mcpField
R
resume-screener

resume-screener

github.com/guia-matthieuOther150285 installsUpdated 4w ago
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About resume-screener

Resume Screener is a skill for evaluating resumes against job requirements, intended for recruiters and hiring managers. It supports screening with structured scoring, weighted totals, flags, and documented recommendations while leaving final hiring decisions to people.

Key features

  1. 01Separate required and preferred criteria
  2. 02Create objective rubrics with weighted scores
  3. 03Check must-haves and score each criterion
  4. 04Flag strengths, concerns, and risks
  5. 05Document scores, rationale, and recommendations

Use cases

  1. 01Screen a high volume of job applications
  2. 02Define evaluation criteria for a role
  3. 03Standardize resume reviews across hiring managers
  4. 04Audit screening consistency and documentation

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/guia-matthieu/clawfu-skills --skill resume-screener

After installing, type/resume-screenerin Claude Code to confirm it loaded.

Details

From the project README

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

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