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/install 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- Detect duplicates, conflicts, and outdated instructions.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 will analyze your repository memory files and the agent's auto-memory and propose promotions or cleanups but explicitly will not make edits without your approval. Before enabling, confirm that you are comfortable allowing the agent to read the repository memory files and its auto-memory state (these are the only inputs it needs). If you have sensitive personal data in those memories, review or remove it first. No external credentials or installers are requested by this skill.
Capability Analysis
Type: OpenClaw Skill
Name: memory-landscape-review
Version: 1.0.0
The memory-landscape-review skill is a utility designed to help users organize and clean up project memory layers (e.g., CLAUDE.md). The instructions in SKILL.md and agents/openai.yaml focus on auditing, reporting, and seeking explicit user approval before making any changes, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description match the runtime instructions: the skill reviews repo memory files and auto-memory, classifies entries, finds duplicates/conflicts, and proposes promotions to durable memory. Asking for repo memory files and auto-memory state is reasonable for this purpose.
Instruction Scope
SKILL.md limits actions to gathering memory entries, classifying them, reporting, and making changes only after explicit approval. It does not instruct reading unrelated system files, environment variables, or exfiltrating data. Guardrails explicitly forbid silent edits and guessing personal/shared intent.
Install Mechanism
No install spec and no code files to execute; this is an instruction-only skill, which minimizes installation risk.
Credentials
The skill declares no environment variables, no credentials, and no config paths. Its inputs (repo memory files, auto-memory state, user preference) are proportionate to the stated task.
Persistence & Privilege
always:false (normal). The skill can be invoked autonomously (platform default) — not a concern on its own. Note that the agent will need access to the agent's auto-memory and repository memory files at runtime; ensure you are comfortable granting that scope.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install memory-landscape-review - After installation, invoke the skill by name or use
/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 101 downloads so far.
How do I install Memory Landscape Review?
Run "/install 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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