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trellis-meta

Document Trellis workflow architecture, hooks, pipelines, and spec injection.

8|19|Updated Apr 3, 2026
Search Tags:#automation#workflow#architecture#hooks#claude-code#trellis
One-click install
npx skills add https://github.com/mindfold-ai/marketplace --skill trellis-meta-mindfold-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trellis-meta
Source: https://github.com/mindfold-ai/marketplace/tree/main/skills/trellis-meta
Command: npx skills add https://github.com/mindfold-ai/marketplace --skill trellis-meta-mindfold-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides the authoritative documentation for the Trellis system, preventing configuration drift and ensuring consistent AI-assisted development across multiple coding platforms.

Core Features & Use Cases

  • System Architecture: Documents the complete Trellis lifecycle, including hooks, sub-agent pipelines, and spec injection.
  • Platform Portability: Provides a compatibility matrix for 11 different AI coding platforms, ensuring your workflows remain portable.
  • Customization Protocol: Defines the standard for project-specific modifications via the trellis-local skill, keeping your base system clean and upgradeable.

Quick Start

Use the trellis-meta skill to explain the current task lifecycle hooks and how to properly configure a new project-local customization skill.

Frequently Asked Questions about trellis-meta

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

FAQPage Schema
How do I configure AI coding workflow hooks for multi-agent pipelines?▼

AI coding workflow hooks for multi-agent pipelines are configured using the documented Trellis lifecycle architecture, which defines sub-agent pipelines and spec injection mechanisms to ensure consistent AI-assisted development.

What is spec injection in AI development workflows?▼

Spec injection is a mechanism within the Trellis architecture that inserts project specifications directly into multi-agent pipelines to ensure the AI coding workflow adheres to defined system design protocols.

Does the Trellis workflow system support multiple AI coding platforms?▼

Yes, the Trellis workflow system supports 11 different AI coding platforms by providing a compatibility matrix that ensures multi-agent pipelines and development workflows remain portable.

How do I customize an AI coding workflow without causing configuration drift?▼

To customize an AI coding workflow without causing configuration drift, apply the trellis-local customization protocol, which defines project-specific modifications while keeping the base system clean and upgradeable.

Why does my AI coding configuration drift across different development environments?▼

Configuration drift occurs due to a lack of centralized authoritative documentation for system design, which the Trellis architecture prevents by providing a compatibility matrix across 11 AI coding platforms.

When should I not modify the base AI workflow architecture?▼

You should not modify the base AI workflow architecture for project-specific adaptations; instead, use the defined customization protocol via trellis-local to keep the base system clean and upgradeable.

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