skill-creator

Scaffold Claude skill directories with SKILL.md templates and validation scripts.

2|Updated Nov 15, 2025
One-click install
npx skills add https://github.com/P47Phoenix/Claude-Plugins --skill skill-creator-p47phoenix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/P47Phoenix/Claude-Plugins/tree/main/skill-creator
Command: npx skills add https://github.com/P47Phoenix/Claude-Plugins --skill skill-creator-p47phoenix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Creating new AI skills can be a complex process, requiring adherence to specific structures, best practices, and technical considerations. This Skill streamlines the entire creation lifecycle, guiding you from initial concept to a fully functional, validated skill, thereby saving significant development time and reducing potential errors.

Core Features & Use Cases

  • Guided Skill Design: Provides a structured, step-by-step process for understanding requirements and planning reusable content (scripts, references, assets).
  • Automated Initialization: Utilizes init_skill.py to quickly scaffold new skill directories with the correct template and essential placeholders.
  • Validation & Packaging: Ensures your skill meets all necessary requirements and is ready for distribution using package_skill.py.
  • Use Case: You want to create a new skill to automate your company's internal report generation. Use this Skill to quickly set up the directory, define the workflow, implement necessary scripts, and package it for seamless use by other team members.

Quick Start

Help me create a new skill called 'report-generator' that automates our monthly sales report.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create a new Claude skill from scratch?

Create a new Claude skill by initializing a structured directory with YAML frontmatter metadata, a SKILL.md body file, and optional bundled resources like scripts. Use automated scaffolding templates to generate the correct structure, then define your skill's workflow, implement required scripts, and validate against the skill packaging requirements before distribution.

What's the best way to structure a Claude skill for reusability?

Structure a Claude skill with modular components: YAML frontmatter containing name and description, a SKILL.md body organized by workflow, task, or reference type, and bundled resources (scripts, references, assets) kept separate. This modular approach ensures your skill is domain-specific, portable, and ready for team onboarding without tight coupling to specific implementations.

Can I automate skill creation and packaging workflows?

Yes. Use provided automation scripts—init_skill.py to scaffold new skill directories with templates and placeholders, and package_skill.py to validate and package completed skills for distribution. These tools enforce structural requirements and reduce manual setup time, letting you focus on skill logic rather than boilerplate.

What validation does the skill packaging process perform?

The packaging process validates that your skill meets all structural requirements: YAML frontmatter with required name and description fields, a properly formatted SKILL.md body, and correct component organization. Validation ensures your skill is complete and ready for distribution before packaging.

Do I need prior AI development experience to create a Claude skill?

No. This skill provides guided step-by-step design processes, templates, and scaffolding tools that handle structural requirements and best practices. You focus on defining your skill's logic and requirements; the templates and automation handle the technical packaging and validation.

How do I package a skill for team distribution?

Package a completed skill by running the packaging workflow script, which validates your SKILL.md structure, frontmatter metadata, and bundled resources, then produces a distributable package. Once packaged, your skill is ready for other team members to use without additional setup or configuration.