skillify

Name: skillify
Availability: InStock
Author: sixtycat2000-ctrl

Convert raw features or scripts into structured AI agent skills with YAML configuration.

Updated Apr 11, 2026

Search Tags:#validation #AI agent #skill creation #feature engineering #scripting

Ready to run

npx skills add https://github.com/sixtycat2000-ctrl/gbrain-qmd --skill skillify-sixtycat2000-ctrl

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skillify
Source: https://github.com/sixtycat2000-ctrl/gbrain-qmd/tree/main/skills/skillify
Command: npx skills add https://github.com/sixtycat2000-ctrl/gbrain-qmd --skill skillify-sixtycat2000-ctrl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill turns raw features or scripts into properly-skilled units of capability for AI agents, ensuring they are tested, resolvable, and evaluated.

Core Features & Use Cases

Skill Creation: Automatically generates SKILL.md files with the necessary frontmatter and placeholders.
Checklist Compliance: Provides a checklist to ensure all necessary components are in place for a skill.
Resolver Integration: Adds the skill to the resolver for the AI agent to recognize and use.

Quick Start

Run 'gbrain skillify skillify my_new_skill --description "..."'.

Frequently Asked Questions about skillify

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

FAQPage Schema

How do I convert raw scripts into structured skills for AI agents?▼

To convert raw scripts into structured skills for AI agents, use a skill creation process that generates configuration files with necessary frontmatter, integrates with the resolver, and validates the final output through manual checks.

What is the process for creating an AI agent skill from a feature?▼

Creating an AI agent skill from a feature involves generating a structured configuration file with placeholders, ensuring checklist compliance for all components, and adding the skill to the resolver for agent recognition and execution.

Does skill creation for AI agents require manual validation?▼

Yes, skill creation for AI agents requires manual intervention for final checks and validation to ensure the generated skill is properly tested, resolvable, and evaluated before deployment.

How do I ensure my custom script is recognized by an AI agent resolver?▼

To ensure your custom script is recognized by an AI agent resolver, the skill creation process adds the finalized configuration to the resolver, allowing the agent to identify and execute the structured capability.

What configuration format is used to define capabilities for AI agents?▼

YAML configuration format is used to define capabilities for AI agents, providing the necessary structure for execution scripting and ensuring the feature is properly evaluated and resolvable.

Are there limitations when automatically generating skill files from scripts?▼

A limitation of automatically generating skill files from scripts is that the process outputs placeholders and requires manual intervention for final checks, meaning it cannot guarantee complete readiness without human validation.