This module serves as the entry point for utilizing AsciiDoc within the Starfire Industries AI ecosystem. Unlike standard Markdown, AsciiDoc provides the semantic rigor required for complex AI engineering and forensic reporting.
To ensure consistent rendering across the local "StarsEnd" server and the GitHub "Clean Burn" pipeline, the following attributes are initialized:
| Doctype |
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| Icons |
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| TOC |
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While the learning curve is steeper, the benefits for technical documentation are significant:
Admonition Blocks: Native support for NOTE:, TIP:, and IMPORTANT: visual callouts.
Tables: Advanced cell merging and formatting without raw HTML.
Includes: The ability to modularize documentation by pulling in external source code or sub-documents.
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When you locate your legacy Jupyter installation notes (GDocs), they can be ported here as a sub-module. The conversion from Google Docs to AsciiDoc preserves technical nesting that Markdown typically flattens. |
Starfire Industries AI - Technical Documentation Division
