Maps non-linear connections across files and projects to reveal hidden patterns and recover lost context.
This skill surfaces networked relationships across your workspace by treating conceptual and temporal proximity as independent dimensions. Designed to support neurodivergent pattern recognition, it scans everything from code comments and terminal history to abandoned drafts, presenting findings as resonance clusters rather than rigid hierarchies. It is particularly effective for developers working across multiple domains who need to synthesize scattered thoughts or reconstruct context from weak signals and fragments.
Características Principales
01Fragment-based context recovery from partial thoughts or phrases
02Multi-source scanning including terminal history and curiosity signals
030 GitHub stars
04Independent temporal and conceptual proximity analysis
05Non-linear pattern mapping across files and domains
06Resonance-based output that avoids forced hierarchies
Casos de Uso
01Recovering mental context from old notes or abandoned work threads
02Synthesizing connections across multiple seemingly unrelated projects
03Visualizing conceptual patterns and recurring metaphors in large codebases
