Manages a session-specific state file to preserve critical context and project goals across AI context clears.
The Continuity Ledger skill provides a structured framework for managing long-running AI coding sessions by maintaining a persistent ledger file. Instead of relying on lossy context compaction, users can perform a full context reset and reload the ledger to maintain high-fidelity state, goals, and decisions. This ensures that complex refactors or multi-day tasks remain on track with fresh context and clear priorities without losing the thread of the implementation or suffering from degraded AI performance.
Key Features
01Persistent state preservation that survives context clears and restarts
02Recovery protocols to validate assumptions after a context reset
03Standardized ledger templates for tracking goals, constraints, and decisions
0423 GitHub stars
05Done/Now/Next task prioritization to maintain development focus
06Working set tracking for active files, branches, and test commands
Use Cases
01Managing complex, multi-file refactors that exceed standard context limits
02Preventing AI context degradation by enabling clean resets with full signal
03Preserving progress and state during multi-day development sessions
