Standardizes project-based file management and rule-loading workflows for AI-driven knowledge bases.
This skill provides a structured framework for managing complex knowledge bases by organizing files into project-specific directories and implementing a centralized project memory system. It ensures that Claude proactively loads relevant context and rules when performing archival or organizational tasks, preventing directory clutter and ensuring consistency across diverse domains like programming, planning, and specialized research. By using a mandatory rule-loading workflow, it overcomes the limitations of automatic file-matching to ensure the AI always operates with the correct project metadata.
Key Features
01Automated inbox archival workflow with project attribution
02Threshold-based subdirectory management to prevent file clutter
03Standardized directory structure across multiple domain categories
04Project Memory System for persistent metadata and keyword mapping
05Proactive rule-loading mechanism for context-aware task execution
060 GitHub stars
Use Cases
01Automating the weekly review and archival process of an information inbox
02Managing complex cross-disciplinary knowledge bases with consistent rules
03Organizing unstructured notes and research into project-specific directories
