A specialized skill for guided creation of new Openclaw agents and their integration into collaborative group environments.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-creator-feishu
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 agent-creator-feishu using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Agent Creator is a core utility within the Openclaw Skills ecosystem designed to streamline the lifecycle of AI agent development. It provides a structured framework for developers to define an agent's identity, persona, and technical capabilities, moving from initial requirements gathering to full deployment in communication platforms like Feishu.
By leveraging standardized templates and the 5W2H methodology, this skill ensures that every agent is built with a clear purpose and robust boundary conditions. It automates the workspace setup and configuration file generation, allowing for hot-loading of new agents without requiring a gateway restart.
To initialize a new agent using Openclaw Skills, follow these CLI steps:
# 1. Create the agent workspace
openclaw agents add <name> --workspace ~/.openclaw/workspace-<name>
# 2. Bind the agent to a Feishu group
openclaw agents bind --agent <name> --bind "feishu:<group_id>"
Ensure that the group ID is added to the allowlist as per the deployment guide.
The skill organizes agent data into a specific file hierarchy within the workspace:
| File | Description |
|---|---|
| IDENTITY.md | Basic metadata: Name, positioning, and emoji representative. |
| SOUL.md | The persona: Tone, style, and behavioral constraints. |
| AGENTS.md | System information and granular permission/access control rules. |
| SKILL.md | Specific functional instructions and capability definitions. |
| config.json | Technical parameters including model selection and thinking process settings. |
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