TIKAZI Conversation Checkpoint
Designed, integrated, independently refactored, and continuously maintained by TIKAZ.
Input
Accept a long or repetitive conversation transcript and, when known, the next task or handoff audience. Use this Skill when no authoritative source file already captures the current state.
Workflow
Create a state snapshot with these required sections:
- Goal
- Confirmed Constraints
- Decisions
- Completed
- Remaining
- Evidence
- Open Questions
Preserve the latest user instruction, approvals, rejected directions, file paths, identifiers, numbers, URLs, commands, errors, and objective verification. Separate completed facts from proposed work. Remove conversational repetition only after its surviving decision or constraint is recorded.
Validate the snapshot against the available transcript. Missing protected facts must be restored or listed as omissions. A concise snapshot is not proof that the underlying work succeeded.
Output contract
Return one self-contained Markdown checkpoint containing the seven required sections, the latest user instruction, objective verification state, unresolved conflicts, protected identifiers, and visible omissions. Separate confirmed completion from proposals and agent assumptions.
Validation and fallback
Compare the checkpoint with the transcript using validate-snapshot. Restore missing numbers, paths, URLs, commands, approvals, rejections, or error text. If the transcript is incomplete or contradictory, preserve the conflict instead of choosing silently. Never mark work complete solely because the conversation said it was complete.
Example
Create a recoverable checkpoint from this conversation before handoff. Preserve decisions, rejected directions, completed evidence, file paths, commands, numbers, and open questions.
Run python scripts/tikaz_context.py checkpoint --source <transcript.md> --output <checkpoint.md>. Use validate-snapshot when checking an edited checkpoint against its original transcript.