationale:**
- Meets all must-have requirements
- Strong B2B SaaS experience at TechCorp
- Technical background exceeds expectations
- Quantified achievements show impact

**Interview Focus Areas:**
1. Depth of B2B product strategy experience
2. Transition from B2C to B2B context
3. Scale of products managed (ARR, users)
4. Examples of cross-functional leadership

---

### Comparison Notes

Candidate is solid but not exceptional. Meets requirements without
significantly exceeding them. Consider alongside stronger candidates
if available.

Example 2: Batch Screening Summary

Input:

Screen these 5 candidates for Marketing Manager:
Requirements: 3+ years marketing, B2B experience, analytics skills

1. Alice: 5 years B2B marketing, Google Analytics certified
2. Bob: 2 years marketing, B2C only, strong analytics
3. Carol: 4 years, mixed B2B/B2C, basic Excel
4. David: 6 years B2B, owns marketing analytics tool
5. Eve: 3 years B2B, HubSpot certified

Output:

## Batch Screening Summary: Marketing Manager

### Quick Rank

| Rank | Candidate | Score | Recommendation |
|------|-----------|-------|----------------|
| 1 | David | 95% | Priority Interview |
| 2 | Alice | 85% | Priority Interview |
| 3 | Eve | 75% | Standard Review |
| 4 | Carol | 55% | Conditional Hold |
| 5 | Bob | 40% | Not Qualified |

---

### Individual Summaries

#### 1. David (95%) - PRIORITY INTERVIEW

| Requirement | Status | Score |
|-------------|--------|-------|
| 3+ years | ✅ 6 years | 4/4 |
| B2B experience | ✅ Full tenure | 4/4 |
| Analytics skills | ✅ Tool owner | 4/4 |

**Standout:** Exceptional analytics depth - owns a marketing analytics tool
**Interview:** Immediately

---

#### 2. Alice (85%) - PRIORITY INTERVIEW

| Requirement | Status | Score |
|-------------|--------|-------|
| 3+ years | ✅ 5 years | 4/4 |
| B2B experience | ✅ Full tenure | 4/4 |
| Analytics skills | ✅ GA certified | 3/4 |

**Standout:** Solid all-around, Google Analytics certification
**Interview:** This week

---

#### 3. Eve (75%) - STANDARD REVIEW

| Requirement | Status | Score |
|-------------|--------|-------|
| 3+ years | ✅ Exactly 3 | 3/4 |
| B2B experience | ✅ Full tenure | 4/4 |
| Analytics skills | ⚠️ HubSpot only | 2/4 |

**Concern:** HubSpot is automation, not analytics
**Interview:** Probe analytics skills deeper

---

#### 4. Carol (55%) - CONDITIONAL HOLD

| Requirement | Status | Score |
|-------------|--------|-------|
| 3+ years | ✅ 4 years | 3/4 |
| B2B experience | ⚠️ Mixed | 2/4 |
| Analytics skills | ❌ Basic Excel | 1/4 |

**Concern:** Weak analytics foundation
**Hold:** Consider if top candidates decline

---

#### 5. Bob (40%) - NOT QUALIFIED

| Requirement | Status | Score |
|-------------|--------|-------|
| 3+ years | ❌ 2 years | 1/4 |
| B2B experience | ❌ B2C only | 1/4 |
| Analytics skills | ✅ Strong | 3/4 |

**Disqualified:** Does not meet experience or B2B requirements
**Action:** Reject with positive note on analytics skills

---

### Screening Actions

| Action | Candidates |
|--------|------------|
| Schedule interviews | David, Alice |
| Standard queue | Eve |
| Hold file | Carol |
| Rejection email | Bob |

Skill Boundaries

What This Skill Does Well

  • Structuring evaluation criteria
  • Consistent scoring application
  • Identifying relevant flags
  • Documenting decisions

What This Skill Cannot Do

  • Assess culture fit
  • Verify claims accuracy
  • Conduct background checks
  • Replace human judgment

Important Compliance Notes

  • Focus only on job-related criteria
  • Avoid protected class considerations
  • Document all decisions
  • Apply criteria consistently

Iteration Guide

Follow-up Prompts:

  • "Create interview questions based on this screening"
  • "What should I probe further with [candidate]?"
  • "Compare these top 3 candidates side by side"
  • "Draft rejection email for [candidate]"

References

  • SHRM Structured Interviewing Guidelines
  • EEOC Uniform Guidelines on Employee Selection
  • Google re:Work Hiring Practices
  • Lever Recruiting Best Practices

Related Skills

  • interview-scheduler - Coordinate interviews
  • onboarding-guide - Post-hire integration
  • job-description-writer - Create requirements

Skill Metadata

  • Domain: HR Operations
  • Complexity: Intermediate
  • Mode: centaur
  • Time to Value: 10-15 min per resume
  • Prerequisites: Job requirements, resumes

GitHub Repository

guia-matthieu/clawfu-skills
Pfad: skills/hr-ops/resume-screener
0
ai-skillsanthropicclaude-codeclaude-skillsmarketingmcp-server

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