__UNIT_NAME__

Create structured SKILL.md templates for reusable AI agent skills.

1|Updated Jun 25, 2026
One-click install
npx skills add https://github.com/vhqtvn/vh-agent-harness --skill unit-name
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: __UNIT_NAME__
Source: https://github.com/vhqtvn/vh-agent-harness/tree/main/templates/overlay-skeleton
Command: npx skills add https://github.com/vhqtvn/vh-agent-harness --skill unit-name

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill template helps developers create consistent, discoverable AI agent workflows by providing a structured starting point for custom skills in an agent harness environment.

Core Features & Use Cases

  • Skill Scaffolding: Provides a ready-to-edit SKILL.md structure with metadata and workflow instruction sections.
  • Agent Integration: Defines how custom skills are rendered into an AI coding agent configuration and discovered automatically.
  • Use Case: Create a new specialized agent capability by adapting this template with task-specific instructions, compatibility settings, and workflow guidance.

Quick Start

Use the skill template to create a new agent skill with custom instructions for your project workflow.

Frequently Asked Questions about __UNIT_NAME__

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

FAQPage Schema
How do I create reusable AI agent skills for a coding workflow?▼

To create reusable AI agent skills, you need a structured SKILL.md template containing frontmatter metadata and workflow instructions that integrate with the agent runtime configuration. This provides a ready-to-edit scaffolding structure for defining custom capabilities.

What is the best way to define custom agent capabilities in an OpenCode harness?▼

Defining custom agent capabilities in an OpenCode harness requires writing a SKILL.md file with specific frontmatter metadata and task-specific instructions. This structure ensures the skills are automatically discovered and rendered into the AI coding agent configuration.

How does skill discovery work in a repository-based harness system?▼

Skill discovery in a repository-based harness system works by rendering custom SKILL.md files into the agent runtime configuration. The structured metadata and workflow instructions allow the harness to automatically find and apply project-specific automation guidance.

Can I use this skill template for project-specific automation guidance?▼

Yes, you can use this skill template for project-specific automation guidance by adapting the provided SKILL.md structure with your custom task instructions and compatibility settings. It serves as a consistent starting point for specialized agent workflows.

Do I need dependencies to scaffold a new AI agent workflow?▼

No dependencies are required to scaffold a new AI agent workflow using this template. You simply adapt the ready-to-edit SKILL.md structure with your own task-specific instructions to create a discoverable agent skill.

What format is required for creating reusable agent workflow extensions?▼

Creating reusable agent workflow extensions requires the SKILL.md format, which must include frontmatter metadata and specific workflow instruction sections. This structured template ensures consistent discovery within the agent harness environment.