OpenClaw Workspace

Audit OpenClaw workspaces and suggest improvements for SOUL, AGENTS, TOOLS, USER, MEMORY, and skills.

10|2|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/dglijin-oss/chinese-metaphysics-skills --skill openclaw-workspace-dglijin-oss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: OpenClaw Workspace
Source: https://github.com/dglijin-oss/chinese-metaphysics-skills/tree/main/openclaw-workspace
Command: npx skills add https://github.com/dglijin-oss/chinese-metaphysics-skills --skill openclaw-workspace-dglijin-oss

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The OpenClaw Workspace Skill addresses the need for improved organization, proactive behavior, and efficient use of skills within the OpenClaw platform.

Core Features & Use Cases

  • Workspace Analysis: Audits and improves OpenClaw workspaces across various layers, including SOUL, AGENTS, TOOLS, USER, MEMORY, and skills.
  • Proactive Behavior Tuning: Enhances the agent's proactivity, sharpness, and organization based on user requirements.
  • Recall Improvement: Enhances the agent's recall capabilities for better workflow fit.
  • Use Case: Ideal for users who want to analyze and optimize their workspace for improved performance, or when they seek to change soul, agent behavior, memory, tools, or skills based on past conversations.

Quick Start

Analyze your OpenClaw workspace with the OpenClaw Workspace Skill to enhance your agent's behavior and performance.

Frequently Asked Questions about OpenClaw Workspace

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

FAQPage Schema
How do I optimize my agent workspace for better proactive behavior and recall?

To optimize your agent workspace for proactive behavior and recall, you can audit and tune the SOUL, AGENTS, TOOLS, USER, MEMORY, and skills layers. This enhances the agent's proactivity, sharpness, organization, and workflow fit.

What is persona tuning in an AI agent workspace?

Persona tuning in an AI agent workspace is the process of auditing and adjusting the SOUL and AGENTS configurations to enhance the agent's proactivity, sharpness, and organization based on your specific requirements.

How can I improve my agent's memory and recall based on past conversations?

You can improve your agent's memory and recall by analyzing the MEMORY layer of your workspace and suggesting improvements. This enhances the agent's ability to recall past interactions for a better workflow fit.

Do I need Python to analyze and improve my OpenClaw workspace?

Yes, you need Python installed to analyze and improve your OpenClaw workspace. The auditing and tuning process for SOUL, AGENTS, TOOLS, USER, MEMORY, and skills requires Python for script execution on supported operating systems.

When should I audit my AI agent's tools and skills configuration?

You should audit your AI agent's tools and skills configuration when you want to improve workspace performance, or when you need to change soul, agent behavior, memory, tools, or skills based on past conversations.

What is the best way to change agent behavior and soul configurations in OpenClaw?

The best way to change agent behavior and soul configurations is by using a workspace analysis tool to audit and improve the SOUL and AGENTS layers. This optimizes proactive behavior, recall, and overall workflow fit.