Claude Skill for insight-agent

The Insight Agent architecture is explained through its problem-solving approach, input normalization to InsightRequest, canonical run() entry point, and output schema, detailing key areas for code modification.

The Insight Agent execution flow normalizes inputs into an InsightRequest object, processes it through the canonical run() entry point, and returns results following a structured output schema.

You should modify input handling and CLI behavior in the specific files and directories identified by the developer guide, which outlines principles for making code changes to configuration and execution logic.

Yes, an AI assistant can use this guide to integrate new features by leveraging the provided context on input handling, output formatting, and execution logic to make modifications efficiently.

When making code changes to the Insight Agent, follow the outlined design principles that target specific areas for modification including input handling, configuration, CLI behavior, output formatting, and execution logic.