__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.