Can this skill merge results from different websites?

Yes, it includes job deduplication logic that normalizes company names and titles to recognize and merge the same job listing found on multiple boards like Indeed and Stepstone.

How is the job quality score calculated?

Scores are assigned based on factors such as salary availability, remote work options, being a direct employer, and how recently the job was posted.

How does the agency detection work?

The skill uses a large keyword list and a direct-match database of major international and regional recruitment firms (like Hays, Randstad, and Adecco) to filter out agency postings from your results.

What kind of jobs does the 'Technical Role Detection' keep?

It uses an 'exclude-only' logic to remove clerical, accounting, and administrative roles (like 'clerk' or 'secretary') while retaining any technical roles identified by your primary search query.

Job Filtering & Lead Deduplication

Name: Job Filtering & Lead Deduplication
Author: fenrirlabsnl

byfenrirlabsnl

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Web Scraping & Data Collection

Filters, deduplicates, and scores job listings to isolate high-quality technical roles from direct employers.

This skill provides a robust set of shared algorithms and keyword lists designed to refine job scraping results from sources like Indeed and Stepstone. It specializes in detecting and removing recruitment agencies, filtering out non-technical administrative roles, and merging duplicate listings from multiple job boards. By applying normalization and quality scoring, it ensures that Claude identifies the most relevant, high-paying, and direct hiring opportunities while preparing company data for accurate LinkedIn lead generation and outreach.

Key Features

011 GitHub stars

02Advanced agency detection using a comprehensive database of global and European recruitment firms.

03Smart technical role filtering that excludes administrative, clerical, and entry-level non-tech positions.

04Cross-platform deduplication that merges duplicate listings from different job boards into a single record.

05Company name disambiguation logic to improve the success rate of follow-up LinkedIn lead searches.

06Automated quality scoring based on salary data, remote options, and posting freshness.

Use Cases

01Cleaning scraped job data to remove 'middleman' agencies and focus on direct employer listings.

02Automating the prioritization of job leads based on specific criteria like remote work and salary transparency.

03Consolidating job search results from multiple boards into a unified, high-signal list.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fenrirlabsnl/claude-skills job-filtering

For use in Claude.ai and ChatGPT

Download Skill