Can I use it for jobs outside of AI and Machine Learning?

While the default configuration targets AI roles, the search keywords and parameters can be easily customized to support any industry or job title.

What resume file formats are supported?

The workflow primarily processes .docx files and uses Pandoc to convert them into Markdown for analysis and optimization.

How does this skill help with ATS systems?

The skill uses NLP to analyze job descriptions and strategically integrates high-priority keywords and exact-match phrases into your resume to improve its ranking in Applicant Tracking Systems.

Does this require any external servers?

Yes, this skill requires the Playwright MCP server to be running locally to handle browser automation and job data extraction from LinkedIn.

LinkedIn Resume & Job Optimizer

Name: LinkedIn Resume & Job Optimizer
Author: alijilani-dev

byalijilani-dev

Web Scraping & Data Collection

Automates LinkedIn job searching and generates ATS-optimized resumes with integrated skill gap analysis and interview preparation.

About

This skill provides a comprehensive, end-to-end automated workflow for modern job seekers, specifically designed for AI and technical roles. It orchestrates browser automation via Playwright to discover relevant LinkedIn listings, uses advanced NLP to analyze your base resume against job requirements, and generates tailored documents designed to rank highly in Applicant Tracking Systems (ATS). Beyond document generation, it provides a strategic advantage by identifying critical skill gaps, suggesting LinkedIn profile updates, and producing targeted interview questions to ensure you are fully prepared for every stage of the hiring process.

Key Features

ATS-optimized resume tailoring with high-priority keyword integration
Automated interview question generation based on identified gaps
0 GitHub stars
Automated LinkedIn job scraping for targeted AI and remote positions
Detailed skill gap analysis comparing resume content to job descriptions
Actionable LinkedIn profile optimization recommendations

Use Cases

Tailoring professional resumes to bypass automated ATS filters
Preparing for technical interviews by identifying and addressing personal skill gaps
Scaling job applications for specialized AI and Machine Learning roles

About

Key Features

ATS-optimized resume tailoring with high-priority keyword integration
Automated interview question generation based on identified gaps
0 GitHub stars
Automated LinkedIn job scraping for targeted AI and remote positions
Detailed skill gap analysis comparing resume content to job descriptions
Actionable LinkedIn profile optimization recommendations

Use Cases

Tailoring professional resumes to bypass automated ATS filters
Preparing for technical interviews by identifying and addressing personal skill gaps
Scaling job applications for specialized AI and Machine Learning roles