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Use AI to create ASCII text-based preview of PDF page layout. Transforms visual and extracted data into structured ASCII representation for HTML generation.
Passed 15 of 21 test cases with the skill, and 5 of 21 without it.
and 15 more in the full report
11 fixed5 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
When constructing the header section for page index 16, book page 17, chapter 2, what exact metadata details belong on the line directly beneath the main title banner?
| Checked | Without skill | With skill |
|---|---|---|
| Formats metadata fields separated by vertical bar pipe characters | Missed | Passed |
| Includes page dimensions formatted as Dimensions: 612x792px | Missed | Passed |
The instructions your model reads when the skill loads.
This skill uses AI to create a meaningful ASCII text-based representation of the PDF page layout. The AI:
The ASCII preview serves as a structured representation of page layout, enabling the downstream AI-HTML generator to understand both visual layout and content structure.
Load input files
02_page_XX.png (visual reference)01_rich_extraction.json (text spans with metadata)Invoke AI to analyze and represent
AI generates ASCII preview
Validate ASCII output
Save to persistent file
output/chapter_XX/page_artifacts/page_YY/03_page_XX_ascii.txttest cases passed, vs 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.