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 Detect duplicates, conflicts, and outdated instructions.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.