A technical CLI tool designed to structure resumes, optimize keywords, and improve ATS scoring for modern job applications.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install resume-ats
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-ats 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/ATS Optimization?
Resume/ATS Optimization is a powerful addition to the Openclaw Skills ecosystem, specifically built to help candidates navigate the complexities of Applicant Tracking Systems (ATS). By leveraging advanced PDF parsing and text analysis, this tool evaluates how well your resume matches specific job descriptions, providing a quantitative score and actionable keyword insights.
Beyond simple analysis, this Openclaw Skills utility enables the automated reorganization of resume sections and the generation of new, optimized documents. Whether you are a developer looking to refine your technical profile or a professional aiming for a career pivot, this tool ensures your experience is formatted in a way that both machines and human recruiters appreciate.
Resume/ATS Optimization Use Cases
- Comparing your current resume against a target job description to identify missing technical keywords.
- Calculating an ATS compatibility score to predict how well your profile will perform in automated screening.
- Generating multiple versions of a resume using different templates like modern, classic, or minimal.
- Automating the extraction of skills and experiences from legacy PDF or text resumes.
How Resume/ATS Optimization Works
- Initialization: The user initializes the environment and configuration via the CLI to set up paths and API keys.
- Parsing: The tool utilizes PyPDF2 and PDFPlumber to extract raw text and structural data from PDF or text-based resumes.
- Analysis & Scoring: A logic engine compares the resume content against job-specific keywords and calculates a matching score.
- Optimization: The skill identifies gaps in the content and suggests or applies keyword improvements.
- Generation: Using pre-defined templates, the tool outputs a structured, professionally formatted PDF ready for submission.
Resume/ATS Optimization Setup
To get started with this component of Openclaw Skills, follow these installation steps:
# Navigate to the skill directory
cd ~/.openclaw/workspace/skills/resume-ats
# Set up a virtual environment
python -m venv .venv
source .venv/bin/activate
# Install the package locally
pip install -e .
# Alternatively, install globally using pipx
pipx install resume-ats
# Initialize configuration
resume-ats init
Resume/ATS Optimization Data Schema & Taxonomy
The skill manages data through a local SQLite database and environmental configuration files.
| Feature | Detail |
|---|---|
| Database Path | ./data/resume_ats.db |
| Formats Supported | PDF, TXT |
| Templates | modern, classic, minimal |
| Config File | .env (controls font size, family, and API keys) |
| Metadata | Tracks ATS scores, keyword frequency, and section order |
Resume/ATS Optimization Advanced Features
- Multi-format output support for generating resumes in various professional styles using a single source file.
- AI-powered keyword matching and optimization via optional OpenAI API integration.
- Automated section reorganization to prioritize high-impact professional experience.
- Comprehensive test suite and coverage reporting for developers extending the tool's core logic.
SKILL.md
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