ai-employee-skill

What This Skill Does

The AI Employee Skill is a comprehensive multi-agent orchestration framework designed for OpenClaw. It transforms your workspace into a structured virtual company where AI agents act as specialized employees. By defining unique personas like "Boss AI," "Product AI," or "Tech AI," you delegate the cognitive heavy lifting of project management, task breakdown, and status updates to a decentralized network of autonomous agents. The skill excels at maintaining context across long-running projects, ensuring that tasks flow seamlessly from conception to delivery.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/gdp6539/ai-employee-skill Once installed, navigate to the ai-employee-skill directory and run npm install to resolve dependencies. Customize your workforce by editing the config/employees.json file to define your team's composition before launching the system with npm start.

Use Cases

• Startup Operations: Ideal for solo founders who need to emulate a full product and engineering team to manage simultaneous tasks.
• Content Production: Automate the entire lifecycle of content marketing, from ideation (Product AI) to drafting (Technical/Writer AI) and scheduling (Operations AI).
• Project Management: Utilize the internal status tracking to monitor progress across large-scale technical projects without manually checking individual ticket status.
• Software Development: Use the Technical and Testing AI agents to automate the dev-to-QA loop, reducing manual quality assurance time.

Example Prompts

1. "/hire 技术AI" (Hire a Technical AI to assist with current codebase refactoring.)
2. "/assign 负责编写新功能的API文档，并由产品AI进行审核" (Delegate API documentation task with a cross-role verification workflow.)
3. "/report 日报" (Generate a consolidated daily report summarizing the tasks completed by all active agents.)

Tips & Limitations

To get the most out of your AI workforce, define clear roles in config/employees.json. Each agent performs best when its skills list is tightly scoped to its function. Please note that while the system supports long-term memory via the internal storage module, excessively large task histories may increase latency. Ensure your API keys are configured securely within the system settings to enable external communication features.