A professional AI-driven recruitment tool that generates structured resume evaluation reports from an HR expert perspective.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install resume-evaluation-report
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install resume-evaluation-report using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Resume Evaluator is a high-performance skill designed to bridge the gap between raw candidate data and actionable hiring intelligence. By analyzing uploaded files in various formats, it synthesizes candidate strengths, identifies potential red flags, and provides a comprehensive star-rating system across multiple professional dimensions. This tool acts as a seasoned HR Director, offering blunt, objective, and data-backed insights directly to hiring managers.
Built for the Openclaw Skills ecosystem, it automates the tedious first pass of resume screening. It doesn't just summarize; it critiques, looking for career gaps, role inconsistencies, and achievement metrics to ensure only the most qualified candidates progress to the interview stage.
To enable the resume evaluator within your environment, ensure you have the necessary document processing dependencies installed. This skill integrates seamlessly into the Openclaw Skills framework.
# Install required text extraction libraries
pip install PyPDF2 python-docx
# Deploy the resume evaluator skill
openclaw install resume-evaluator
The skill organizes data into a structured report following a rigorous taxonomy:
| Section | Data Points Included |
|---|---|
| Overall Recommendation | Star rating (1-5), Pass/Fail status, core judgment summary. |
| Candidate Portrait | Years of experience, current level, education details, industry focus. |
| Core Strengths | Bulleted list of proven advantages with evidence from the resume. |
| Potential Risks | Red flags (stability, background doubts) and verification points. |
| Interview Guide | Question sets categorized by motivation, technical depth, and culture fit. |
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