structured-skill-creator

Create and validate skills in a local skills/ repository with strict template structure.

5|Updated Jul 6, 2025

Search Tags:#automation #template #development #validation #scaffold #repository #skill

Ready to run

npx skills add https://github.com/GuicedEE/ai-rules --skill structured-skill-creator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: structured-skill-creator
Source: https://github.com/GuicedEE/ai-rules/tree/main/skills/.curated/structured-skill-creator
Command: npx skills add https://github.com/GuicedEE/ai-rules --skill structured-skill-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Creating and validating skills within a local repository is error-prone without a strict, repeatable workflow. This Skill enforces a template-based approach to skill scaffolding and ensures consistent metadata and structure.

Core Features & Use Cases

Local template scaffolding that standardizes skill layout (SKILL.md, agents/openai.yaml, LICENSE.txt) and optional folders (scripts/, references/, assets/).
Automated validation using internal scripts to verify frontmatter, required files, and directory structure before delivery.
Use Case: teams can rapidly bootstrap new skills for internal tooling and governance with guaranteed compliance.

Quick Start

Scaffold a new skill from the template, customize its content, and run strict validation before final delivery.

Frequently Asked Questions about structured-skill-creator

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

FAQPage Schema

How do I automate skill scaffolding for a local repository?▼

Skill scaffolding is automated by applying a strict template workflow that generates required root files like SKILL.md, agents/openai.yaml, and LICENSE.txt, then validates the directory structure before final delivery.

What's the best way to validate skill metadata and frontmatter before delivery?▼

Validating skill metadata requires running internal validation scripts that check for required frontmatter fields like name and description, verify mandatory root files exist, and enforce correct directory structure.

How do I create a new skill template with standardized directories?▼

Creating a new skill template involves scaffolding the standardized layout with required root files and optional folders like scripts/, references/, and assets/, ensuring consistent structure for internal tooling and governance.

Why does my skill validation fail when required files are missing?▼

Skill validation fails when the strict template workflow detects missing mandatory files such as SKILL.md, agents/openai.yaml, or LICENSE.txt at the root, or when frontmatter lacks required name and description fields.

Do I need a specific repository structure to scaffold and validate skills locally?▼

A local skills/ repository structure is required to scaffold and validate skills, where the strict template enforces frontmatter compliance and mandates SKILL.md, agents/openai.yaml, and LICENSE.txt at the skill root.

Can I customize skill templates with optional folders like scripts and references?▼

Customizing skill templates supports optional folders including scripts/, references/, and assets/ alongside the required root files, allowing teams to bootstrap new skills while maintaining guaranteed compliance through validation.