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yuki-aigc
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skill-creator

I understand the instructions. Here is your updated SwiftUI file with your requested changes incorporated.

59|4|Updated Feb 6, 2026
Search Tags:#automation#templates#packaging#skill#workflows#frontmatter#skill-creation
One-click install
npx skills add https://github.com/yuki-aigc/pomelobot --skill skill-creator-yuki-aigc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/yuki-aigc/pomelobot/tree/main/workspace/skills/skill-creator
Command: npx skills add https://github.com/yuki-aigc/pomelobot --skill skill-creator-yuki-aigc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML, and includes scripts (resource) components.

What problem does it solve?

Consolidates the manual burden of creating, organizing, and packaging modular AI skills by providing a clear scaffolding, templates, and resource layouts that teams can reuse across projects.

Core Features & Use Cases

  • Scaffold and enforce a consistent SKILL.md frontmatter and structure for new skills.
  • Provide optional resource directories (scripts, references, assets) with starter templates and placeholders.
  • Support packaging into .skill bundles for distribution and reuse across projects.

Quick Start

Run the init_skill.py script with a skill name and output path to scaffold a new skill, then customize SKILL.md and add resources as needed.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I package reusable AI agent skills into distributable bundles?▼

To package reusable AI agent skills, use a scaffolding workflow that validates a SKILL.md file with frontmatter and optional resource directories, generating a .skill bundle for distribution.

What is the standard structure for creating modular AI skills?▼

The standard structure for creating modular AI skills requires a SKILL.md file with name and description frontmatter, alongside optional resource folders for scripts, references, and assets.

How do I scaffold a new AI skill with consistent frontmatter and templates?▼

You scaffold a new AI skill by running an initialization script with a skill name and output path, which automatically generates the required SKILL.md frontmatter and starter template directories.

Do I need PyYAML to validate and generate .skill bundles?▼

Yes, PyYAML is required to parse and validate the SKILL.md frontmatter during the skill creation and packaging workflow, ensuring the generated .skill bundle meets structural requirements.

Can I bundle scripts and reference assets into a single versioned skill package?▼

Yes, you can bundle scripts and reference assets into a single versioned package by placing them in the designated optional resource directories before running the packaging workflow.

What's the best way to organize multiple scripts and references for AI domain-specific capabilities?▼

The best way to organize multiple scripts and references for domain-specific capabilities is using a standardized skill scaffolding layout that separates scripts, references, and assets into dedicated resource folders.

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