| name | memento-prune |
| description | Use when the user wants to remove low-value learned skills, clean up unused skills, or reduce the learned skill library size |
Memento Prune
Remove learned skills that are no longer useful. Never auto-deletes — always confirms with user.
Protocol
1. Identify Candidates
Read metrics.json (global and project). Flag skills matching ANY:
utility < utility_threshold AND usage_count >= min_samples_for_judgment (proven low value)last_used older than prune_after_days_unused days from today (abandoned)
2. Present Candidates
Show each candidate with reasoning:
Prune candidates:
1. learned-bad-pattern (global)
Utility: 0.20 (1/5) — below threshold 0.40
Last used: 2026-01-15 — 69 days ago
Reason: low utility + unused
2. learned-old-approach (project)
Utility: — (0/0) — never used
Last used: 2026-01-20 — 64 days ago
Reason: abandoned (never used, 64 days old)
3. User Confirms Each
Ask: "Delete these skills? You can choose individually (e.g., 'just 1') or all."
For each confirmed deletion:
- Remove the
learned-{name}/ skill directory
- Remove the entry from metrics.json
- Announce what was removed
4. Never Auto-Delete
Even if called programmatically, always show the list and wait for confirmation.
