# 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.

- Skill: `wimi321/memory-landscape-review` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add wimi321/memory-landscape-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/wimi321/memory-landscape-review/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: wimi321 (https://skillmd.com/u/wimi321)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/wimi321/memory-landscape-review

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# 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 Detect duplicates, conflicts, and outdated instructions.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`.