What are bundled resources in a skill?

Resources include executable scripts for deterministic tasks, reference docs for domain expertise, and assets like templates or icons used in final outputs.

How do I distribute my created skill?

Use the package_skill.py script to automatically validate your skill's structure and metadata before bundling it into a distributable zip file.

Why use the Progressive Disclosure principle?

It manages context window efficiency by only loading deep reference material or executing scripts when Claude determines they are strictly necessary for the task.

What is a Claude Code Skill?

A Claude Code Skill is a specialized, modular package that extends Claude's capabilities with domain-specific knowledge, tool integrations, and procedural workflows.

How do I start creating a new skill?

Run the included init_skill.py script to generate a template directory containing the required SKILL.md file and resource folders for scripts, references, and assets.

Skill Creator

Name: Skill Creator
Author: homveloper

byhomveloper

Developer Tools

Streamlines the process of building, documenting, and packaging specialized Claude Code skills.

About

Skill Creator provides a standardized framework for extending Claude's capabilities with domain-specific knowledge and modular workflows. It guides developers through the entire lifecycle of skill development—from initial conceptualization and directory initialization to implementing progressive disclosure patterns. By organizing resources into scripts, references, and assets, it ensures that custom skills are context-efficient, deterministic, and ready for distribution via automated validation and packaging scripts.

Key Features

Automated skill initialization with standardized directory structures
Support for bundled resources including Python/Bash scripts and reference docs
Built-in validation and packaging for easy skill distribution
0 GitHub stars
Context-efficient design patterns using the Progressive Disclosure principle
Template-driven SKILL.md generation with required YAML metadata

Use Cases

Building specialized domain-specific onboarding guides for AI agents
Organizing complex API documentation and schemas for context-aware reference
Packaging repetitive boilerplate code and assets into reusable templates

About

Key Features

Automated skill initialization with standardized directory structures
Support for bundled resources including Python/Bash scripts and reference docs
Built-in validation and packaging for easy skill distribution
0 GitHub stars
Context-efficient design patterns using the Progressive Disclosure principle
Template-driven SKILL.md generation with required YAML metadata

Use Cases

Building specialized domain-specific onboarding guides for AI agents
Organizing complex API documentation and schemas for context-aware reference
Packaging repetitive boilerplate code and assets into reusable templates