Memory Landscape Review
Use this skill to review project memory, local memory, and auto-memory together.
Workflow
- Gather repo memory files and current auto-memory context.
- Classify each entry as repo-wide, personal, team-wide, or temporary.
- Detect duplicates, conflicts, and outdated instructions.
- Present a grouped report before making any changes.
- 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.