XSky Core Architecture

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Delivers deep technical insights into the XSky AI Agent framework, enabling developers to master the orchestration of complex agentic workflows. It covers the complete execution lifecycle, from converting natural language tasks into structured Workflow XML via the Planner to managing persistent state with the Context and Chain classes. This skill is essential for understanding how XSky coordinates multiple agents, handles task dependencies, and manages execution tracking, making it a vital resource for anyone extending the framework or debugging production-grade agent behaviors.

Características Principales

• Detailed specifications for core framework classes like Chain, Context, and Planner
• State management and variable tracking for complex multi-step workflows
• Guidance on Workflow XML planning and automated task decomposition
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• Deep architectural knowledge of the XSky orchestrator and execution flow
• Implementation patterns for custom agents using specialized base classes

Casos de Uso

• Understanding the transition from natural language tasks to executable agent workflows
• Developing custom agents for browser, file, or shell operations using core base classes
• Debugging task execution states and variable management within the XSky framework