skill-creator

Generate SKILL.md frontmatter and instructional body for Claude Skills.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/fasterthanlime/.claude --skill skill-creator-fasterthanlime
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/fasterthanlime/.claude/tree/main/skills/skill-creator
Command: npx skills add https://github.com/fasterthanlime/.claude --skill skill-creator-fasterthanlime

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Provides a structured approach to building modular, reusable Claude Skills with SKILL.md and bundled resources.

Core Features & Use Cases

  • Skill anatomy: SKILL.md frontmatter plus optional scripts/references/assets
  • Skill creation process: init, edit, package, iterate
  • Packaging & validation: ensure standards and ready for distribution

Quick Start

Run the included init_skill.py to generate a template skill, then customize SKILL.md and validate with package_skill.py.

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 with proper structure and metadata?

Creating a Claude Skill requires generating SKILL.md with valid YAML frontmatter (name and description fields mandatory), then organizing optional resources into scripts/, references/, and assets/ directories. Use the included init_skill.py template to scaffold a new skill, customize the frontmatter and instructional body to match your domain, and validate with package_skill.py before distribution.

What goes into a SKILL.md file and why does the structure matter?

SKILL.md contains YAML frontmatter defining metadata (name, description, keywords) followed by instructional content structured as Workflow-Based, Task-Based, Reference, or Capabilities-Based patterns. This structure ensures consistency across deployments, enables progressive disclosure of resources, and satisfies both functional requirements and packaging standards for reusable domain extensions.

Can I package and validate a Skill to ensure it meets distribution standards?

Yes. The package_skill.py utility validates SKILL.md frontmatter completeness, YAML syntax, structural pattern compliance, and resource layout (scripts/, references/, assets/). Running this validation before distribution confirms your Skill meets mandatory fields, prescribed patterns, and technical requirements for deployment.

What's the difference between Workflow-Based, Task-Based, Reference, and Capabilities-Based Skill structures?

Skill structures prescribe how instructional content is organized: Workflow-Based sequences multi-step processes, Task-Based isolates discrete operations, Reference provides lookup information, and Capabilities-Based enumerates Claude extensions. Choosing the right structure ensures your Skill's domain knowledge, workflows, or tool integrations are presented clearly and consistently.

Do I need to include scripts, references, and assets with every Skill?

Scripts, references, and assets are optional resource bundles. Include them only if your Skill requires supporting code, external documentation, or media files. The three-resource layout accommodates Skills ranging from simple reference documents to complex tool integrations with validation and packaging utilities.

How do I iterate on a Skill after the initial creation?

The Skill creation process follows init, edit, package, iterate cycles. Edit SKILL.md frontmatter and instructional body, re-run package_skill.py to validate changes against standards, and repeat until your Skill meets distribution requirements. This workflow ensures updates maintain consistency and technical compliance.