job-posting-analysis
CommunityInfer a company’s tech stack from job ads.
Data & Analytics#job postings#tech stack inference#ATS detection#technology extraction#career page discovery#role pattern analysis#frequency scoring
Authorhoanghn61
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Job postings hide useful clues about a company’s real technology stack, but manually reading many listings is slow and error-prone.
Core Features & Use Cases
- Career page discovery: Finds a company’s jobs/careers page using common URL patterns and web search.
- ATS detection: Identifies the Applicant Tracking System (e.g., Greenhouse, Lever, Workday) from URL patterns to improve fetching strategy and routing.
- Technology extraction and stack inference: Extracts technology mentions (languages, frameworks, databases, tools, and infrastructure), calculates frequency-based importance, and infers role patterns to summarize the likely stack.
Quick Start
Use the job-posting-analysis skill to analyze a target company’s careers page URL and return extracted technologies, ATS platform, and an inferred tech stack summary.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: job-posting-analysis Download link: https://github.com/hoanghn61/.agents/archive/main.zip#job-posting-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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