skill-creator

Name: skill-creator
Availability: InStock
Author: sero-labs

Generate structured skill directories with YAML frontmatter and template files.

19|1|Updated Feb 7, 2026

Search Tags:#automation #workflow #template #agent #packaging #skill

Ready to run

npx skills add https://github.com/sero-labs/sero --skill skill-creator-sero-labs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/sero-labs/sero/tree/main/packages/templates/skills/skill-creator
Command: npx skills add https://github.com/sero-labs/sero --skill skill-creator-sero-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill streamlines the creation of modular, self-contained agent capabilities, ensuring that new skills are structured, documented, and packaged for optimal AI performance.

Core Features & Use Cases

Standardized Initialization: Automatically generates the required directory structure and template files for new skills.
Validation & Packaging: Ensures skills meet quality standards and bundles them into distributable formats.
Best Practice Guidance: Provides built-in patterns for progressive context loading, workflow design, and resource management.

Quick Start

Use the skill-creator to initialize a new skill named project-manager in the current directory.

Frequently Asked Questions about skill-creator

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

FAQPage Schema

How do I structure and package custom AI agent skills for automation workflows?▼

To structure custom AI agent skills, you need to generate standardized directory structures containing scripts, references, and assets. This modular approach ensures capabilities are self-contained and compatible with agent context management systems.

What is the best way to validate YAML frontmatter for modular agent workflows?▼

Validating YAML frontmatter requires checking the structured metadata against expected schema rules to ensure compatibility. This process guarantees that agent workflows correctly parse and load the necessary context.

Do I need pyyaml to build and refine custom AI skills?▼

Yes, you need the pyyaml dependency to parse and validate YAML frontmatter when building custom AI skills. This library enables the skill-creator to check directory organization and metadata compliance.

Can I automatically generate template files and directories for new agent skills?▼

Yes, you can automatically generate template files and required directories for new agent skills through standardized initialization. This creates a structured baseline including scripts, references, and assets for immediate development.

What are the limitations of using templates for modular AI skill development?▼

Using templates for modular AI skill development limits flexibility to the built-in patterns for progressive context loading and workflow design. Custom directory organizations outside the standardized structure may fail validation checks.