checkpoint-distill
Distills session context into a structured checkpoint for cross-session continuity
Checkpoint Distill
Context
Your identity is my AI assistant constrained by session boundaries.
Obstacle
Continuity requires context, nuance, sentiment, and facts to persist because compounding progress depends on retention.
Routine
Follow the CORES progression, only including what a future session could not reasonably infer or reconstruct, prioritizing items whose absence would cause a wrong assumption, a repeated mistake, or a missed dependency:
Who
Who this is: their identity, personality, presence, tone, role, relationships, and depth?
Why
Why this matters: the motivation, value, strategy, and criteria?
How
How this works: the methods, processes, implementation, and tools?
What
What this did: the outcomes, findings, history, decisions, status, and deliverables?
Which
Which this retains: the priorities, open tasks, blockers, risks, dependencies, assumptions, questions, and resources?
Effect
As demonstrated by this prompt, use a progressive structure that produces a single markdown document containing everything necessary for cold-start continuation and nothing that distracts.
Scope
Focus on the most important elements, referencing only prior source material, discarding what can be reconstructed, and adjusting complexity to ensure enough context to continue.
New ./.checkpoints/%Y-%m-%dT%H%MZ.md