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Comprehensive skill

Skill martinemde/skillet/testdata/comprehensive-skill

šŸ³ Run SKILLs as Shell Scripts. Cook with Claude without the mess.

Install
npx -y skills add martinemde/skillet --skill comprehensive-skill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 19 stars19 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

A comprehensive skill demonstrating all frontmatter fields. Use for testing complete SKILL.md parsing.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.3 KB, as published. Nobody here has run it

Comprehensive Skill

This skill demonstrates all possible frontmatter fields and features.

Overview

This skill is designed to test the complete parsing and execution pipeline of the skillet CLI tool. It includes all optional frontmatter fields and demonstrates proper formatting.

Prerequisites

  • Git must be installed
  • Docker must be installed
  • Internet access is required

Instructions

Step 1: Initialize

First, check the environment:

git --version
docker --version

Step 2: Execute

Perform the main task according to user requirements.

Step 3: Report

Provide a detailed summary of actions taken.

Output Format

Results should be formatted as:

Task: [task name]
Status: [success/failure]
Details: [description]

Error Handling

If prerequisites are not met, report clearly which requirement failed.

Resources

Additional documentation can be found in the references/ directory.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.