skill-creator

Create reusable AgentSkill directories from a standardized template.

5|Updated Jan 31, 2026

Search Tags:#automation #templates #validation #skills #packaging #skill authoring #agentskills

Ready to run

npx skills add https://github.com/kcns008/clusterclaw --skill skill-creator-kcns008

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/kcns008/clusterclaw/tree/main/skills/skill-creator
Command: npx skills add https://github.com/kcns008/clusterclaw --skill skill-creator-kcns008

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML, and includes scripts (resource) components.

What problem does it solve?

This Skill helps create, update, structure, and package AgentSkills without reinventing the same setup, metadata, and resource organization each time.

Core Features & Use Cases

Skill Design Guidance: Plan the right mix of instructions, scripts, references, and assets for a new skill.
Skill Initialization: Create a valid skill directory with the required entry file and optional bundled resources.
Skill Packaging and Validation: Check frontmatter, naming, and structure, then package the skill for distribution.
Use Case: Use this Skill when turning a repeated workflow into a reusable AgentSkill, such as a domain helper, automation tool, or packaged internal capability.

Quick Start

Create or update a skill by describing the desired behavior, organizing the needed resources, and packaging the finished directory as a distributable skill.

Frequently Asked Questions about skill-creator

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

FAQPage Schema

How do I package an AI agent skill for distribution?▼

To package an AI agent skill for distribution, you validate the SKILL.md frontmatter, enforce directory naming conventions, and bundle resources into a distributable .skill archive. This ensures the skill directory structure meets required standards before sharing.

What is the standard directory structure for authoring AgentSkills?▼

The standard directory structure for authoring AgentSkills combines procedural instructions in an entry file with optional bundled scripts, references, and assets. This standardized template organization prevents reinventing the same setup for every new skill.

How do I validate SKILL.md frontmatter metadata for a custom skill?▼

Validating SKILL.md frontmatter involves checking the metadata fields against enforced naming and directory conventions. The validation process ensures the skill's frontmatter is correctly formatted before the directory is packaged into a distributable archive.

Do I need PyYAML to create and structure reusable automation skills?▼

Yes, PyYAML is required to create and structure reusable automation skills. This dependency supports the parsing and validation of YAML-formatted frontmatter within the SKILL.md entry file during the skill authoring and packaging workflow.

What's the best way to turn a repeated workflow into a reusable skill?▼

The best way to turn a repeated workflow into a reusable skill is to initialize a standardized skill directory, add the necessary procedural instructions and scripts, validate the frontmatter, and package it as a distributable .skill archive.

Can I update an existing skill directory without breaking packaging conventions?▼

Yes, you can update an existing skill directory without breaking packaging conventions by applying the skill structuring workflow to re-validate the SKILL.md frontmatter and directory naming before repackaging the updated assets into a .skill archive.