trellis-check

Run spec compliance, linting, type-checking, and testing checks on codebases.

Updated Jun 14, 2026
One-click install
npx skills add https://github.com/Kcalb0708/AI-Voice-to-Image-Tool --skill trellis-check-kcalb0708
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trellis-check
Source: https://github.com/Kcalb0708/AI-Voice-to-Image-Tool/tree/main/.cursor/skills/trellis-check
Command: npx skills add https://github.com/Kcalb0708/AI-Voice-to-Image-Tool --skill trellis-check-kcalb0708

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Skill addresses the issue of maintaining high code quality in software development through rigorous checks, preventing common pitfalls like compliance issues, bugs, and maintainability problems.

Core Features & Use Cases

  • Comprehensive Quality Verification: Checks for spec compliance, linting, type-checking, and tests to ensure code quality.
  • Cross-Layer Data Flow: Ensures data flows correctly between layers of the application.
  • Code Reuse: Checks for efficient use of code reuse to avoid duplication and enhance maintainability.
  • Consistency Checks: Validates consistency across different parts of the codebase.
  • Use Case: Ideal for developers when code is ready to be committed, or to prevent context drift over long coding sessions.

Quick Start

Run the skill to perform a comprehensive code quality check after making changes to your codebase.

Frequently Asked Questions about trellis-check

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

FAQPage Schema
How do I check spec compliance and linting before committing code?

Comprehensive code quality assurance prevents context drift over long coding sessions by validating spec compliance, cross-layer data flow, and code reuse consistency, ensuring maintainability when developers are ready to commit.

How do I ensure cross-layer data flow integrity in my codebase?

Cross-layer data flow integrity is verified by running comprehensive quality checks that validate consistency across different parts of the codebase, ensuring data moves correctly between application layers.

What is the best way to automate code quality assurance for spec compliance?

The best way to automate code quality assurance is running a comprehensive check that simultaneously validates spec compliance, linting, type-checking, and tests to prevent maintainability problems and bugs.

Does code quality checking work without external dependencies?

Code quality checking requires no external dependencies, utilizing built-in scripts to perform spec compliance, linting, type checking, and consistency validation directly on the codebase.

How do I check for code reuse and duplication in my project?

Code reuse and duplication are checked by running a comprehensive quality verification that evaluates efficient use of code reuse to enhance maintainability and ensure consistency across the codebase.

Why should I run a consistency check across different parts of my codebase?

Consistency checks should be run to prevent common pitfalls like compliance issues and bugs, validating that data flows correctly and code reuse remains efficient across different application layers.