What problem does it solve? Configuring Frontline agents requires valid AI model IDs, but guessing IDs or using the wrong model type causes failed updates. This Skill shows how to discover available models and pick the correct IDs before updating agent settings. ## Core Features & Use Cases - Model Discovery: List available TEXT, TRANSCRIPTION, and FILE_ANALYSIS models from the Frontline CLI. - Model Inspection: Describe a specific model or fetch the default model for a given type. - Safe Agent Configuration: Update agent settings with validated aiModelId values, since frontline agents agent-setting update preflights model and tool references before sending. - Use Case: Before setting an agent's instructions and temperature, run frontline ai-models list --type TEXT to find a valid text model ID, then pass it to the agent-setting update command. ## Quick Start Ask the AI to list the available Frontline text models and update an agent's settings with a valid model ID.