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openclaw-agent-architect

Create and optimize OpenClaw agent workspace files through guided interviews.

2|Updated Mar 7, 2026
Search Tags:#optimization#agent#configuration#workspace#AGENTS.md#openclaw#SOUL.md
One-click install
npx skills add https://github.com/TheophilusChinomona/claude-openclaw-plugin --skill openclaw-agent-architect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-agent-architect
Source: https://github.com/TheophilusChinomona/claude-openclaw-plugin/tree/main/plugins/openclaw/skills/openclaw-agent-architect
Command: npx skills add https://github.com/TheophilusChinomona/claude-openclaw-plugin --skill openclaw-agent-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation and refinement of OpenClaw agent configurations, ensuring agents are well-defined, efficient, and aligned with user needs.

Core Features & Use Cases

  • Agent Workspace Generation: Guides users through creating essential agent files (SOUL.md, IDENTITY.md, AGENTS.md, MEMORY.md, GOALS.md) via targeted interviews.
  • Workspace Optimization: Audits existing agent configurations for completeness, consistency, and bloat, providing actionable improvement suggestions.
  • Use Case: A user wants to set up a new AI agent for customer support. This Skill will interview them about the agent's personality, communication style, and operational rules, then generate the necessary markdown files to define the agent's SOUL, identity, and behavior.

Quick Start

Use the openclaw-agent-architect skill to create new agent workspace files by answering interview questions.

Frequently Asked Questions about openclaw-agent-architect

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

FAQPage Schema
How do I set up an AI agent workspace with SOUL.md and AGENTS.md files?▼

To set up an AI agent workspace, this tool guides you through targeted interviews about personality and operational rules, then generates essential markdown files like SOUL.md and AGENTS.md to define agent behavior and identity.

What is the best way to optimize existing agent configurations for consistency?▼

Optimizing agent configurations involves scanning existing workspace files to audit for completeness and bloat, providing actionable suggestions to refine your AI agent setup and ensure coherent operational rules.

How does an interview-based agent workspace generation process work?▼

Interview-based agent workspace generation works by asking targeted questions about your agent's communication style and goals, then automatically generating structured markdown files like IDENTITY.md and MEMORY.md to match your specifications.

Can I use this to define personality and operational rules for a customer support agent?▼

Yes, you can use this to define personality and operational rules for a customer support agent by answering interview prompts that translate your requirements into structured SOUL.md and GOALS.md configuration files.

Do I need existing markdown files to audit and optimize my agent workspace?▼

No, you do not need existing markdown files to start, as the tool can generate new workspace configurations from scratch through interviews, but providing existing files allows it to scan and optimize them for bloat and consistency.

Why does my OpenClaw agent configuration have inconsistent behavior?▼

Inconsistent OpenClaw agent behavior often stems from incomplete or bloated configuration files, which can be identified and resolved through a workspace audit that checks for coherence across SOUL.md, AGENTS.md, and GOALS.md.

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