model-detection

What problem does it solves? This Skill automatically identifies the underlying LLM model (e.g., Claude Sonnet, GLM-4.6) and assesses its capabilities. This allows the Autonomous Agent Plugin to adapt its execution, skill loading, and communication strategies for optimal performance and compatibility, maximizing efficiency.

Core Features & Use Cases:

• Universal Model Detection: Uses system context analysis, performance pattern recognition, and capability assessment to accurately identify the active LLM.
• Model-Specific Configurations: Provides tailored configurations for different models, including reasoning style, context management, and error handling.
• Adaptive Execution Strategies: Adapts skill loading (progressive vs. complete), communication style (natural vs. structured), and error recovery based on the detected model.
• Capability Testing Functions: Includes tests for nuanced reasoning and structured execution to verify model characteristics.
• Use Case: Upon initialization, this skill detects the active LLM (e.g., Claude Haiku 4.5) and automatically configures the agent to use a concise communication style and efficient skill loading, optimizing for speed and resource use.

Quick Start: Explain the "Primary Detection Methods" used to identify an LLM model, including system context analysis and performance pattern recognition.