build-skill

Create, validate, and maintain AI Skills with SKILL.md structure and naming conventions.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/kjanat/skills --skill build-skill-kjanat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: build-skill
Source: https://github.com/kjanat/skills/tree/main/skills/build-skill
Command: npx skills add https://github.com/kjanat/skills --skill build-skill-kjanat

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides the foundational knowledge and tools to create, validate, and maintain effective AI Skills, ensuring they are well-structured, discoverable, and performant.

Core Features & Use Cases

  • Skill Structure Guidance: Understand the anatomy of a skill, from minimal to complex configurations.
  • Validation Tools: Use provided scripts to check your skill's adherence to format, naming, and content best practices.
  • Use Case: When starting a new AI Skill project, use this Skill first to understand the required SKILL.md format, directory structure, and naming conventions before writing any code or documentation.

Quick Start

Use the build-skill skill to validate the structure of your new skill located in the './my-new-skill' directory.

Frequently Asked Questions about build-skill

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

FAQPage Schema
How do I structure an AI skill for agent platforms?

To structure an AI skill, you need a specific SKILL.md format with frontmatter specifications, a defined directory structure, and bundled resource management. This ensures the skill is discoverable and performs optimally.

What are the file size limits and naming conventions for AI skills?

AI skills must adhere to specific file size limits, naming conventions, and progressive disclosure principles to ensure optimal agent performance. Validation scripts are provided to check your skill's adherence to these formatting rules.

How do I validate an AI skill before deployment?

You can validate an AI skill by running provided validation scripts against your skill's directory. These scripts check the skill's adherence to format, naming conventions, and content best practices to ensure it is deployment-ready.

What is progressive disclosure in AI skill development?

Progressive disclosure in AI skill development is a principle that limits the information exposed to the agent initially, revealing deeper layers of documentation and bundled resources only as needed for optimal performance.

Do I need any dependencies to create and validate AI skills?

No dependencies are required to create and validate AI skills. This skill provides foundational knowledge, validation scripts, and reference components to guide the creation process from scratch without external packages.

Why is my AI skill not performing well with my agent?

AI skill performance issues often stem from ignoring progressive disclosure principles, exceeding file size limits, or improper frontmatter specifications. Use validation scripts to check your skill's structure and adherence to best practices.