A professional AI-driven resume evaluation tool that uses a funnel-based methodology to identify the most suitable and authentic candidates for any role.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install resume-screening
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install resume-screening using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Resume Screening Agent Skill?
This Openclaw Skills solution implements a rigorous funnel-based process for professional resume screening, following the principle of hard requirements first and soft skills later. Rather than searching for a generic perfect candidate, the skill focuses on finding the most suitable and authentic talent by evaluating three distinct dimensions: basic matching, core competencies, and motivational stability. It is designed to handle high-volume recruitment pipelines while maintaining deep analytical precision.
By leveraging this specific tool within Openclaw Skills, hiring managers and recruiters can move beyond surface-level keyword matching to true behavioral event verification. The skill scrutinizes project descriptions for quantitative achievements and independent thinking, ensuring that only the highest quality candidates reach the interview stage.
Resume Screening Agent Skill Use Cases
- Batch screening of large resume pools to quickly eliminate unqualified applicants based on hard criteria.
- Deep technical and behavioral evaluation of high-potential candidates using the STAR methodology.
- Generating structured interview recommendations and candidate rankings for investment, tech, or management roles.
- Identifying potential red flags such as frequent job-hopping or inconsistent career timelines.
How Resume Screening Agent Skill Works
- The agent extracts essential job qualifications and requirements from the provided job description to create a baseline keyword list.
- It performs an initial automated scan to filter out candidates who do not meet mandatory education, experience, or skill thresholds.
- The skill conducts a deep behavioral analysis, looking for quantitative data and specific roles (e.g., led vs. assisted) in project descriptions.
- It applies a weighted 100-point scoring system across hard conditions, core competencies, and professional potential.
- The process concludes by generating a prioritized list of recommended, pending, and rejected candidates with detailed feedback.
Resume Screening Agent Skill Setup
To integrate this Openclaw Skills workflow into your AI agent environment, follow these installation and configuration steps:
# Add the resume screening skill to your local agent environment
openclaw skill add resume-screening
# Configure the skill with your specific Job Description (JD)
openclaw skill configure resume-screening --source ./docs/job-description.md
# Point the agent to the directory containing candidate resumes
openclaw skill run resume-screening --input ./resumes/
Resume Screening Agent Skill Data Schema & Taxonomy
The skill organizes candidate data and screening results into a structured format for easy review:
| Dimension | Weight | Evaluation Criteria |
|---|---|---|
| Hard Conditions | 30% | Education, professional major, years of experience, and mandatory certifications. |
| Core Competency | 50% | Industry relevance, quantitative project performance (STAR), and keyword density. |
| Professionalism | 20% | Stability (job duration), logical resume structure, and motivational alignment. |
Generated files include a top 10% recommendation list, a 20% pending pool, and a rejection log with specific justifications.
Resume Screening Agent Skill Advanced Features
- STAR Methodology Verification: Automatically validates the Situation, Task, Action, and Result in project descriptions.
- Quantitative Performance Scoring: Prioritizes candidates who provide measurable metrics and data-driven outcomes.
- Automated Fraud Detection: Identifies overlapping timelines, unexplained career gaps, and conflicting metadata.
- Custom Weighting Logic: Allows users to adjust the priority between hard technical requirements and soft professional potential.
- Industry-Specific Intelligence: Includes built-in benchmarks for high-tech, finance, and semiconductor sectors.
SKILL.md
Loading
Related Openclaw Skills
Dev Progress Governor
An execution-governance skill that enforces commit discipline, generates messages, and maintains structured progress logs.
CCW Project Supervisor
A specialized AI supervisor designed to orchestrate the Claude Code Workflow and OpenClaude lifecycle for efficient software execution.
Court
A comprehensive AI agent skill designed to demystify courtroom procedures, translate complex legal documents, and prepare individuals for hearings.
Expense AI Skill
An intelligent expense management skill that automates the tracking, categorization, and reporting of personal and business spending.
mergeiq
A provider-agnostic complexity scoring engine that quantifies the depth of code changes using a multi-dimensional framework.
AI Text Detector
An intelligent linguistic analyzer that estimates the probability of text being AI-generated based on structural and stylistic features.
Featured*
