skillify

Convert raw features into test-covered skills with YAML-frontmattered SKILL.md entries.

Updated May 11, 2026

Search Tags:#skills #scaffold #resolver #skillify #gbrain #feature-to-skill

Ready to run

npx skills add https://github.com/yunusgungor/gbrain --skill skillify-yunusgungor

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turning raw feature ideas into fully defined, testable, and resolvable skills with a consistent SKILL.md frontmatter so features can be discovered, traced, and integrated into the agent framework.

Core Features & Use Cases

Auto-synthesis of a complete skill specification (name, version, description, triggers, tools, mutating flag) from a raw feature description.
Scaffold generation and resolver integration to ensure new skills participate in the resolver, testing, and brain filing process.
Guidance for Phase-driven skill completion: auditing, unit tests, integration tests, evals, resolver tests, and end-to-end validation.

Quick Start

Describe the feature you want skillified and run Skillify to generate the SKILL.md and resolver hooks.

Frequently Asked Questions about skillify

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

FAQPage Schema

How do I convert raw features into testable skills with YAML frontmatter?▼

To scaffold skills from raw features, use Skillify to auto-synthesize skill specifications and generate YAML-frontmattered SKILL.md entries. It guides auditing, scaffolding, testing, and resolver integration to ensure features become fully defined, test-covered skills.

What is the process for scaffolding a new skill and integrating it into the resolver?▼

Scaffolding a new skill involves generating a SKILL.md file with YAML frontmatter, establishing deterministic code paths, writing unit and integration tests, and adding resolver entries to satisfy the skill's contract within the agent framework.

Do I need unit and integration tests to complete skill scaffolding?▼

Yes, skill scaffolding requires unit and integration tests to ensure complete skill infrastructure. If LLM evals are used, they are also required, alongside deterministic code paths and resolver entries to fully satisfy the skill's contract.

How does SKILL.md frontmatter help discover and trace features in an agent framework?▼

SKILL.md frontmatter provides a consistent specification including name, version, description, triggers, tools, and mutating flags. This standardization allows features to be discovered, traced, and integrated into the agent framework's resolver and brain filing process.

What are the limitations of using auto-synthesis for feature-to-skill conversion?▼

Auto-synthesis for feature-to-skill conversion applies only to features lacking complete skill infrastructure. It requires deterministic code paths when applicable and cannot bypass the mandatory resolver tests and end-to-end validation phase needed to satisfy the skill's contract.