소개
The contextd workflow skill provides a professional-grade framework for maintaining continuity and reliability during long-running AI development sessions. It introduces sophisticated checkpointing systems with delta compression and hierarchical branching, allowing developers to save state before risky operations or switch between experimental tasks without losing progress. By implementing standardized session start/end protocols and a multi-step error remediation engine, it ensures that every learning is recorded and every bug fix is searchable across the entire organization, effectively solving the problem of context window limitations and ephemeral AI memory.