skill-creator

Create standardized skill directories with initialization scripts and validation tools.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/cogpy/clawcog --skill skill-creator-cogpy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/cogpy/clawcog/tree/main/skills/skill-creator
Command: npx skills add https://github.com/cogpy/clawcog --skill skill-creator-cogpy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of creating, structuring, and packaging modular AI skills, ensuring they are well-defined, efficient, and ready for deployment.

Core Features & Use Cases

  • Skill Initialization: Generates a standardized skill directory structure with essential files.
  • Resource Management: Supports the inclusion of scripts, references, and assets for enhanced skill functionality.
  • Guidance on Best Practices: Provides principles for concise skill design, progressive disclosure, and effective use of context.
  • Packaging and Validation: Includes tools to package skills into distributable formats and validate their structure.
  • Use Case: A developer needs to create a new skill to interact with a specific API. They use this skill to quickly set up the directory, write the SKILL.md, and include necessary helper scripts and documentation.

Quick Start

Use the skill-creator to initialize a new skill named 'api-helper' in the 'skills/private' directory, including scripts and reference files.

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 modular AI skills for an AI agent framework?

To create and package modular AI skills, use initialization scripts to generate a standardized directory structure with essential files, then validate the structure and package it into a distributable format for deployment.

What is the best way to structure an AI skill directory with scripts and references?

The best way to structure an AI skill directory is to use a standardized skill initialization process that organizes scripts, references, and assets, ensuring enhanced functionality and efficient context management for the AI agent.

How do I validate a modular AI skill before deployment?

You validate a modular AI skill before deployment by using built-in validation tools to check the standardized directory structure, ensuring the SKILL.md and helper scripts are correctly formatted and packaged.

Can I include helper scripts and documentation when building AI skills?

Yes, you can include helper scripts and documentation when building AI skills. The resource management feature supports adding scripts, references, and assets to enhance the skill's functionality and deployment readiness.

What are the best practices for concise AI skill design and progressive disclosure?

Best practices for concise AI skill design involve following provided guidelines on progressive disclosure and effective use of context, ensuring modular skills remain well-defined, efficient, and optimized for the AI agent framework.

Do I need PyYAML to build and package AI skills?

Yes, PyYAML is a required dependency to build and package AI skills, as the initialization scripts and validation tools rely on it to process the standardized skill directory structure and configuration files.