template-skill

Generate skill.meta.json and registry fields from SKILL.md frontmatter.

Updated Jan 17, 2026

Search Tags:#template #documentation #ai #metadata #skill #frontmatter

Ready to run

npx skills add https://github.com/lDuang/mcp-skill-registry --skill template-skill-lduang

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: template-skill
Source: https://github.com/lDuang/mcp-skill-registry/tree/main/skill/template
Command: npx skills add https://github.com/lDuang/mcp-skill-registry --skill template-skill-lduang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creates a standardized scaffold for new AI skills by enforcing a consistent frontmatter and structure, enabling reliable discovery and deployment.

Core Features & Use Cases

Standardized frontmatter: ensures every skill has a name and description for discoverability.
Automated metadata generation: derives skill.meta.json entries with head, updatedAt, and checkedAt timestamps.
Quick-startable templates: lets teams clone and customize skeleton skills for rapid onboarding and deployment.

Quick Start

Replace the frontmatter name and description and fill the body with your own instructions to create a usable skill template.

Frequently Asked Questions about template-skill

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

FAQPage Schema

How do I create standardized AI skill metadata from a frontmatter template?▼

To create standardized AI skill metadata, you apply a ready template to skeleton repositories to generate consistent name, description, and tooling fields. This enforces YAML frontmatter and produces a skill.meta.json file for reliable discovery and versioning.

What is the best way to enforce consistent YAML frontmatter for AI skills?▼

The best way to enforce consistent YAML frontmatter for AI skills is to use a standardized template. It guarantees every skill includes a name and description, enabling reliable deployment and automated metadata generation across repositories.

How do I generate skill.meta.json entries with timestamps for deployment?▼

You generate skill.meta.json entries with timestamps by applying a skill template to skeleton repositories. This process automatically derives head, updatedAt, and checkedAt timestamps to support discovery and versioning.

Can I clone a ready template to quickly start a new AI skill?▼

Yes, you can clone a ready template to quickly start a new AI skill. By replacing the frontmatter name and description and filling the body with your own instructions, teams can rapidly onboard and deploy customized skeleton skills.

Why do I need a standardized scaffold for AI skill discovery?▼

You need a standardized scaffold for AI skill discovery because it ensures every skill has a consistent frontmatter structure. This allows deployment systems to reliably parse the name and description fields required for registry discovery and versioning.