Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Automated maintenance for OpenClaw environments covering disk usage monitoring, temp file cleanup, and memory deduplication. Dense notes are distilled into core insights through a memory metabolism process. Every cycle is logged to MEMORY/DECISIONS/ for auditability.
Combines disk monitoring, cleanup, and memory distillation into a single automated cycle instead of managing separate scripts for each concern.
When to use it
- Clearing old temp files after heavy agent workloads
- Monitoring disk pressure before starting large tasks
- Deduplicating fragmented memory entries in Kim Assistant
- Condensing verbose notes into concise summaries
- Auditing past maintenance cycles via decision logs
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Run full maintenance on the OpenClaw environment
- 1Check disk usage against configured threshold and flag warnings
- 2Scan TEMP_DIRS for files older than configured days and remove them
- 3Deduplicate memory fragments in the memory store
- 4Summarize dense notes into core insights via resource distillation
- 5Log the maintenance cycle to MEMORY/DECISIONS/ with timestamp and actions taken
Clean environment with deduplicated, distilled memory and a new decision log entry for the cycle