SkillsLib.ai

Greenhouse Candidate Screening & Ranking Accelerator

Screen and rank Greenhouse candidates at scale with compliance guardrails

0.0(0 reviews)
10+ downloads
Updated Sep 2026

What You Can Do

Systematically evaluate multiple Greenhouse candidates against custom scoring rubrics, generate bias-free hiring manager briefs, and rank candidates comparatively. Claude scores each candidate against structured criteria, flags potential concerns, and produces compliance-safe feedback ready for your hiring team — reducing manual screening time and standardizing evaluations across your recruiting organization.

Features

Standardized scoring rubric

Define role-specific evaluation criteria (technical skills, experience, cultural fit, etc.) and apply consistent scoring across all candidates

Compliance-safe feedback

Claude automatically detects and removes biased language, protected class references, and discriminatory patterns from evaluations

Candidate ranking & comparison

Rank multiple candidates side-by-side with score justifications and relative strength analysis

Hiring manager briefs

Generate concise, actionable summaries highlighting key qualifications, red flags, and recommendations for each candidate

Batch screening

Process 10-50 candidates in a single session to accelerate high-volume recruiting cycles

Custom evaluation criteria

Tailor scoring rubrics by role, seniority level, function, or region to match your hiring needs

Red flag detection

Automatically surface resume gaps, inconsistencies, or concern patterns for human review

Evidence-linked scoring

Each score includes specific resume excerpts and justifications tied to your rubric criteria

Example Output

Candidate Ranking Summary:

RankNameTechnicalExperienceFitOverallStatus
1Sarah Chen9/108/108/108.3/10✅ Strong Proceed
2Michael Rodriguez8/109/107/108.0/10✅ Proceed
3Emma Watson7/108/106/107.0/10⚠️ Review for gaps

Hiring Manager Brief (Sarah Chen):

  • Overall Rec: Strong Proceed — Interview recommended
  • Key Strengths: 7 years Python/SQL backend experience, led 3-person team, shipped 2 production systems
  • Fit: Demonstrated ownership mindset; mentored junior developers
  • Concerns: None identified
  • Interview Focus: Scalability decisions, team leadership style

Compliance Check: ✅ Zero protected class references • ✅ Neutral language • ✅ Evidence-based scoring

What's Included

  • SKILL.md: Complete candidate screening workflow with scoring rubric, compliance rules, and batch processing instructions
  • Evaluation Rubric Template: Customizable scoring framework (technical, experience, fit, communication)
  • Compliance Checklist: Language patterns to avoid; examples of bias-free feedback
  • Candidate Batch Template: Structured format for submitting 10-50 candidates at once
  • Hiring Manager Brief Template: Ready-to-forward summary format
  • Red Flag Reference Guide: Common resume patterns and gap analysis rules

Who It's For

  • Recruiters & Recruiting Coordinators — Accelerate first-pass screening and reduce manual ranking time
  • Hiring Managers — Get standardized, bias-free candidate summaries ready for interviews
  • Talent Acquisition Teams — Scale high-volume recruiting cycles while maintaining evaluation consistency
  • RPOs & Staffing Agencies — Standardize candidate evaluation across multiple clients and hiring teams
  • Internal Recruitment Operations — Build defensible, audit-ready screening records for compliance

Best For

  • High-volume candidate screening — 25+ applications per role; first-pass filtering before human review
  • Standardizing team evaluations — Multiple recruiters or hiring managers; consistent scoring rubrics
  • Compliance-sensitive industries — Finance, healthcare, regulated sectors requiring bias-free records
  • Rapid hiring cycles — Need to rank top candidates within hours, not days
  • Building evaluation records — Create defensible, structured scoring documentation for audit trails

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