opencode

Orchestrate OpenCode agents to implement, review, and test Claude Code skills.

15|1|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/maystudios/claude-skills --skill opencode-maystudios
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opencode
Source: https://github.com/maystudios/claude-skills/tree/main/opencode
Command: npx skills add https://github.com/maystudios/claude-skills --skill opencode-maystudios

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Coordinates multi-model code tasks by enabling OpenCode agents to implement, review, and test Claude Code skills in a production-like workflow.

Core Features & Use Cases

  • Protocol-driven implementation and review cycles using OpenCode.
  • Built-in test harness, scoring, and logging for repeatable quality.
  • Supports background execution, session continuation, and cross-model validation for IDE-like projects (e.g., Unreal Engine GAS).

Quick Start

Run the skill to orchestrate OpenCode-assisted design, review, and testing tasks for Claude Code projects.

Frequently Asked Questions about opencode

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

FAQPage Schema
How do I automate multi-model code review and testing pipelines?

Multi-model code review is automated by delegating implementation, cross-model review, and testing tasks to OpenCode sub-agents. It coordinates automated evaluation and production-grade iteration using protocol-driven cycles with built-in scoring and logging.

What is a multi-model implementation and review cycle for code tasks?

A multi-model implementation cycle uses AI agents to write code, then hands off to different models for cross-model review and rigorous scoring. It captures model fallback behaviors and logs results to ensure repeatable quality and safety.

Can I use automated testing and code review for Unreal Engine GAS projects?

Automated testing and code review for Unreal Engine GAS projects is supported through OpenCode sub-agents. It applies protocol-driven implementation, cross-model validation, and background execution to IDE-like project workflows.

How do I set up a test harness with rigorous scoring for AI-assisted code debugging?

A test harness with rigorous scoring for AI-assisted code debugging is set up by running the skill to orchestrate OpenCode-assisted tasks. It captures test results logging, applies cross-model reviews, and ensures repeatable quality during architecture analysis.

Does OpenCode sub-agent orchestration support background execution and session continuation?

OpenCode sub-agent orchestration supports background execution and session continuation for long-running code tasks. It enables continuous protocol-driven implementation and automated evaluation across complex multi-model pipelines.

What are the limitations of using OpenCode agents for production-grade code iteration?

Limitations of using OpenCode agents for production-grade code iteration include dependency on model fallback configurations and the need for a dedicated test harness. Complex architecture analysis and cross-model validation require rigorous scoring to maintain safety.