Field Archivist Memory

About

Field Archivist Memory is a specialized skill designed to solve the problem of context loss between isolated development sessions. By implementing a standardized protocol for archiving and retrieving field session data, it allows Claude to maintain a persistent memory of project states, decisions, and governance requirements. This skill is particularly valuable for complex, multi-stage projects and AI-to-AI governance workflows where maintaining a reliable 'paper trail' of session history is critical for long-term project integrity and efficiency.

Key Features

• Cross-session memory persistence
• Standardized field data archival protocols
• Automated session context retrieval
• AI-to-AI governance logging
• Field session data validation and analysis
• 1 GitHub stars

Use Cases

• Implementing governance logs for automated AI-to-AI interactions.
• Tracking long-term project evolution without manual documentation overhead.
• Maintaining architectural context across multiple days of active development.