Match textbook sections between primary and supplementary JSON files.
npx skills add https://github.com/shuff57/agent-evo --skill book-section-match
Please help me install this Agent Skill. Skill: book-section-match Source: https://github.com/shuff57/agent-evo/tree/main/skills/.archive/book-section-match Command: npx skills add https://github.com/shuff57/agent-evo --skill book-section-match
This Skill automates the matching of sections between primary and supplementary textbooks, ensuring educational content alignment and simplifying the process of merging content from multiple sources.
Run the book-section-match skill to match sections between the primary textbook 'primary_book.json' and the supplementary textbook 'supplementary_book.json'.
High-intent search queries and answers about installing and using this skill.
Textbook section matching is automated using Python scripts for deterministic placement and AI for ambiguous sections. You provide primary and supplementary JSON textbook data to align content from multiple educational sources.
The best way to align supplementary textbook content is to run automated section matching against your primary textbook JSON. This identifies exactly where supplementary content fits within the primary structure for course material merging.
Yes, you need the bookSHelf project as a dependency to run the section matching process. It serves as the foundational environment required to execute the matching scripts and process your JSON textbook data.
AI handles ambiguous section placement by evaluating supplementary content that cannot be deterministically matched by Python scripts. It determines the most appropriate section within the primary textbook to ensure accurate educational content alignment.
Textbook data must be in JSON format, such as primary_book.json and supplementary_book.json. This structured format allows the matching scripts to parse and compare sections between the different educational sources.
Yes, educators and academic institutions can use this to merge content from multiple textbook sources. It simplifies identifying where supplementary content fits within a primary textbook to create comprehensive course materials.
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