Score recent job listings against a predefined seeker profile.
npx skills add https://github.com/EtanHey/golems --skill match-etanhey
Please help me install this Agent Skill. Skill: match Source: https://github.com/EtanHey/golems/tree/main/packages/jobs/skills/match Command: npx skills add https://github.com/EtanHey/golems --skill match-etanhey
This Skill automates the process of evaluating new job listings against a user's professional profile, identifying the most relevant opportunities.
Run the job matching algorithm on recent scrapes to score new listings against your profile.
High-intent search queries and answers about installing and using this skill.
To score job listings against your professional profile, you can use an automated matching algorithm that evaluates skill, role level, location, and salary compatibility. It analyzes recent postings and stores the results in a database to identify relevant opportunities.
LLM evaluation for job matching analyzes your predefined seeker profile against recent job postings. It scores compatibility across skills, role level, location, and salary, storing these scores in a database and reporting on the overall match distribution.
Yes, you can use a predefined seeker profile to perform automated recruiting scoring. The matching algorithm evaluates new job listings consistently against your profile, ranking postings and flagging strong matches with a score of 8 or higher.
The best way to filter scraped job postings is to run an automated scoring algorithm against a predefined seeker profile. This evaluates skill, location, and salary compatibility, triggering notifications for high-scoring positions to identify the most relevant opportunities.
To set up automated job profile scoring, you need a predefined seeker profile and recent scraped job listings. The algorithm uses these inputs to evaluate compatibility, storing the resulting match scores in a database and reporting on the distribution.
A limitation of using LLM evaluation for job matching is that it relies strictly on a predefined seeker profile and recent scrapes. Compatibility is analyzed across skills, location, and salary, but scoring accuracy depends on the quality of the input profile and job data.
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