Memory Landscape Review

Use when the user wants to review auto-memory, promote durable instructions into CLAUDE.md or local memory, and clean up duplicates or conflicts.

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 Detect duplicates, conflicts, and outdated instructions.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.