jd-parsing

Name: jd-parsing
Availability: InStock
Author: gw-ai-security

Extract structured requirements from job descriptions using rule-based parsing.

Updated Aug 23, 2026

Search Tags:#nlp #regex #data-extraction #parse #job-description #jd-parsing

Ready to run

npx skills add https://github.com/gw-ai-security/ats-cv-scorer --skill jd-parsing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: jd-parsing
Source: https://github.com/gw-ai-security/ats-cv-scorer/tree/main/.codex/skills/jd-parsing
Command: npx skills add https://github.com/gw-ai-security/ats-cv-scorer --skill jd-parsing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diese Fähigkeit extrahiert aus Job Descriptions strukturierte Anforderungen, um Matching und Analyse effizienter zu gestalten.

Core Features & Use Cases

Strukturierte Felder extrahieren: Extrahiert gängige JD-Felder wie Anforderungen, Fähigkeiten, Erfahrungen, Standort und Arbeitsmodell.
Mehrsprachige JD-Unterstützung: Funktioniert für DE/EN JD-Varianten und Header/Parsing-Regeln.
Use Case: Unternehmen können große Mengen JD-Anzeigen in standardisierte Felder überführen, um Rekrutierungsprozesse zu automatisieren.

Quick Start

Gib eine JD-Datei ein und lass das System die Felder extrahieren.

Frequently Asked Questions about jd-parsing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract structured requirements from job descriptions?▼

You extract structured requirements from job descriptions by inputting a JD file into the system. A rule-based parsing workflow then isolates standard fields like skills, experience, location, and work model.

Can I parse German and English job descriptions using the same tool?▼

Yes, you can parse German and English job descriptions. The system supports DE/EN JD variants and allows extensions to header recognition and parsing rules for both languages.

What job description fields can I extract for recruitment automation?▼

You can extract common job description fields such as requirements, skills, experience, location, and work model. These standardized outputs enable automated matching and analysis of large JD volumes.

How do I extend parsing rules for new job description fields?▼

You extend parsing rules for new job description fields by updating the core parser module and its associated unit tests. This rule-based workflow ensures new extraction logic remains reliable.

What is the best way to standardize large volumes of job postings?▼

The best way to standardize large volumes of job postings is using a rule-based extraction workflow. It converts raw JD text into structured fields, enabling efficient automated recruitment processes.