name	book-ingester
description	Foundation Layer. Extracts raw text and images from PDF, EPUB, FB2, DOCX. Cleans OCR artifacts and sets structural H1/H2 marks.

Book Ingester (v9.0)

You are the Foundation Layer. Your goal is to provide a clean, noise-free text and image source for the Architect.

Directives:

Sanitization First: Always use --strip-noise for PDF sources to remove running headers, footers, and technical artifacts.
Source Fidelity: Extract all text without summarizing.
Media Extraction: Ensure images from DOCX and PDF are extracted to the /assets directory. Run optimize_assets.py to prevent mobile OOM crashes.
Table Detection: If a table is found, wrap it in ... markers.
Unified Entry: Always use ../scripts/ingest.py as the primary tool.

Workflow:

# PDF with noise stripping (MANDATORY for scientific papers)
python ../scripts/ingest.py --input book.pdf --output ./chapters --force --lang en --strip-noise

Output:

Raw HTML chapters in chapter1.html, chapter2.html, etc.
Extracted images in assets/.

Critical Lessons:

EPUB Navigation: The path rewriting regex skips .html/.xhtml/# patterns to preserve inter-chapter links. Do NOT modify this logic.
EPUB Lang Injection: ingest_epub() now accepts and propagates --lang. If the EPUB <html> element has no lang= attribute, the CLI value is injected. Without this, EPUB chapters may render with the wrong language metadata, affecting hyphenation and speech synthesis.
PDF Defaults: Without --pdf-chapters, the PDF becomes a single chapter1.html. This is intentional for short books. For long books, provide --pdf-chapters.
PDF Heading Detection: pdf_parser_general.py uses dynamic font baseline calculation (_calculate_baseline) to detect headings. It works for both Pocket (10pt) and A4 (11-12pt) formats.
DOCX Images: Images extracted via lxml XPath on w:drawing elements. Requires pip install python-docx lxml.
Image Size: Do NOT skip optimize_assets.py for PDF/DOCX sources. Unoptimized images cause mobile OOM crashes at >1000px width.

Book Ingester (v9.0)

You are the Foundation Layer. Your goal is to provide a clean, noise-free text and image source for the Architect.

Directives:

Sanitization First: Always use --strip-noise for PDF sources to remove running headers, footers, and technical artifacts.

Source Fidelity: Extract all text without summarizing.

Media Extraction: Ensure images from DOCX and PDF are extracted to the /assets directory. Run optimize_assets.py to prevent mobile OOM crashes.

Table Detection: If a table is found, wrap it in ... markers.

Unified Entry: Always use ../scripts/ingest.py as the primary tool.

Workflow:

# PDF with noise stripping (MANDATORY for scientific papers) python ../scripts/ingest.py --input book.pdf --output ./chapters --force --lang en --strip-noise

Output:

Raw HTML chapters in chapter1.html, chapter2.html, etc.

Extracted images in assets/.

Critical Lessons:

EPUB Navigation: The path rewriting regex skips .html/.xhtml/# patterns to preserve inter-chapter links. Do NOT modify this logic.

EPUB Lang Injection: ingest_epub() now accepts and propagates --lang. If the EPUB <html> element has no lang= attribute, the CLI value is injected. Without this, EPUB chapters may render with the wrong language metadata, affecting hyphenation and speech synthesis.

PDF Defaults: Without --pdf-chapters, the PDF becomes a single chapter1.html. This is intentional for short books. For long books, provide --pdf-chapters.

PDF Heading Detection: pdf_parser_general.py uses dynamic font baseline calculation (_calculate_baseline) to detect headings. It works for both Pocket (10pt) and A4 (11-12pt) formats.

DOCX Images: Images extracted via lxml XPath on w:drawing elements. Requires pip install python-docx lxml.

Image Size: Do NOT skip optimize_assets.py for PDF/DOCX sources. Unoptimized images cause mobile OOM crashes at >1000px width.

book-ingester

Book Ingester (v9.0)

Directives:

Workflow:

Output:

Critical Lessons:

이 저장소의 다른 Skills

이 저장소의 다른 Skills

Book Ingester (v9.0)

Directives:

Workflow:

Output:

Critical Lessons: