trellis-meta

Name: trellis-meta
Availability: InStock
Author: Kcalb

Modify local Trellis architecture files and platform directories.

Updated Jun 14, 2026

Search Tags:#platform integration #agent configuration #skill routing #trellis #architecture customization

Ready to run

npx skills add https://github.com/Kcalb0708/AI-Voice-to-Image-Tool --skill trellis-meta-kcalb0708

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trellis-meta
Source: https://github.com/Kcalb0708/AI-Voice-to-Image-Tool/tree/main/.cursor/skills/trellis-meta
Command: npx skills add https://github.com/Kcalb0708/AI-Voice-to-Image-Tool --skill trellis-meta-kcalb0708

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires trellis, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables users to customize and modify the Trellis architecture within their project, focusing on the local .trellis/ and platform directories.

Core Features & Use Cases

Local Architecture Customization: Modify .trellis/ files like workflow.md, config.yaml, and spec/ for project-specific configurations.
Platform Integration: Adjust platform-specific directories and files to integrate with various AI tools and platforms.
Agent Configuration: Modify agent files like trellis-research, trellis-implement, and trellis-check for specific behaviors.
Skill Routing: Adjust skill routing and command behavior to fit project needs.

Quick Start

Use the trellis-meta skill to modify the local Trellis workflow by editing .trellis/workflow.md and relevant platform directories.

Frequently Asked Questions about trellis-meta

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I customize the Trellis architecture for a specific project workflow?▼

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.

Can I modify agent configurations to change behaviors in my local setup?▼

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.

What is the best way to integrate AI tools with local platform directories?▼

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.

How do I adjust skill routing to fit my project needs?▼

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.

Do I need to understand Trellis architecture principles before customizing local configurations?▼

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.

Can I edit spec files locally for project-specific configurations in Trellis?▼

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.