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Install in OpenClaw
/install claude-code-memory-landscape-review
Description
Use when the user wants to review auto-memory, promote durable instructions into CLAUDE.md or local memory, and clean up duplicates or conflicts.
README (SKILL.md)
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- Detect duplicates, conflicts, and outdated instructions.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.
Usage Guidance
This skill appears coherent and low-risk: it only proposes changes to memory layers and promises no edits without approval. Before installing, confirm (1) your agent runtime only exposes the memory files you expect it to read, (2) you will review and approve any promotions/edits (do not grant blind write permissions), and (3) you keep backups of durable memory files in case you want to revert changes. If you need higher assurance, ask for a transcript of proposed changes before any writes are applied.
Capability Analysis
Type: OpenClaw Skill
Name: claude-code-memory-landscape-review
Version: 1.0.0
The skill bundle is designed to help users manage and organize AI agent memory layers (e.g., CLAUDE.md and local memory files). The instructions in SKILL.md and agents/openai.yaml focus on auditing, deduplication, and promotion of instructions with explicit guardrails requiring user approval before any modifications are made. No malicious code, data exfiltration logic, or suspicious execution patterns were found.
Capability Assessment
Purpose & Capability
The name/description match the runtime instructions: the skill is explicitly about auditing repo memory, local memory, and auto-memory and proposing promotions/cleanup. It does not request unrelated credentials, binaries, or config paths.
Instruction Scope
SKILL.md stays within the stated purpose: gather memory entries, classify, detect duplicates/conflicts, propose grouped reports, and only apply changes after explicit approval. It does not instruct the agent to read unrelated system files, exfiltrate data, or call external endpoints.
Install Mechanism
Instruction-only skill with no install spec and no code files to write or execute; therefore no installation risk or external downloads.
Credentials
No environment variables, credentials, or config paths are required. The inputs (repo memory files, auto-memory state, user preference) are directly relevant to the skill's function.
Persistence & Privilege
always:false and no config-modifying install behavior. The skill can be invoked autonomously (platform default), but it does not request permanent presence or elevated privileges and explicitly requires approval before edits.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install claude-code-memory-landscape-review - After installation, invoke the skill by name or use
/claude-code-memory-landscape-review - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial extraction from local Claude Code source
Metadata
Frequently Asked Questions
What is 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. It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.
How do I install Memory Landscape Review?
Run "/install claude-code-memory-landscape-review" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Memory Landscape Review free?
Yes, Memory Landscape Review is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Memory Landscape Review support?
Memory Landscape Review is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Memory Landscape Review?
It is built and maintained by wimi321 (@wimi321); the current version is v1.0.0.
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