Codex Skill for insight-agent

Codebase navigation for insight-agent starts by reading the README.md, schema definitions, and core runner logic to understand project structure and rapidly ramp up your development workflow.

The canonical CLI entry point for insight-agent is executed via `python -m insight_core.cli run -i examples/sample_request.json`, allowing you to test core functionality and interact with the project consistently.

Yes, familiarity with Python and command-line interfaces is required to effectively use the insight-agent CLI, understand its core runner logic, and interact with the project's API entry points.

Core design principles for insight-agent outline the development philosophy guiding code changes and feature development, ensuring consistent project interaction when contributing to the repository.

To test insight-agent core functionality with a sample request, run `python -m insight_core.cli run -i examples/sample_request.json` in your command line to verify the core runner logic works as expected.

Critical files for understanding insight-agent project structure include the README.md, schema definitions, and core runner logic, which provide entry point clarity and facilitate rapid developer onboarding.