Process job posting URLs through deduplication, extraction, screening, and classification.
npx skills add https://github.com/teslamint/resume-builder --skill jd-batch
Please help me install this Agent Skill. Skill: jd-batch Source: https://github.com/teslamint/resume-builder/tree/main/.claude/skills/jd-batch Command: npx skills add https://github.com/teslamint/resume-builder --skill jd-batch
Jd-batch orchestrates large-scale resume workflows by automatically handling duplicate detection, extraction, screening, and destination classification so talent teams do not have to manually triage dozens of JD URLs.
Instruct the skill to process your urls.txt list through the jd pipeline so it can deduplicate, extract, screen, and classify each posting.
High-intent search queries and answers about installing and using this skill.
Batch screening job postings is automated by processing a URL list through a pipeline that handles duplicate detection, extraction, screening, and classification. You supply a list of URLs and receive automatically categorized job postings sorted into high, hold, or pass folders.
Automated job posting classification routes matches by running an extraction pipeline that creates conditional folders such as high, hold, or pass while summarizing results. This enables AI-assisted hiring decisions by sorting postings into prioritized destination directories.
Yes, you can use Chrome MCP to enrich company information during job description extraction by fetching or reusing company profiles. The pipeline automatically validates metadata and applies prioritized salary data before final screening.
Batch processing job postings supports rescreening existing URLs for duplicates within the same pipeline invocation. The system automatically deduplicates your input list before triggering extraction and final classification.
The best way to handle multi-platform JD batches is applying an automated pipeline that extracts and classifies postings across platforms. This workflow validates company metadata and routes results into categorized folders for hiring decisions.
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