template-skill

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

Updated Jan 17, 2026
One-click install
npx skills add https://github.com/lDuang/mcp-skill-registry --skill template-skill-lduang
Or copy as Structured Prompt for Agent
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.