A specialized tool for generating high-impact, ATS-optimized resumes and CVs that emphasize quantifiable professional achievements.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cv
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 cv 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 CV Assistant?
The CV skill is a comprehensive utility designed for the Openclaw Skills ecosystem to help users create professional career documents that pass Applicant Tracking Systems (ATS). It focuses on the technical truth of a candidate's history by utilizing structured frameworks like the CAR (Action Verb + Task + Result) formula to turn passive responsibilities into impactful achievements.
By leveraging this tool within Openclaw Skills, developers and professionals can ensure their resumes are formatted correctly for their specific industry, whether they need a concise one-page resume for a tech startup or a multi-page CV for academic research roles. The skill automates the application of industry best practices, such as proper header usage and the inclusion of searchable keywords, ensuring your profile reaches human recruiters.
CV Assistant Use Cases
- Tailoring resumes for specific job descriptions to increase ATS match scores.
- Converting academic CVs into industry-standard resumes for tech career transitions.
- Generating quantified bullet points that highlight revenue growth, efficiency, or scale.
- Preparing professional summaries that serve as punchy, metric-driven hooks for recruiters.
How CV Assistant Works
- Identify the target role and region to choose between a Resume or a CV structure based on length and purpose requirements.
- Input professional experiences using the CAR formula to ensure every bullet includes an action verb and a measurable metric.
- Organize technical skills into categorized sections such as Languages, Frameworks, and Tools for better readability.
- Apply ATS optimization guidelines to remove non-parsable elements like tables, columns, or images.
- Run the final output through the pre-submit checklist to ensure formatting consistency and PDF text-selectability.
CV Assistant Setup
To integrate this capability into your workflow, ensure your environment meets the OS requirements (Linux, Darwin, or Win32). Install the skill via your preferred Openclaw Skills manager:
# Example installation command
openclaw install skill-cv
CV Assistant Data Schema & Taxonomy
The skill structures data to ensure compatibility with modern recruitment software and Openclaw Skills protocols:
| Data Component | Format | Description |
|---|---|---|
| Professional Summary | Formula-based String | Title + Years + Key Metric + Goal |
| Experience Bullets | CAR Array | Action Verb + Task + Quantified Result |
| Technical Skills | Key-Value Pairs | Grouped by category (e.g., Cloud: AWS, GCP) |
| Education | List | Institutional history with graduation dates and degrees |
CV Assistant Advanced Features
- Dynamic CAR formula generation to transform passive job descriptions into active, result-oriented achievements.
- Tech-specific data fields including GitHub profile URLs and scale-based metrics such as requests per second or user volume.
- Design-specific portfolio integration hooks for Figma and Adobe Creative Cloud professionals.
- Automatic ATS-friendly formatting that replaces complex layouts with standard bulleted lists within Openclaw Skills.
SKILL.md
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