skill-creator

Create, validate, and package custom AI agent skills into .skill files.

1|Updated May 3, 2026
One-click install
npx skills add https://github.com/brikkoAI/brikko-studio --skill skill-creator-brikkoai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/brikkoAI/brikko-studio/tree/main/packages/core/skills/skill-creator
Command: npx skills add https://github.com/brikkoAI/brikko-studio --skill skill-creator-brikkoai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the guesswork and inconsistency of building custom AI agent skills from scratch, ensuring all skills follow standardized structure, naming conventions, and best practices for reliable triggering and performance.

Core Features & Use Cases

  • End-to-End Skill Creation Workflow: Step-by-step guidance to take a skill idea from initial concept to packaged, distributable .skill file, including planning reusable resources and writing effective SKILL.md content.
  • Built-in Validation & Packaging Tools: Scripts to validate skill structure, frontmatter requirements, and naming rules, then package valid skills into secure, shareable .skill files with symlink exclusion.
  • Best Practice Guidance: Established patterns for progressive disclosure, resource organization, and skill structuring to ensure skills are efficient, maintainable, and work as intended with AI agents.
  • Use Case: For example, if you want to build a skill to automate BigQuery query generation for your team, this Skill guides you through naming the skill correctly, organizing schema references, and packaging it for distribution.

Quick Start

Use the skill-creator skill to build a new custom skill for automating PDF form data extraction, following the provided creation, validation, and packaging workflow.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create and package custom AI agent skills for distribution?

To create custom AI agent skills, you need to author a SKILL.md file with valid YAML frontmatter, organize reusable resources, validate the structure, and package it into a secure .skill file. This workflow ensures consistent hyphen-case naming and progressive disclosure design.

What is progressive disclosure in AI agent skill authoring?

Progressive disclosure in skill authoring is a design pattern that structures SKILL.md content to reveal information incrementally. It ensures AI agents process skills efficiently by organizing resources and instructions hierarchically, maintaining performance and reliable triggering without overwhelming the context window.

How do I validate AI agent skill structure before packaging?

You validate AI agent skill structure by running validation scripts that check for valid YAML frontmatter, consistent hyphen-case naming rules, and required file organization. This process ensures the skill meets standardized conventions before being packaged into a distributable file.

Does packaging AI agent skills protect against symlink and path escape vulnerabilities?

Packaging AI agent skills includes built-in protection against symlink and path escape vulnerabilities. The packaging scripts automatically exclude symlinks and validate file paths to ensure the generated .skill files are secure and safe for distribution across different environments.

Do I need pyyaml to author and validate custom AI agent skills?

You need pyyaml installed to support the validation and parsing of YAML frontmatter in custom AI agent skills. This dependency allows the validation scripts to read and enforce the required metadata structure within the SKILL.md file.

What is the best way to structure reusable resources for AI coding agent skill development?

The best way to structure reusable resources for AI coding agent skills is to follow established patterns for resource organization and progressive disclosure. Planning reusable resources upfront ensures the skill remains maintainable, efficient, and works reliably with AI agents during execution.