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arendon1
arendon1COMMUNITY
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test-skill-revised

Package modular skill units with YAML frontmatter and SKILL.md structure.

Updated Feb 12, 2026
Search Tags:#documentation#discovery#agent#modular#yaml-frontmatter#skill-unit
One-click install
npx skills add https://github.com/arendon1/agent-skills --skill test-skill-revised
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: test-skill-revised
Source: https://github.com/arendon1/agent-skills/tree/main/skill-forge/tmp/test-skill-revised
Command: npx skills add https://github.com/arendon1/agent-skills --skill test-skill-revised

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides modular, self-contained skill units to empower AI agents by enabling rapid assembly of capabilities from discrete parts.

Core Features & Use Cases

  • Modularity: each skill is self-contained and discoverable via repository metadata.
  • Discoverability: agents can inspect YAML frontmatter to surface candidate skills and their basic triggers.
  • Extensibility: optional directories (scripts, references, assets) can be added to extend functionality as needed.
  • Use Case: a developer can drop a new skill folder into the repo and have agents progressively load it during task execution.

Quick Start

Initialize the test-skill-revised by loading its SKILL.md and body to validate the discovery-to-execution workflow.

Frequently Asked Questions about test-skill-revised

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

FAQPage Schema
How do I make AI agents discover and execute modular skills?▼

To make AI agents discover modular skills, you provide self-contained skill units using a root SKILL.md file. Agents inspect the YAML frontmatter to surface candidate skills and progressively load them during task execution.

What is a modular skill unit for autonomous AI agents?▼

A modular skill unit for autonomous AI agents is a self-contained repository folder that enables rapid assembly of capabilities. It uses YAML frontmatter for discoverability and a SKILL.md body for execution instructions.

How do I structure a self-contained skill folder for agent discovery?▼

Structure a self-contained skill folder by creating a root SKILL.md file containing a name and description in the YAML frontmatter. You can optionally add scripts, references, and assets directories to extend the agent's functionality.

Do I need external dependencies to use YAML frontmatter for skill discovery?▼

No external dependencies are required to use YAML frontmatter for skill discovery. You only need to define a root SKILL.md file containing the required name and description metadata for agents to evaluate and execute the skill.

What's the best way to extend an AI agent's capabilities with new skills?▼

The best way to extend an AI agent's capabilities is to drop a new self-contained skill folder into the repository. Agents will automatically discover the YAML frontmatter and progressively load the SKILL.md body during task execution.

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