thin-skill

Create a minimal skill scaffold with frontmatter metadata and Markdown instructions.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/jeremylongshore/j-rig-skill-binary-eval --skill thin-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thin-skill
Source: https://github.com/jeremylongshore/j-rig-skill-binary-eval/tree/main/packages/core/fixtures/packages/thin-package
Command: npx skills add https://github.com/jeremylongshore/j-rig-skill-binary-eval --skill thin-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Thin-skill provides a minimal, reusable skill scaffold suitable for demonstration, testing, or as a starting template for new skills.

Core Features & Use Cases

  • Lightweight template with frontmatter-based metadata
  • Easy extension to implement tasks and instructions
  • Suitable for teaching, demos, and onboarding new skill authors

Quick Start

Update the frontmatter with a descriptive name and a real description, then implement the body to define the operational steps.

Frequently Asked Questions about thin-skill

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

FAQPage Schema
How do I scaffold a reusable skill template with markdown and YAML frontmatter?

To scaffold a reusable skill template, use a minimal structure enforcing YAML frontmatter for metadata and a Markdown body for instructions. This provides a safe, extendable base for early-stage development and testing without complex setup.

What is the minimal structure needed to create a skill scaffold for automation?

A minimal skill scaffold requires YAML frontmatter containing a name and description, a Markdown body defining operational steps, and optional directories for scripts, references, and assets to support automation tasks.

Can I use a lightweight template for early-stage skill development and demonstrations?

Yes, a lightweight template is suitable for early-stage skill development, demonstrations, and onboarding. It provides a minimal, reusable scaffold that is easy to extend with custom tasks and instructions.

How do I extend a markdown scaffold to implement operational steps for a new skill?

To extend a markdown scaffold, update the YAML frontmatter with descriptive values, then implement the Markdown body to define the specific operational steps and automation logic required by your new skill.

Do I need dependencies to set up a minimal reusable skill scaffold?

No dependencies are required to set up a minimal reusable skill scaffold. It operates with minimal setup by relying solely on standard YAML frontmatter and Markdown structures, keeping the barrier to entry low.

What is the best way to start building a skill template for testing and onboarding?

The best way to start building a skill template is using a thin scaffold that enforces frontmatter with name and description fields, providing a safe, extendable starting point for testing, demonstrations, and onboarding new authors.