Automates job posting discovery, description extraction, and CV-to-JD evaluation into a dated Markdown report.
npx skills add https://github.com/MLMario/JobSearchScan --skill scan-mlmario
Please help me install this Agent Skill. Skill: scan Source: https://github.com/MLMario/JobSearchScan/tree/main/.claude/skills/scan Command: npx skills add https://github.com/MLMario/JobSearchScan --skill scan-mlmario
Automates the end-to-end process of discovering open job postings, enriching them with full descriptions, and evaluating fit against your CV and preferences, delivering a clear pass/fail narrative.
Run the /scan command to execute the end-to-end workflow.
High-intent search queries and answers about installing and using this skill.
Automated job postings discovery and CV evaluation works by fetching listings from company portals via ATS APIs, extracting schema.org JobPosting data, and scoring CV-to-JD alignment against your preferences. It outputs a dated Markdown evaluation report with a clear pass/fail narrative.
CV-to-JD alignment scoring applies a four-step checklist evaluating dealbreakers, hard preferences, soft preferences, and overall rationale. This process generates a pass/fail narrative based on your specific CV and job requirements.
Playwright is used as a fallback for job description extraction when ATS API access is unavailable or custom portal pages are encountered. It visits posting URLs to extract schema.org JobPosting data automatically.
Evaluation reports are saved as dated Markdown files in the reports directory, formatted as YYYY-MM-DD-evaluation.md. This report contains the full pass/fail narrative and scoring rationale for all scanned postings.
Monitoring multiple company portals is best handled by automating end-to-end discovery across configured ATS APIs, enriching missing descriptions via Playwright fallback, and scoring all postings in a single run.
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