bible-epub-processing
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large-document-processing
Process large documents (200+ pages) with structure preservation, intelligent parsing, and memory-efficient handling. Also covers intelligent text chunking for AI training and RAG systems. Use when working with complex formatted documents, multi-level hierarchies, or when splitting large content for AI pipelines.
28python-venv-management
Automatically manage Python virtual environments (.venv) in terminal commands. Always activate .venv before running Python/pip commands. Supports macOS, Linux, and Windows with shell-aware activation. Use when executing Python scripts, installing packages, or running development servers. Critical for consistent environment management.
14document-ocr-processing
Process scanned documents and images containing Chuukese text using OCR with specialized post-processing for accent characters and traditional formatting. Use when working with scanned books, documents, or images that contain Chuukese text that needs to be digitized.
12translation-quality-assessment
Assess and validate translation quality between Chuukese and English with cultural context awareness, linguistic accuracy checking, and automated quality metrics. Supports Helsinki-NLP model evaluation with BLEU, chrF, and model-specific scoring. Use when evaluating translation outputs, building quality control systems, or validating translation models.
10docker-containerization
Docker containerization patterns for Python Flask applications with ML models, Tesseract OCR, and React frontends. Use when building, debugging, or deploying Docker containers for the Chuuk Dictionary application.
9code-documentation-standards
Comprehensive code documentation standards and guidelines for maintaining up-to-date documentation across Python, HTML, CSS, and JavaScript codebases. Use when creating or modifying code to ensure proper documentation practices and maintainable code.
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