Convert Technion PDF academic catalogs into structured JSON data.
npx skills add https://github.com/sogrim/technion-sogrim --skill catalog-extractor
Please help me install this Agent Skill. Skill: catalog-extractor Source: https://github.com/sogrim/technion-sogrim/tree/main/.claude/skills/catalog-extractor Command: npx skills add https://github.com/sogrim/technion-sogrim --skill catalog-extractor
This Skill streamlines the process of extracting academic degree catalogs from Technion PDFs and converting them into structured JSON, saving significant time and reducing manual errors in data migration.
Use the catalog-extractor skill to extract a Technion catalog from the attached 'ComputerScience3years2024-2025.pdf' into structured JSON format.
High-intent search queries and answers about installing and using this skill.
PDF parsing of academic catalogs extracts structured data like degree requirements, course lists, and credit hours from Technion documents. It uses custom Python algorithms to identify specific PDF formats and map academic information to a structured JSON schema.
You can automate degree audit data migration by parsing Technion PDF catalogs into structured JSON format. This process replaces manual data entry, reduces errors, and outputs structured academic information ready for integration into Sogrim and other auditing systems.
You need Python programming knowledge and familiarity with the specific Technion PDF format to use this Skill effectively. Understanding JSON schema mapping for academic information is also required to execute custom parsing algorithms correctly.
The best way to extract course data from a Technion PDF catalog is using automated Python parsing algorithms that identify structured academic information and convert it into JSON format. This ensures accurate data mapping for Sogrim integration and auditing systems.
This PDF parsing approach is designed specifically for Technion academic catalogs and requires knowledge of the specific PDF format. It may not directly support academic catalogs from other institutions without modifying the custom Python parsing algorithms and JSON schema.
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