Configure AI employees with data sources, UI blocks, and predefined skills.
npx skills add https://github.com/nocobase/nocobase --skill ai-employees
Please help me install this Agent Skill. Skill: AI Employees Source: https://github.com/nocobase/nocobase/tree/main/docs/docs/vi/ai-employees/advanced Command: npx skills add https://github.com/nocobase/nocobase --skill ai-employees
This Skill allows users to enhance AI employees by providing them with specific data sources, application context (blocks), and a defined set of skills, enabling more intelligent and context-aware AI interactions.
Configure a new data source for your AI employee by navigating to the AI employee settings and selecting the 'Data source' tab.
High-intent search queries and answers about installing and using this skill.
To configure data sources for AI employees, navigate to the AI employee settings and select the 'Data source' tab to connect specific data collections. This enables informed, context-aware responses based on your business data.
Yes, you can use UI block context to make AI responses more relevant by allowing AI employees to reference specific application blocks. This ensures the AI accesses the correct contextual information for dynamic task execution.
Integrating predefined skills enhances AI agent capabilities by equipping them with functional toolsets like form filling, data modeling, and web search. This allows the AI to perform custom tasks and execute complex workflows autonomously.
The best way to manage custom tasks for AI assistants is to define them linked to specific pages or blocks. This facilitates streamlined workflows and supports dynamic task execution within your business applications.
Yes, you need external data connections to build a context-aware AI assistant. Integrating external data sources and application context allows the AI to reference specific records and generate accurate summaries for complex queries.
A modular skill system for AI context management works by allowing customization of the AI's knowledge base and functional toolset through predefined skills. This supports dynamic task execution and context-aware responses.
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