openclaw-optimizer

Optimize OpenClaw deployments for performance, memory usage, and latency.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/Shadojin94/zetamind-app --skill openclaw-optimizer-shadojin94
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openclaw-optimizer
Source: https://github.com/Shadojin94/zetamind-app/tree/main/skills/openclaw-optimizer
Command: npx skills add https://github.com/Shadojin94/zetamind-app --skill openclaw-optimizer-shadojin94

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenClaw deployments frequently struggle with high memory usage and latency, impacting responsiveness and throughput. This skill provides a structured approach to diagnose, tune, and sustain OpenClaw systems for predictable performance.

Core Features & Use Cases

  • Environment discovery and configuration validation for OpenClaw setups.
  • Memory optimization and boot-time improvements to reduce startup time.
  • Latency tuning for Qdrant and embeddings with practical guidance for production workloads.
  • Use cases include weekly maintenance, scale-out deployments, and troubleshooting performance degradation.

Quick Start

Run the optimizer to discover the environment, enable memorySearch, and apply boot and latency optimizations.

Frequently Asked Questions about openclaw-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce high memory usage in my OpenClaw deployment?

Reduce OpenClaw memory usage by applying memory management configurations and enabling memorySearch. This optimizer performs environment discovery and boot-time tuning to sustain predictable performance and lower memory consumption.

What is the best way to tune Qdrant latency for OpenClaw embeddings?

Tune Qdrant latency for OpenClaw embeddings by applying specific latency tuning and embedding acceleration configurations. This optimizer provides practical guidance for improving vector database responsiveness in production workloads.

Can I use OpenClaw performance optimization for on-prem clusters and VPS installations?

Yes, OpenClaw performance optimization applies to both VPS-backed installations and on-prem clusters. The optimizer validates your environment setup and applies configuration tuning regardless of your deployment infrastructure.

How do I troubleshoot OpenClaw performance degradation during scale-out deployments?

Troubleshoot OpenClaw performance degradation during scale-out deployments by running environment discovery and configuration validation. This identifies memory bottlenecks and latency issues, applying boot session optimizations to restore responsiveness.

Does OpenClaw optimization require periodic cleanup for sustained performance?

Yes, OpenClaw optimization requires periodic cleanup to sustain performance and reliability over time. The optimizer implements scheduled maintenance scripts that manage memory usage and maintain vector database efficiency.