What problem does it solve? Building reusable skills for AI agents requires consistent structure, valid YAML frontmatter, and disciplined packaging, which is error-prone when done by hand. This Skill standardizes the entire lifecycle of authoring new skills or updating existing ones. ## Core Features & Use Cases - Skill Scaffolding: Run init_skill.py to generate a complete skill directory with a SKILL.md template and example scripts, references, and assets folders. - Validation & Packaging: Use quick_validate.py and package_skill.py to check frontmatter rules (naming, description length, allowed fields) and produce a distributable .skill zip file. - Design Guidance: Apply progressive disclosure, workflow, and output patterns from references/workflows.md and references/output-patterns.md to keep skills concise and effective. - Use Case: When you want to teach an agent a new capability, such as processing a proprietary file format, use this Skill to scaffold the directory, write the instructions, validate the metadata, and package it for distribution. ## Quick Start Ask the agent to create a new skill named pdf-rotator using the skill creator, then validate and package it into a .skill file.
