template-skill

Generate a YAML frontmatter and Markdown body skeleton for new Claude skills.

35|3|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/lauvsong/claude-soul --skill template-skill-lauvsong
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: template-skill
Source: https://github.com/lauvsong/claude-soul/tree/main/skills/template
Command: npx skills add https://github.com/lauvsong/claude-soul --skill template-skill-lauvsong

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The template skill provides a ready-to-use scaffold for creating new AI skills, streamlining discovery and standardization while reducing setup time.

Core Features & Use Cases

  • Standard metadata structure (name, description, request, complexity, category, keywords, dependencies, components) ensures consistency across skills.
  • Quick-start blueprint for teams to populate with real instructions, assets, and references.
  • Use Case: teams can rapidly bootstrap a new Claude skill by copying this skeleton and customizing fields for their domain.

Quick Start

Populate the SKILL.md with a real name, description, and concrete instructions, then add any optional assets as needed.

Frequently Asked Questions about template-skill

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

FAQPage Schema
How do I create a new Claude skill with consistent metadata structure?

To create a new Claude skill, use a metadata skeleton template that provides a standardized YAML frontmatter and Markdown body. This ensures fields like name, description, category, keywords, dependencies, and components are consistently populated.

What is the standard structure for AI skill documentation?

The standard structure for AI skill documentation combines a machine-readable YAML frontmatter for metadata like dependencies and components, paired with a Markdown body containing clearly defined sections for concrete instructions and references.

Can I use this template to bootstrap AI skills for a specific domain?

Yes, you can bootstrap AI skills for a specific domain by copying the metadata scaffold and customizing the fields. Teams populate the skeleton with real instructions, assets, and references tailored to their workflow.

What's the best way to standardize metadata across multiple AI skills?

The best way to standardize metadata across multiple AI skills is to apply a ready-to-use scaffold enforcing a formal structure. This reduces setup time and streamlines discovery by ensuring all fields like complexity and components are uniformly defined.

Do I need to define dependencies and components when generating a skill template?

Yes, defining dependencies and components is required when generating a skill template. The skeleton ensures these fields are represented in a machine-readable format within the YAML frontmatter for proper workflow execution.