An expert framework for designing, generating, and iterating on complete OpenClaw agent workspaces with high-fidelity personas and operating rules.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install modesty-agent-builder
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install modesty-agent-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Agent Builder is a comprehensive technical framework designed to streamline the creation of sophisticated AI agents. As a core component of Openclaw Skills, it provides a structured methodology for defining an agent's persona, operational boundaries, and technical configuration. It moves beyond simple prompting by generating a full suite of standardized workspace files that dictate how an agent thinks, communicates, and acts within specific environments.
Whether you are architecting a new digital entity from scratch or refining the autonomy of an existing one, this skill ensures that every agent adheres to high-performance standards. It balances creative persona design with rigorous technical guardrails, ensuring that Openclaw Skills users can deploy agents that are both helpful and safe across various communication surfaces.
To start building with Openclaw Skills, ensure your workspace follows the standard directory structure and run the agent-builder skill:
# Initialize a new agent project
openclaw skill run agent-builder
# Follow the interactive prompts to generate files
# Your SOUL.md and IDENTITY.md will be created in the current directory
The skill organizes agent intelligence into a specific taxonomy of Markdown files:
| File | Purpose |
|---|---|
SOUL.md |
Defines the core persona, tone, and cognitive boundaries. |
IDENTITY.md |
Contains the public-facing profile and biographical data. |
AGENTS.md |
Specifies the operating rules, delegation logic, and memory protocols. |
HEARTBEAT.md |
Outlines the routine tasks and periodic checks for the agent. |
MEMORY.md |
(Optional) Curated long-term storage for session-based learning. |
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