A professional resume optimization tool that uses a five-dimension analysis to boost ATS scores and career impact.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install resume-optimizer-uk
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-optimizer-uk using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Resume Analyzer is a sophisticated tool designed to bridge the gap between job seekers and the modern UK job market. By leveraging Openclaw Skills, this agent meticulously parses .docx files, evaluates them against specific job descriptions, and provides actionable feedback. It goes beyond simple spell-checking by implementing the CAR (Context, Action, Result) method to transform generic work experience into high-impact, quantifiable achievements.
This system ensures that professional profiles are not just readable, but strategically engineered to pass through automated filters and impress human recruiters. As a part of the Openclaw Skills collection, it provides a structured approach to resume tailoring that is both repeatable and highly effective.
To get started with this skill from the Openclaw Skills library, ensure you have your .docx resume and the job description ready. Execute the following commands to begin the parsing and analysis phase:
python scripts/parse_resume.py <input.docx> --output parsed_resume.json
python scripts/analyze_resume.py parsed_resume.json [--jd job_description.txt] --output analysis_report.json
The Resume Analyzer organizes data through a structured pipeline to ensure consistency and precision across all Openclaw Skills workflows.
| Component | File Name | Description |
|---|---|---|
| Content Parser | parsed_resume.json |
Extracted text and section hierarchy from the source .docx. |
| Analytics Engine | analysis_report.json |
Scoring data for the five key dimensions and keyword overlap. |
| User Context | supplemental_data.json |
Answers from the interactive Q&A phase used to enrich the resume. |
| Final Document | optimized_resume.docx |
The production-ready resume with annotated changes and comments. |
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