Skill Creator

Define directory structures and writing rules for high-density agent skills.

Updated Mar 7, 2026

Search Tags:#prompt engineering #skill creation #agent skills #progressive disclosure #instruction design #token economy

Ready to run

npx skills add https://github.com/ntluong95/agent-skills-statistics --skill skill-creator-ntluong95

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Skill Creator
Source: https://github.com/ntluong95/agent-skills-statistics/tree/main/.github/skills/skill-creator
Command: npx skills add https://github.com/ntluong95/agent-skills-statistics --skill skill-creator-ntluong95

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a strict framework for creating new AI agent skills that maximize information density and minimize token consumption, ensuring optimal performance across various AI agents.

Core Features & Use Cases

Token Economy Principles: Guides users on writing concise, imperative instructions and leveraging progressive disclosure.
Directory Structure Standards: Defines optimal organization for SKILL.md, scripts/, references/, and assets/.
Use Case: When developing a new skill for an AI agent, use this Skill Creator to ensure the SKILL.md is lean, examples are deferred to references/, and automation is placed in scripts/, adhering to token limits.

Quick Start

Use the Skill Creator to define the directory structure for a new skill focused on API documentation.

Frequently Asked Questions about Skill Creator

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

FAQPage Schema

How do I write AI agent skills that minimize token consumption?▼

To write AI agent skills that minimize token consumption, author concise, imperative instructions and leverage progressive disclosure. This approach defers examples to external files, ensuring optimal context window utilization across various AI agents.

What is progressive disclosure in prompt engineering and instruction design?▼

Progressive disclosure in prompt engineering is a content organization strategy that keeps the main SKILL.md lean by loading detailed references only when needed. This mechanism maximizes information density and optimizes context window utilization.

How do I structure directories for high-density AI agent skills?▼

Structure high-density AI agent skills by organizing content into a root SKILL.md, a scripts/ directory for automation, references/ for deferred examples, and assets/ for supplementary files. This enforces strict size limits and validation checklists.

Can I use this framework to create skills for any AI agent platform?▼

Yes, you can use this framework to create skills for any AI agent platform. It establishes universal guidelines for instruction design and token economy, ensuring optimal performance and efficient context window utilization across various AI agents.

What are the limitations of using strict size limits for SKILL.md files?▼

Strict size limits for SKILL.md files restrict the amount of inline detail and examples you can include. When should you not use this approach? Avoid it if your skill requires dense, immediate context loading rather than deferring information to references.

Does Skill Creator work with existing token economy validation checklists?▼

Skill Creator works with token economy validation checklists by enforcing strict size limits and directory structure standards. It defines writing rules that ensure your SKILL.md adheres to efficient context window utilization guidelines.