en un clic
cleanup
Clean up old workflow state directories to free disk space
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Clean up old workflow state directories to free disk space
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Generate a PRD for a feature using Memory Bank context
Generate a technical specification based on a PRD using Memory Bank context
Run Memory Bank doc gardening (maintenance / garbage collection)
"Process and implement tasks from a protocol in git worktrees (or inline on the main workdir)"
Update Memory Bank documentation after code changes or protocol completion
Defer an out-of-scope finding to the backlog. Use when a bug, tech debt, idea, or risk is discovered but not appropriate to solve now.
| name | cleanup |
| description | Clean up old workflow state directories to free disk space |
| version | 1.0.0 |
Remove old .workflow-state/ run directories to free disk space.
Call mcp__plugin_memento-workflow_memento-workflow__cleanup_runs with:
cwd: project directory (defaults to .)before: remove runs started before this date (ISO 8601 or YYYY-MM-DD)status_filter: only remove runs with this status (completed, running, error)keep: keep the N most recent matching runs (default: 0)dry_run: preview what would be deleted without deletingremove_all: remove ALL runs (ignores other filters)| Goal | Parameters |
|---|---|
| Remove all completed runs older than a week | before: "2026-03-07", status_filter: "completed" |
| Remove everything, keep last 5 | remove_all: true, keep: 5 |
| Preview cleanup | remove_all: true, dry_run: true |
| Remove orphaned/stuck runs | status_filter: "running" |
cd memento-workflow
python -m scripts.cleanup --before 2026-03-01
python -m scripts.cleanup --status completed --keep 5
python -m scripts.cleanup --all --dry-run