The Gap Documentation skill introduces the GAP-NOTE.md pattern to transform empty or incomplete directories into actionable instructions for both human curators and AI agents. By providing a structured template to define expected content, acquisition strategies, and priority levels, it enables automated completeness reporting and streamlined parallel collection workflows. This skill is essential for large-scale media archiving, research projects, and structured data collection where maintaining a clear audit trail of 'not yet collected' versus 'intentionally excluded' content is critical.
主な機能
01Standardized GAP-NOTE.md templates for tracking missing assets
02Structured acquisition strategy mapping for automated retrieval
03Priority-based resource allocation scoring (High, Medium, Low)
04Automated archive completeness and progress reporting scripts
05Parallel agent workflow support with gap-claiming mechanics
06146 GitHub stars
ユースケース
01Managing datasets for machine learning where specific samples are still being gathered
02Large-scale media archive curation requiring systematic progress tracking
03Coordinating multi-agent AI workflows for web scraping and data ingestion