enhanced-skill-creator

Codify domain patterns into SKILL.md scaffolds with governance metadata.

Updated Feb 6, 2026

Search Tags:#automation #workflow #validation #ai #governance #engineering #skill

Ready to run

npx skills add https://github.com/glfruit/gorin-skills --skill enhanced-skill-creator-glfruit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: enhanced-skill-creator
Source: https://github.com/glfruit/gorin-skills/tree/main/openclaw/enhanced-skill-creator
Command: npx skills add https://github.com/glfruit/gorin-skills --skill enhanced-skill-creator-glfruit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bash, python3, git, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps teams design and validate high-quality agent skills by codifying case-based patterns, turning domain expertise into production-ready SKILL.md documents and governance artifacts.

Core Features & Use Cases

8-step workflow with eval pipeline (train/dev/holdout), trigger evaluation, context budgeting, and governance checks.
Self-validating: every created skill must pass ESC's checks, ensuring routing safety, structure, and readiness before packaging.
Supports progressive disclosure by structuring core rules in SKILL.md while moving dense references, templates, and templates into references/ and assets/ for on-demand loading.

Quick Start

Run the Enhanced Skill Creator to generate a production-ready Skill by providing a domain use case.

Frequently Asked Questions about enhanced-skill-creator

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

FAQPage Schema

How do I generate a production-ready AI skill scaffold from domain expertise?▼

To generate a production-ready AI skill scaffold, provide a domain use case to trigger an 8-step workflow that codifies real-world patterns into SKILL.md frontmatter, governance metadata, and structured workflow steps.

What is progressive disclosure in skill design and how does it structure references?▼

Progressive disclosure in skill design structures core rules in SKILL.md while moving dense references, templates, and assets into separate directories for on-demand loading, ensuring deterministic execution without overloading the context budget.

How do I validate agent skills for routing safety and automated integration checks?▼

You validate agent skills for routing safety by running self-validating governance checks that evaluate triggers, structure, and readiness, ensuring every created skill passes automated validation before packaging.

Does the skill creation workflow support eval pipelines with train, dev, and holdout sets?▼

The skill creation workflow supports an eval pipeline with train, dev, and holdout sets, performing trigger evaluation and context budgeting alongside governance checks to ensure production readiness.

Do I need bash, python3, and git installed to run automated skill validation?▼

Yes, you need bash, python3, and git installed in your environment, as these dependencies execute the automated validation scripts, governance checks, and integration operations required for deterministic skill execution.

What are the limitations of codifying domain patterns into SKILL.md documents?▼

The limitation of codifying domain patterns into SKILL.md documents is that pattern extraction depends entirely on the quality of provided real-world cases, meaning sparse or ambiguous use cases will yield incomplete governance metadata and workflow scaffolds.