A sophisticated recruitment tool that automates the evaluation and scoring of job applications against specific role requirements.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install applicant-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 applicant-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 Applicant Screening?
The Applicant Screening skill is a specialized tool within the Openclaw Skills ecosystem designed to modernize the talent acquisition process. By utilizing advanced logic, it allows hiring managers and HR professionals to objectively evaluate resumes against a detailed requirements matrix. This skill synthesizes complex candidate data to identify must-have qualifications, nice-to-have bonuses, and potential disqualifiers, ensuring a consistent and high-quality candidate pipeline.
Beyond simple keyword matching, this skill analyzes the depth of experience and evidence of skills to provide a nuanced score for every applicant. It helps teams move from a pile of resumes to a ranked list of high-priority interview candidates in minutes, making it an essential component of modern Openclaw Skills workflows.
Applicant Screening Use Cases
- High-volume recruitment where hundreds of resumes need initial filtering for a single position.
- Technical role assessments requiring specific years of experience with tools like Python, AWS, or Machine Learning.
- Batch ranking of applicants to identify the top 5% for immediate interview scheduling.
- Standardizing screening across diverse hiring teams to ensure objective scoring and reduce bias.
- Generating tailored interview questions based on the specific gaps identified in a candidate's profile.
How Applicant Screening Works
- The user provides the job description and one or more resumes to the agent using the Openclaw Skills framework.
- The skill applies a Requirements Matrix, assigning specific weights to mandatory skills, education, and experience levels.
- It parses each application to find evidence of the required criteria, such as specific certifications or years spent in previous roles.
- A scoring rubric is utilized to calculate a final score out of 100 for each candidate, accounting for both 'must-have' and 'nice-to-have' attributes.
- The agent generates a comprehensive report, ranging from individual deep-dives to batch ranking summaries, complete with interview recommendations.
Applicant Screening Setup
To use this within your Openclaw Skills environment, ensure your agent has access to file operations for reading resume documents. Define your job requirements clearly using the screening framework provided in the documentation.
# Ensure your agent is configured with supported models
# such as claude-sonnet-4 or claude-opus-4.
Applicant Screening Data Schema & Taxonomy
The skill organizes recruitment data into highly structured Markdown formats to ensure clear communication of candidate value:
| Component | Structure | Purpose |
|---|---|---|
| Requirements Matrix | Weighted Tables | Defines the importance of each skill (e.g., Python 20%, AWS 15%). |
| Individual Report | Markdown Deep-dive | Provides a summary, score, evidence match, and specific interview questions. |
| Batch Ranking | Tiered Table | Ranks all reviewed candidates into Tier 1 (Strong), Tier 2 (Phone Screen), etc. |
| Scoring Rubric | Logical Mapping | Maps years of experience to specific point values based on role seniority. |
Applicant Screening Advanced Features
- Automated batch processing for simultaneous evaluation of dozens of applications.
- Built-in bias awareness guidelines to help teams focus strictly on job-relevant criteria and ignore protected characteristics.
- Customizable disqualifier lists to immediately filter out candidates missing essential certifications or work authorization.
- Dynamic interview question generation that targets the specific concerns or gaps found during the screening process.
- Pool-wide insights reporting to assess the overall quality of the applicant pool and identify common skill shortages.
SKILL.md
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