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Archive multiple completed changes at once. Use when the user wants to clean up several completed changes.
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Based on SOC occupation classification
| name | openspec-bulk-archive-change |
| description | Archive multiple completed changes at once. Use when the user wants to clean up several completed changes. |
Archive multiple completed changes at once.
When to Use
Steps
List all active changes
python .agents/openspec_kit.py list
Identify completable changes
For each change, check:
python .agents/openspec_kit.py status "<name>"
Filter for:
isComplete: true ORPresent selection to user
Show:
Confirm and archive each
For each selected change:
python .agents/openspec_kit.py archive "<name>"
Show summary
List all archived changes with their new locations.
Guardrails
Implement OpenSpec change using Ralph Loop - parallel specialized agents with fresh context per iteration. Use when user wants faster implementation with domain experts working in parallel, or when the change spans multiple domains (backend, frontend, database).
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.