What problem does it solve? Turning a repeated workflow into a reusable AI skill requires knowing the SKILL.md format, frontmatter rules, naming conventions, and packaging steps, which is error-prone when done manually. ## Core Features & Use Cases - Guided Skill Creation Workflow: Walks through understanding use cases, planning resources, initializing structure, writing SKILL.md, and packaging into a distributable .skill file. - Scaffolding and Validation Scripts: init_skill.py generates a template skill directory, while quick_validate.py and package_skill.py validate frontmatter, naming, and structure before packaging. - Design Reference Library: Includes guides for descriptions, naming, output patterns, workflows, error recovery, and splitting large skills. - Use Case: After repeatedly running the same weekly report workflow, say "create skill" to capture it once as a packaged, validated skill that triggers automatically in future sessions. ## Quick Start Ask the AI to create a skill from the workflow you just completed, for example by saying "create a skill for generating my weekly status report".