skill-creator

To create and package modular AI skills, use initialization scripts to scaffold standard directories, define capabilities in SKILL.md, add custom scripts, and bundle them into a distributable .skill format. This enforces best practices for modular skill organization and discoverability.

The standard structure for organizing AI skills separates components into dedicated directories: scripts/ for executable logic, references/ for documentation, and assets/ for static files. The SKILL.md file acts as the central manifest defining the skill's capabilities and structure.

You can scaffold a new AI skill project by running an initialization script like init_skill.py. This tool automatically generates the required directories, templates, and SKILL.md configuration files, ensuring the new skill adheres to standardized packaging formats from the start.

No external dependencies are required to validate and bundle skills. The framework operates independently using included scripts to package skills into a distributable .skill format, ensuring they adhere to required standards without needing external libraries.

Yes, you can include custom Python scripts for data parsing by placing them in the bundled scripts/ directory. The skill structure explicitly supports optional scripts, references, and assets to enable specialized AI agent capabilities like data processing.

The best way to ensure custom AI skills adhere to packaging standards is to run a validation script like package_skill.py. This tool checks the skill's structure and bundles it into a distributable .skill format, enforcing best practices for organization and discoverability.