What problem does it solve?
Teams building AI agent capabilities lack a consistent structure for packaging domain knowledge, workflows, and scripts into reusable skills, leading to bloated context windows and inconsistent skill quality.
Core Features & Use Cases
- Skill Scaffolding: Initialize new skill directories with a SKILL.md template and example scripts, references, and assets using init_skill.py.
- Validation and Packaging: Validate frontmatter, naming conventions, and description quality, then package skills into distributable .skill zip files with package_skill.py.
- Design Guidance: Apply progressive disclosure principles, workflow patterns, and output patterns from bundled reference documentation.
- Use Case: When you need to teach an AI agent a repeatable procedure like PDF processing or API integration, use this skill to scaffold the directory, write a concise SKILL.md, and package it for distribution.
Quick Start
Create a new skill named pdf-rotator in the skills directory and initialize its structure.