Individual skill
bulk-maintenance
Plan, dry-run, apply, verify, roll back, and resume explicit bounded batches for Blueprint interface migration, metadata hygiene, asset naming/organization, and unused-asset cleanup preparation.
Content/Skills/bulk-maintenance/SKILL.md
Source commit b0c1bfeac7acc36b37714c5871f1c6af3bd97184
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 826
- Repository last updated
- Nov 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- gamedev Repository topic
- mcp Repository topic
- mcp-server Repository topic
- ue5 Repository topic
- unreal-engine Repository topic
- vibe-coding Repository topic
- ai-tools Repository topic
- automation Repository topic
- blueprint Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# Safe Bulk Maintenance
Use `unreal.WorkflowService.run_bulk_maintenance(plan_json, apply, batch_size, stop_on_error)` for an
explicit target list. It is dry-run-first, path-scoped, bounded to 100 targets per GC batch, returns
one result per target, rolls back a failed apply operation, and writes a resumable report under
`Saved/VibeUE/Bulk`.
Rules:
1. Discover candidates, but pass the final explicit `targets` array yourself. Never turn a search
result directly into deletion.
2. Call once with `apply=False`, inspect every `would-change`/refusal, then repeat the exact plan with
`apply=True` and the same `resume_id`.
3. Set `path_scope` so a malformed target cannot escape the intended content folder.