Scrape careers pages, filter US roles, and rank jobs into a CSV.
npx skills add https://github.com/HAR5HA-7663/Claude-Skills --skill job-ranker
Please help me install this Agent Skill. Skill: job-ranker Source: https://github.com/HAR5HA-7663/Claude-Skills/tree/main/job-ranker Command: npx skills add https://github.com/HAR5HA-7663/Claude-Skills --skill job-ranker
Automates the discovery and evaluation of job opportunities from a company careers page by filtering to US-based roles and ranking by fit against your background, delivering a prioritized CSV.
Provide the company careers URL and your personal_details.md; the Skill will scrape, rank, and save the results to ranked_jobs/{company}_jobs_ranked.csv.
High-intent search queries and answers about installing and using this skill.
To rank jobs from a careers page, provide the URL and your personal_details.md file. The tool scrapes job listings, filters for US-based roles, scores them against your background, and exports a ranked CSV.
Yes, job scraping filters opportunities to US-based roles, including Remote US or specific US cities and states. Non-US listings are excluded during processing to narrow down relevant opportunities.
Job ranking outputs a CSV file containing fields like Rank, Job Title, Location, Match Score, Fit Category, Key Matches, Gaps, and Job URL. This format provides a structured prioritization of opportunities.
The matching process reads your personal_details.md file and applies a defined scoring system to each scraped listing. It generates a summary highlighting Key Matches where you align and Gaps where you do not meet requirements.
Yes, you need a personal_details.md file located in the references folder. The skill reads this Markdown file to apply matching criteria and calculate a fit score for each scraped job listing.
Automating job discovery requires a company careers URL and your background profile. The tool scrapes listings, evaluates job fit by filtering US roles and scoring requirements, then saves a prioritized CSV export.
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