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skill-creator

Create or update Codex Skills with templated SKILL.md and resource scaffolding.

Updated May 25, 2025
Search Tags:#templates#validation#codex#initialization#skill#openai-yaml
One-click install
npx skills add https://github.com/temple-slope/dotfiles --skill skill-creator-temple-slope
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/temple-slope/dotfiles/tree/main/dot_codex/skills/dot_system/skill-creator
Command: npx skills add https://github.com/temple-slope/dotfiles --skill skill-creator-temple-slope

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Provides a guided framework for creating or updating Codex skills to extend capabilities with procedural knowledge, templates, and reusable resources.

Core Features & Use Cases

  • Scaffold new skill directories with SKILL.md templates and automated tooling.
  • Generate UI metadata for skill chips via agents/openai.yaml and interface configuration.
  • Organize reusable resources (scripts, references, assets) and guidelines for progressive disclosure.
  • Validate structure and iterate improvements with quick_validate and init workflows.

Quick Start

Initialize a new skill by running the Skill Initializer with the desired name and path, then customize SKILL.md and the optional resources.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create a new Codex skill from scratch?▼

Creating a new Codex skill involves initializing a directory with a templated SKILL.md, scaffolding optional resource folders like scripts and references, and validating the structure for production readiness using automated initialization workflows.

What is progressive disclosure in OpenAI YAML skills?▼

Progressive disclosure in OpenAI YAML skills is a design pattern that organizes reusable resources and guidelines so users see essential information initially, with deeper procedural knowledge revealed contextually within the SKILL.md framework.

Do I need YAML to generate UI metadata for skill chips?▼

Yes, YAML is required to generate UI metadata for Codex skill chips. The framework links to scripts that generate the required OpenAI YAML configuration and interface files needed to display skill chips correctly in the UI.

How do I validate a Codex skill structure before deployment?▼

Validating a Codex skill structure uses the quick_validate workflow to check frontmatter naming, verify directory scaffolding, and ensure all required SKILL.md templates and resource folders meet production-ready standards before deployment.

What's the best way to update an existing Codex skill?▼

Updating an existing Codex skill is best handled by modifying the SKILL.md template, adjusting resource folders, and running validation workflows to iterate improvements while maintaining correct frontmatter and OpenAI YAML metadata.

What are the limitations when scaffolding skill resource folders?▼

Scaffolding skill resource folders is limited to predefined structures like scripts, references, and assets. The framework enforces frontmatter naming rules and requires YAML dependencies, so custom directory layouts outside this schema are not supported by the validation workflows.

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