skill-creator

Name: skill-creator
Availability: InStock
Author: luisalbertomk

Create LLM skills with YAML frontmatter and modular documentation.

Updated Apr 28, 2026

Search Tags:#automation #workflow #documentation #standardization #agent #skill

Ready to run

npx skills add https://github.com/LuisAlbertoMK/gentleman-agent-gh --skill skill-creator-luisalbertomk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/LuisAlbertoMK/gentleman-agent-gh/tree/main/internal/assets/skills/skill-creator
Command: npx skills add https://github.com/LuisAlbertoMK/gentleman-agent-gh --skill skill-creator-luisalbertomk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the inconsistency and lack of structure when creating new AI instructions, ensuring that all custom skills follow a unified, high-performance format.

Core Features & Use Cases

Standardized Skill Architecture: Enforces a mandatory structure including Activation Contracts, Hard Rules, and Decision Gates.
Quality Assurance: Provides a systematic checklist to ensure skills are concise, actionable, and optimized for LLM runtime performance.
Use Case: When you identify a recurring coding pattern or workflow, use this skill to generate a robust, reusable instruction set that your AI agent can reliably execute.

Quick Start

Use the skill-creator to generate a new skill named code-refactor that follows the repository style guide.

Frequently Asked Questions about skill-creator

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

FAQPage Schema

How do I standardize AI agent instructions for consistent workflow automation?▼

To standardize AI agent instructions, enforce a strict YAML frontmatter and modular documentation structure to maintain operational consistency, hard rules, and activation contracts across all generated LLM-first skill units.

What is the best way to create reusable LLM-first skills for recurring coding patterns?▼

The best way to create reusable LLM-first skills is to apply a standardized architecture with decision gates and a quality assurance checklist, ensuring the generated instructions remain concise and optimized for agent runtime performance.

Do I need a style guide to generate standardized AI documentation?▼

Yes, you need a repository skill-style-guide to generate standardized AI documentation. Adherence to this guide ensures operational consistency, optimal token usage, and unified high-performance formatting across all skills.

How does YAML frontmatter improve AI agent workflow standardization?▼

YAML frontmatter improves AI agent workflow standardization by enforcing a mandatory structure that defines activation contracts and hard rules, ensuring the agent reliably executes project-specific decision-making patterns.

Can I use this approach to maintain project-specific agent workflows?▼

Yes, you can use this approach to maintain project-specific agent workflows. It standardizes the creation and maintenance of LLM-first skill units by applying structured documentation to recurring workflows and decision-making patterns.

What are the limitations when enforcing strict documentation structures for AI agents?▼

The limitation of enforcing strict documentation structures is the mandatory adherence to the repository skill-style-guide. Deviation from these standardized formats risks breaking operational consistency and degrading optimal token usage.