jd-analyzer

Extract structured skills, qualifications, and responsibilities from JD text into a predefined schema.

23|7|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/huifer/claude-code-interview --skill jd-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jd-analyzer
Source: https://github.com/huifer/claude-code-interview/tree/main/.claude/skills/jd-analyzer
Command: npx skills add https://github.com/huifer/claude-code-interview --skill jd-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

JD analysis often consumes time and introduces inconsistencies when extracting required skills, qualifications, and responsibilities from job descriptions. The JD-Analyzer Skill automates structured extraction to accelerate candidate sourcing, resume matching, and gap analysis.

Core Features & Use Cases

  • Structured extraction: Pulls out required_skills, preferred_skills, responsibilities, and qualifications from JD text for downstream processing.
  • Skills-gap analysis: Compares JD requirements with resumes to highlight missing capabilities and improvement opportunities.
  • Use Case: Given a JD sample, generate a structured schema suitable for matchmaking and reporting to recruiters.

Quick Start

Provide a JD text to the Skill to extract structured data and generate a match report.

Frequently Asked Questions about jd-analyzer

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

FAQPage Schema
How do I extract required skills and qualifications from job description text?

To extract required skills and qualifications from job description text, you can use an automated JD analyzer to pull structured data like required_skills, responsibilities, and education for downstream resume matching.

What is the best way to compare a resume against a JD for a skills gap analysis?

The best way to perform a skills gap analysis is to process both the resume and the job description through an extraction tool to identify missing capabilities and generate a structured match report highlighting improvement opportunities.

Does multilingual job description parsing work for extracting responsibilities?

Yes, multilingual job description parsing supports extracting responsibilities and required fields from JD text in multiple languages, enabling consistent candidate sourcing and structured matchmaking across international roles.

Can I generate a structured schema from JD content for candidate screening?

Yes, you can generate a structured schema from JD content by applying analysis to extract strict fields like skills, experience, and education, resulting in a format suitable for automated candidate screening and reporting.

How do I prepare for an interview using job description data?

You can prepare for interview readiness by analyzing the JD to extract structured responsibilities and preferred skills, allowing you to identify required capabilities and align your experience with the role's demands.