An advanced AI tool for deep resume auditing, multi-dimensional scoring, and professional STAR-method rewriting.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install resume-analyzer
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-analyzer 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 Analyzer?
The Resume Analyzer is a professional-grade tool within the Openclaw Skills ecosystem designed to perform deep audits of technical resumes. It goes beyond simple keyword matching by evaluating content through five critical dimensions: project depth, skill alignment, information completeness, structural clarity, and professional expression. This skill helps developers and recruiters identify technical gaps and transform mediocre descriptions into high-impact narratives.
By leveraging the power of Openclaw Skills, the analyzer compares resume content against high-standard technical benchmarks such as high-concurrency architectures, microservices governance, and complex domain modeling. This ensures that every resume analyzed is optimized for top-tier engineering roles and follows industry-leading best practices.
Resume Analyzer Use Cases
- Evaluating candidate technical proficiency during the recruitment process.
- Optimizing personal project descriptions using the STAR (Situation, Task, Action, Result) methodology.
- Benchmarking resumes against high-performance technical standards like Redis caching and microservices consistency.
- Correcting non-standard technical terminology to ensure professional industry alignment.
How Resume Analyzer Works
- The user provides the full resume text as input to the Openclaw Skills interface.
- The skill performs a terminology scan to identify and correct non-standard technical terms.
- An AI-driven audit evaluates the content based on project experience, skill matching, and structural integrity.
- Core projects are analyzed for potential STAR-based optimization and technical depth improvements.
- A comprehensive JSON report is generated, featuring a total score, detailed breakdowns, and prioritized actionable suggestions.
Resume Analyzer Setup
To utilize this functionality within your environment, ensure you have access to the Openclaw Skills directory. You can call the skill by passing a JSON payload containing the resume text.
# Example API call to the resume analyzer skill
curl -X POST https://api.openclaw.io/v1/skills/resume-analyzer \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{"resumeText": "John Doe, Java Developer with 5 years experience..."}'
Resume Analyzer Data Schema & Taxonomy
The Resume Analyzer organizes its output into a structured format for easy integration into HR platforms or personal dashboards:
| Attribute | Description |
|---|---|
| overallScore | A weighted total score from 0 to 100 |
| scoreDetail | Breakdowns for projects (40), skills (20), content (15), structure (15), and expression (10) |
| summary | A qualitative overview of the resume quality |
| strengths | An array of identified professional advantages |
| suggestions | A list of objects containing category, priority level, specific issues, and recommendations |
Resume Analyzer Advanced Features
- STAR Methodology Rewriting: Automatically generates high-impact versions of your project descriptions.
- Technical Benchmarking: Compares project solutions against advanced architectures like multi-level caching (Redis + Caffeine) and distributed transactions.
- Terminology Correction: Scans for and fixes technical nomenclature to ensure industry professionalism.
- Prioritized Action Plan: Categorizes suggestions by high, medium, and low priority for efficient resume iteration using Openclaw Skills.
SKILL.md
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