trellis-meta

To customize the Trellis architecture for a specific project workflow, you modify local `.trellis/` files like `workflow.md` and `config.yaml`. This allows you to adjust project-specific configurations and tailor the local architecture to your needs.

Yes, you can modify agent configurations to change behaviors in your local setup. You adjust specific agent files like `trellis-research`, `trellis-implement`, and `trellis-check` to customize how agents operate within your project.

The best way to integrate AI tools with local platform directories is by adjusting platform-specific folders and files. This local platform integration ensures your configuration aligns with various external AI platforms.

You adjust skill routing to fit your project needs by modifying the local command behavior and routing configurations. This ensures that skills are directed appropriately according to your specific project workflows.

Yes, you need to understand Trellis architecture and local customization principles before modifying configurations. This prerequisite knowledge ensures you can effectively apply project-specific workflows and agent adjustments.

Yes, you can edit `spec/` files locally for project-specific configurations in Trellis. Modifying these files alongside `config.yaml` allows you to deeply customize the local architecture and workflow.