skill-creator

Name: skill-creator
Availability: InStock
Author: kuroweb

Guide developers through creating and structuring AI skills with best practices.

Updated Jun 18, 2023

Search Tags:#skill development #workflow automation #prompt engineering #ai agent #ai skills #developer guide

Ready to run

npx skills add https://github.com/kuroweb/dotfiles --skill skill-creator-kuroweb

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/kuroweb/dotfiles/tree/main/agents/.cursor/skills/skill-creator
Command: npx skills add https://github.com/kuroweb/dotfiles --skill skill-creator-kuroweb

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide and best practices for creating new AI skills or updating existing ones, ensuring they effectively extend AI capabilities with specialized knowledge and workflows.

Core Features & Use Cases

Skill Anatomy: Explains the structure of a skill (SKILL.md, scripts/, references/, assets/).
Design Principles: Covers conciseness, progressive disclosure, and setting appropriate degrees of freedom.
Skill Creation Process: Outlines a step-by-step guide from understanding the skill to iteration.
Use Case: A developer needs to create a new AI skill to manage company-specific API integrations. They would use this Skill to understand the required structure, best practices for documentation, and how to package the skill for deployment.

Quick Start

Use the skill-creator to learn how to build a new AI skill.

Frequently Asked Questions about skill-creator

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

FAQPage Schema

How do I structure an AI skill for workflow automation?▼

AI skills are structured using a main SKILL.md file alongside dedicated directories for scripts, references, and assets. This anatomy separates documentation from executable logic, ensuring the skill is modular and easy to iterate on.

What are the core principles for effective prompt engineering in AI agents?▼

Core principles for effective prompt engineering in AI skills include conciseness, progressive disclosure, and setting appropriate degrees of freedom. Following these guidelines ensures the AI agent executes specialized knowledge workflows predictably.

What is the step-by-step process for AI skill development?▼

The step-by-step process for AI skill development involves planning, initialization, editing, packaging, and iteration. This lifecycle guides developers from understanding initial requirements through to final deployment and continuous refinement.

Do I need prior developer experience to build custom AI skills?▼

Building custom AI skills is designed for developers building custom AI extensions, requiring a foundational understanding of prompt engineering and workflow automation. You need this technical background to effectively package and deploy skill components.

When should I use progressive disclosure in skill development?▼

Use progressive disclosure in skill development when an AI agent needs to handle complex workflows without being overwhelmed by initial context. This design principle reveals information progressively, keeping the skill concise while supporting advanced interactions.