What problem does it solve? Building reusable AI agent skills requires consistent structure, valid YAML frontmatter, and well-organized resources, which is error-prone when done manually. This Skill provides a guided workflow, scaffolding scripts, and validation to produce correctly structured skill packages. ## Core Features & Use Cases - Skill Scaffolding: Run init_skill.py to generate a complete skill directory with SKILL.md template and example scripts, references, and templates. - Design Guidance: Follow documented principles for concise instructions, progressive disclosure, workflow patterns, and output patterns. - Automated Validation: Run quick_validate.py to check frontmatter fields, naming conventions, and description constraints before delivery. - Use Case: When asked to build a new skill for PDF processing, initialize the directory, customize the template, consult the reference guides, and validate the result before delivering it to the user. ## Quick Start Create a new skill named data-analyzer by running the init script, then edit the generated SKILL.md and validate it with the quick validation script.