Extract HEAL Text from PowerPoint

Extract HEAL content by identifying Highlights, Emerging Issues, Lowlights, Priorities, and Actions from PowerPoint slides using layout-specific parsing. The Skill detects table structures (Gloria 4x2, Shafts & Winders, N3) and outputs formatted text files, eliminating manual copy-pasting across week-based PPTX files.

Yes. The Skill handles site-specific table layouts including Gloria, Shafts & Winders, and N3 structures, adapting extraction logic for each presentation format. It deduplicates content and standardizes bullet-point formatting across different site configurations.

The Skill supports Gloria 4x2 tables, Shafts & Winders multi-table layouts, and N3 structures. It detects layout type automatically, extracts all five HEAL categories from each format, and validates content to ensure accurate data capture regardless of presentation design.

Extract HEAL text from each site's weekly PowerPoint (specify site and week), then combine the formatted text outputs into a single consolidated report. The standardized bullet-point format ensures consistent structure across all extracted files for seamless integration.

Extracted HEAL content is output as UTF-8 encoded text files with standardized bullet-point formatting. This ensures compatibility with reporting tools and eliminates encoding issues when consolidating data from multiple PowerPoint sources.

Yes. The Skill uses python-pptx as its core dependency for parsing PowerPoint files. It applies this library to detect HEAL table layouts, extract structured content, and validate results, making it compatible with other python-pptx-based automation workflows.