Generates styled HTML front matter pages from book metadata.
npx skills add https://github.com/shuff57/agent-evo --skill book-front-matter
Please help me install this Agent Skill. Skill: book-front-matter Source: https://github.com/shuff57/agent-evo/tree/main/skills/.archive/book-front-matter Command: npx skills add https://github.com/shuff57/agent-evo --skill book-front-matter
The creation of styled HTML front matter for merged book projects is often time-consuming and error-prone. This skill automates this process, streamlining the front matter generation for projects containing multiple source books.
Use the 'book-front-matter' skill to generate front matter for your book project 'BookProject'.
High-intent search queries and answers about installing and using this skill.
HTML front matter generation for merged book projects is automated by reading metadata from contributing source books to extract titles, editions, and authors. This process creates a styled page showing the project timeline, attributions, and licenses.
Generating front matter requires metadata from contributing source books, specifically book titles, editions, author names, and copyright information. The skill automatically detects these details to build the styled HTML output.
Generated book front matter supports configuration flexibility, allowing custom project names, output paths, and subtitle specifications. This ensures the styled HTML integrates correctly into your specific project structure.
Compiling attributions and licenses for multiple source books is handled by automatically reading existing metadata from each contributing book. The output is a consolidated, styled HTML front matter page displaying all relevant project statistics and licenses.
Automated front matter generation is optimized specifically for the bookSHelf project structure. It reads metadata from source books within this environment to automatically generate the required styled HTML pages.
Manual front matter creation for multiple source books becomes error-prone due to time-consuming metadata aggregation across titles, authors, and licenses. Automating this generation process streamlines data detection and ensures accurate HTML output.
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