The Gap Documentation skill implements a systematic 'GAP-NOTE' methodology to eliminate ambiguity in media directories by transforming empty folders into actionable acquisition tasks. It provides a standardized framework for documenting missing content, defining acquisition strategies, and assigning priorities. This approach enables both human curators and AI agents to work in parallel toward archive completeness, turning missing data from a void into a measurable project roadmap.
主な機能
01Lifecycle management for transitioning gaps into completed catalogs
02146 GitHub stars
03Automated archive completeness measurement and progress reporting scripts
04Parallel gap-filling patterns for multi-agent coordination
05Standardized GAP-NOTE.md template generation for directory placeholders
06Priority-based acquisition scoring (High, Medium, Low) for resource allocation
ユースケース
01Auditing complex directory structures to identify and prioritize missing metadata
02Organizing large-scale digital music, video, or document archives
03Coordinating multiple AI agents to scrape or download missing dataset components