memory_landscape_review
# Memory Landscape Review
Use this skill to review project memory, local memory, and auto-memory together.
## Workflow
1. Gather repo memory files and current auto-memory context.
2. Classify each entry as repo-wide, personal, team-wide, or temporary.
3. Detect duplicates, conflicts, and outdated instructions.
4. Present a grouped report before making any changes.
5. Only apply promotions or cleanup after explicit approval.
## Guardrails
- Propose first, edit second.
- Do not guess when an instruction might be personal vs shared.
- Keep transient notes out of durable memory files.
## Example Requests
- Review my auto-memory and tell me what belongs in durable memory.
- Find duplicate or conflicting instructions across memory layers.
## Inputs
- Repo memory files
- Auto-memory state
- User preference for shared vs local memory
## Outputs
- Promotion proposals
- Conflict cleanup report
- No-change recommendations
## Success Criteria
- Durable memory candidates are identified clearly.
- Duplicates and stale entries are surfaced.
- No edits happen before approval.
## Non-Goals
- Silently editing memory files
- Guessing personal vs shared intent when ambiguous
## Source Provenance
Derived from `src/skills/bundled/remember.ts`.
标签
skill
ai