How are skills validated and shared?

Skills are processed through a packaging script that validates metadata and directory structure before bundling everything into a distributable zip file.

What is the progressive disclosure principle in skills?

It is a three-level loading system (Metadata, SKILL.md, and Resources) that ensures Claude only uses the context tokens it needs for the task at hand.

How do I start a new skill?

Use the provided init_skill.py script to generate the required directory structure, including the SKILL.md template and folders for scripts, references, and assets.

What is a Claude Code Skill?

A specialized, modular package that extends Claude's capabilities with domain-specific knowledge, tools, and workflows, transforming it into a specialized agent for specific tasks.

Skill Creator

Name: Skill Creator
Author: s-hiraoku

bys-hiraoku

Productivity & Workflow

Standardizes the creation and packaging of custom Claude Code skills to extend AI capabilities with domain-specific knowledge.

About

Skill Creator provides a comprehensive framework for building specialized Claude Code skills, transforming a general AI into a domain-expert agent. It streamlines the entire development lifecycle—from initializing standard directory structures and defining SKILL.md metadata to implementing reusable scripts, references, and assets. By following a structured six-step process, users can reliably package and distribute modular capabilities that manage context window efficiency through progressive disclosure design principles.

Key Features

0 GitHub stars
Progressive disclosure design to optimize context window usage
Structured support for bundled scripts, reference docs, and brand assets
Automated skill initialization with standardized directory structures
Integrated validation and packaging for distributable zip files
Imperative instruction templates for consistent AI behavior

Use Cases

Developing reusable boilerplate templates for consistent project scaffolding
Creating specialized tool integrations for unique file formats or APIs
Building company-specific onboarding guides for internal codebases

About

Key Features

0 GitHub stars
Progressive disclosure design to optimize context window usage
Structured support for bundled scripts, reference docs, and brand assets
Automated skill initialization with standardized directory structures
Integrated validation and packaging for distributable zip files
Imperative instruction templates for consistent AI behavior

Use Cases

Developing reusable boilerplate templates for consistent project scaffolding
Creating specialized tool integrations for unique file formats or APIs
Building company-specific onboarding guides for internal codebases