Clawfu-skills resume-screener
Screen resumes efficiently against job requirements with structured scoring, red flag identification, and interview recommendations
install
source · Clone the upstream repo
git clone https://github.com/guia-matthieu/clawfu-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/guia-matthieu/clawfu-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/hr-ops/resume-screener" ~/.claude/skills/guia-matthieu-clawfu-skills-resume-screener && rm -rf "$T"
manifest:
skills/hr-ops/resume-screener/SKILL.mdsource content
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 Does | You Decide |
|---|---|
| Creates screening rubrics | Hiring decisions |
| Scores against criteria | Culture fit assessment |
| Identifies red/green flags | Interview invitation |
| Summarizes qualifications | Final selection |
| Flags potential concerns | Exception handling |
Instructions
Step 1: Define Job Criteria
Required vs. Preferred:
| Category | Must Have | Nice to Have |
|---|---|---|
| Education | Minimum degree | Advanced degree |
| Experience | X years in Y | Specific industry |
| Skills | Core technical | Adjacent skills |
| Certifications | Required licenses | Preferred certs |
Scoring Weight:
| Criterion | Weight | Rationale |
|---|---|---|
| Required experience | 40% | Core capability |
| Required skills | 30% | Day-one impact |
| Education | 15% | Foundation |
| Preferred qualifications | 15% | Growth potential |
Step 2: Create Screening Rubric
Scoring Scale:
| Score | Definition |
|---|---|
| 4 | Exceeds requirement significantly |
| 3 | Meets requirement fully |
| 2 | Partially meets requirement |
| 1 | Does not meet requirement |
| 0 | Cannot assess from resume |
Step 3: Evaluate Resume
Assessment Framework:
- Check must-have requirements (binary pass/fail)
- Score each criterion (1-4 scale)
- Calculate weighted total
- Identify flags (red and green)
- 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 Range | Action |
|---|---|
| 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
- Coordinate interviewsinterview-scheduler
- Post-hire integrationonboarding-guide
- Create requirementsjob-description-writer
Skill Metadata
- Domain: HR Operations
- Complexity: Intermediate
- Mode: centaur
- Time to Value: 10-15 min per resume
- Prerequisites: Job requirements, resumes