skill-creator

Create and update AI skills with structured YAML frontmatter and modular resources.

28|4|Updated Dec 3, 2025
One-click install
npx skills add https://github.com/BluebagAI/skills --skill skill-creator-bluebagai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/BluebagAI/skills/tree/main/skills/skill-creator
Command: npx skills add https://github.com/BluebagAI/skills --skill skill-creator-bluebagai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams design and maintain modular AI skills by providing a clear structure for metadata, guidance on resource organization, and best practices for scalable skill design.

Core Features & Use Cases

  • Structured frontmatter with required name and description
  • Guidance on organizing optional resources (scripts/, references/, assets/)
  • Proven design patterns like progressive disclosure and modular patterns
  • Use case examples for scaffolding new skills and updating existing ones

Quick Start

Replace the frontmatter and body TODOs in SKILL.md to define your skill, then add any needed resources under scripts/, references/, and assets/.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create AI skills with structured YAML frontmatter?

To create AI skills with structured YAML frontmatter, define the required name and description fields in SKILL.md, then replace the body TODOs to outline your skill's core logic and modular workflows.

What is the best way to organize modular resources for an AI skill?

Organize modular resources for an AI skill by placing executable code under scripts/, static files under assets/, and supporting documentation under references/ to ensure deterministic packaging and scalable skill design.

How do I update existing AI skills to follow modular workflow patterns?

Update existing AI skills to follow modular patterns by validating YAML frontmatter completeness, enforcing naming conventions, and reorganizing supporting files into the designated scripts/, references/, and assets/ directories.

Does this skill design guide enforce naming conventions for agent capabilities?

Yes, this skill design guide enforces naming conventions and validates YAML frontmatter completeness to ensure teams build deterministic, well-structured internal agent capabilities across any domain.

When do I need progressive disclosure in AI skill design?

You need progressive disclosure in AI skill design when structuring complex modular workflows, allowing agents to access detailed references and scripts only when required for specific tasks.

What are the limitations of using templates for scaffolding new AI skills?

The template scaffolding approach focuses on metadata structure and resource organization, meaning it does not generate the actual execution logic, which must be manually implemented within the designated modular directories.